<div style="line-height:0.2em;">


[**LLaRA: Supercharging Robot Learning Data for Vision-Language Policy**](https://arxiv.org/abs/2406.20095) （**2024.06.28**）

<font color="gray">Xiang Li, Cristina Mata, Jong Sung Park, Kumara Kahatapitiya, Yoo Sung Jang, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-3-red)  [![](https://img.shields.io/badge/Github%20Stars-77-blue)](https://github.com/lostxine/llara)

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[**Dataset Size Recovery from LoRA Weights**](https://arxiv.org/abs/2406.19395) （**2024.06.27**）

<font color="gray">Mohammad Salama, Jonathan Kahana, Eliahu Horwitz, Yedid Hoshen </font>

![](https://img.shields.io/badge/Citations-0-green)

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[**Dual-Phase Accelerated Prompt Optimization**](https://arxiv.org/abs/2406.13443) （**2024.06.19**）

<font color="gray">Muchen Yang, Moxin Li, Yongle Li, Zijun Chen, Chongming Gao, etc </font>

![](https://img.shields.io/badge/Citations-0-green)

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[**From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries**](https://arxiv.org/abs/2406.12824) （**2024.06.18**）

<font color="gray">Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-8-red)

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[**VoCo-LLaMA: Towards Vision Compression with Large Language Models**](https://arxiv.org/abs/2406.12275) （**2024.06.18**）

<font color="gray">Xubing Ye, Yukang Gan, Xiaoke Huang, Yixiao Ge, Ying Shan, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-10-red)  [![](https://img.shields.io/badge/Github%20Stars-58-blue)](https://github.com/Yxxxb/VoCo-LLaMA)

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[**LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation**](https://arxiv.org/abs/2406.12832) （**2024.06.18**）

<font color="gray">Seyedarmin Azizi, Souvik Kundu, M. Pedram </font>

![](https://img.shields.io/badge/Citations-0-green)

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[**The Impact of Initialization on LoRA Finetuning Dynamics**](https://arxiv.org/abs/2406.08447) （**2024.06.12**）

<font color="gray">Soufiane Hayou, Nikhil Ghosh, Bin Yu </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-3-red)

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[**An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models**](https://arxiv.org/abs/2406.05130) （**2024.06.07**）

<font color="gray">Xiongtao Zhou, Jie He, Yuhua Ke, Guangyao Zhu, V'ictor Guti'errez-Basulto, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-1-red)

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[**Cross-Context Backdoor Attacks against Graph Prompt Learning**](https://doi.org/10.48550/arXiv.2405.17984) （**2024.05.28**）

<font color="gray">Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor Tsang, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-1-green)

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[**Yuan 2.0-M32: Mixture of Experts with Attention Router**](https://doi.org/10.48550/arXiv.2405.17976) （**2024.05.28**）

<font color="gray">Shaohua Wu, Jiangang Luo, Xi Chen, Lingjun Li, Xudong Zhao, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)  [![](https://img.shields.io/badge/Github%20Stars-160-blue)](https://github.com/ieit-yuan/yuan2.0-m32)

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[**Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion**](https://doi.org/10.48550/arXiv.2405.11464) （**2024.05.19**）

<font color="gray">Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)

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[**Unsupervised Image Prior via Prompt Learning and CLIP Semantic Guidance for Low-Light Image Enhancement**](https://doi.org/10.48550/arXiv.2405.11478) （**2024.05.19**）

<font color="gray">Igor Morawski, Kai He, Shusil Dangi, Winston H. Hsu .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)

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[**Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transformers**](https://doi.org/10.48550/arXiv.2405.10612) （**2024.05.17**）

<font color="gray">Shengyuan Yang, Jiawang Bai, Kuofeng Gao, Yong Yang, Yiming Li, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-2-green)  [![](https://img.shields.io/badge/Github%20Stars-9-blue)](https://github.com/20000yshust/swarm)

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[**Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers**](https://doi.org/10.48550/arXiv.2405.10276) （**2024.05.16**）

<font color="gray">Tuo Zhang, Jinyue Yuan, A. Avestimehr .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)

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[**Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification**](https://doi.org/10.48550/arXiv.2405.06468) （**2024.05.10**）

<font color="gray">Yaoqin Ye, Junjie Zhang, Hongwei Shi .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)

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[**Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning**](https://doi.org/10.48550/arXiv.2405.05615) （**2024.05.09**）

<font color="gray">Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-1-green)  [![](https://img.shields.io/badge/Github%20Stars-38-blue)](https://github.com/jieshibo/memvp)

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[**On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?**](https://doi.org/10.48550/arXiv.2405.02266) （**2024.05.03**）

<font color="gray">Maxime Zanella, Ismail Ben Ayed .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-3-green)  [![](https://img.shields.io/badge/Github%20Stars-25-blue)](https://github.com/maxzanella/mta)

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[**AdaMoLE: Fine-Tuning Large Language Models with Adaptive Mixture of Low-Rank Adaptation Experts**](https://doi.org/10.48550/arXiv.2405.00361) （**2024.05.01**）

<font color="gray">Zefang Liu, Jiahua Luo .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)  [![](https://img.shields.io/badge/Github%20Stars-11-blue)](https://github.com/zefang-liu/adamole)

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[**Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models**](https://doi.org/10.48550/arXiv.2405.00402) （**2024.05.01**）

<font color="gray">Leonardo Ranaldi, André Freitas .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-1-green)

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[**RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization**](https://doi.org/10.48550/arXiv.2405.00657) （**2024.05.01**）

<font color="gray">Dongqi Pu, Vera Demberg .  - 【North American Chapter of the Association for Computational Linguistics】</font>

![](https://img.shields.io/badge/Citations-1-green)

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[**Training-Free Unsupervised Prompt for Vision-Language Models**](https://doi.org/10.48550/arXiv.2404.16339) （**2024.04.25**）

<font color="gray">Sifan Long, Linbin Wang, Zhen Zhao, Zichang Tan, Yiming Wu, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)  [![](https://img.shields.io/badge/Github%20Stars-5-blue)](https://github.com/wlb12345/tfup)

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[**AAPL: Adding Attributes to Prompt Learning for Vision-Language Models**](https://doi.org/10.48550/arXiv.2404.16804) （**2024.04.25**）

<font color="gray">Gahyeon Kim, Sohee Kim, Seokju Lee .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)  [![](https://img.shields.io/badge/Github%20Stars-26-blue)](https://github.com/Gahyeonkim09/AAPL)

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[**V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning**](https://doi.org/10.48550/arXiv.2404.12353) （**2024.04.18**）

<font color="gray">Hang Hua, Yunlong Tang, Chenliang Xu, Jiebo Luo .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-2-green)

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[**LLMTune: Accelerate Database Knob Tuning with Large Language Models**](https://doi.org/10.48550/arXiv.2404.11581) （**2024.04.17**）

<font color="gray">Xinmei Huang, Haoyang Li, Jing Zhang, Xinxin Zhao, Zhiming Yao, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)  [![](https://img.shields.io/badge/Github%20Stars-25.7k-blue)](https://github.com/hiyouga/llama-factory)

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[**DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model**](https://arxiv.org/abs/2404.05182) （**2024.04.08**）

<font color="gray">Chao Gao, Sai Qian Zhang </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-4-red)

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[**3P-LLM: Probabilistic Path Planning using Large Language Model for Autonomous Robot Navigation**](https://doi.org/10.48550/arXiv.2403.18778) （**2024.03.27**）

<font color="gray">Ehsan Latif .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)

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[**SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts**](https://arxiv.org/abs/2403.13258) （**2024.03.20**）

<font color="gray">Xian Lin, Yangyang Xiang, Zhehao Wang, Kwang-Ting Cheng, Zengqiang Yan, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  [![](https://img.shields.io/badge/Github%20Stars-10-blue)](https://github.com/xianlin7/samct)

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[**AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models**](https://arxiv.org/abs/2403.13269) （**2024.03.20**）

<font color="gray">Zeyu Liu, Souvik Kundu, Anni Li, Junrui Wan, Lianghao Jiang, etc </font>

![](https://img.shields.io/badge/Citations-0-green)

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[**Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt**](https://arxiv.org/abs/2403.09857) （**2024.03.14**）

<font color="gray">Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-2-red)

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[**Unveiling the Generalization Power of Fine-Tuned Large Language Models**](https://arxiv.org/abs/2403.09162) （**2024.03.14**）

<font color="gray">Haoran Yang, Yumeng Zhang, Jiaqi Xu, Hongyuan Lu, P. Heng, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-10-red)  [![](https://img.shields.io/badge/Github%20Stars-10-blue)](https://github.com/lhryang/generalization_of_ft-llm)

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[**Attention Prompt Tuning: Parameter-efficient Adaptation of Pre-trained Models for Spatiotemporal Modeling**](https://arxiv.org/abs/2403.06978) （**2024.03.11**）

<font color="gray">W. G. C. Bandara, Vishal M. Patel </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-2-red)  [![](https://img.shields.io/badge/Github%20Stars-11-blue)](https://github.com/wgcban/apt)

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[**VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models**](https://arxiv.org/abs/2403.06098) （**2024.03.10**）

<font color="gray">Wenhao Wang, Yi Yang </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-7-red)  [![](https://img.shields.io/badge/Github%20Stars-83-blue)](https://github.com/wangwenhao0716/vidprom)

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[**Localized Zeroth-Order Prompt Optimization**](https://arxiv.org/abs/2403.02993) （**2024.03.05**）

<font color="gray">Wenyang Hu, Yao Shu, Zongmin Yu, Zhaoxuan Wu, Xiangqiang Lin, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-4-red)

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[**RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models**](https://arxiv.org/abs/2403.02271) （**2024.03.04**）

<font color="gray">Saeed Najafi, Alona Fyshe </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-4-red)

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[**Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization**](https://arxiv.org/abs/2402.18447) （**2024.02.28**）

<font color="gray">Deng Li, Aming Wu, Yaowei Wang, Yahong Han </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-5-red)

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[**Meta-Task Prompting Elicits Embedding from Large Language Models**](https://arxiv.org/abs/2402.18458) （**2024.02.28**）

<font color="gray">Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-3-red)

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[**GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning**](https://doi.org/10.48550/arXiv.2402.16829) （**2024.02.26**）

<font color="gray">Aivin V. Solatorio .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-1-green)  [![](https://img.shields.io/badge/Github%20Stars-27-blue)](https://github.com/avsolatorio/gistembed)

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[**OncoGPT: A Medical Conversational Model Tailored with Oncology Domain Expertise on a Large Language Model Meta-AI (LLaMA)**](https://doi.org/10.48550/arXiv.2402.16810) （**2024.02.26**）

<font color="gray">Fujian Jia, Xin Liu, Lixi Deng, Jiwen Gu, Chunchao Pu, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)

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[**Stepwise Self-Consistent Mathematical Reasoning with Large Language Models**](https://doi.org/10.48550/arXiv.2402.17786) （**2024.02.24**）

<font color="gray">Zilong Zhao, Yao Rong, Dongyang Guo, Emek Gözlüklü, Emir Gülboy, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)  [![](https://img.shields.io/badge/Github%20Stars-8-blue)](https://github.com/zhao-zilong/ssc-cot)

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[**Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning**](https://doi.org/10.48550/arXiv.2402.14883) （**2024.02.22**）

<font color="gray">Shen Li, Liuyi Yao, Jinyang Gao, Lan Zhang, Yaliang Li .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)

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[**Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs**](https://doi.org/10.48550/arXiv.2402.14872) （**2024.02.21**）

<font color="gray">Xiaoxia Li, Siyuan Liang, Jiyi Zhang, Hansheng Fang, Aishan Liu, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)

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[**ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding**](https://doi.org/10.48550/arXiv.2402.11889) （**2024.02.19**）

<font color="gray">Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-3-green)

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[**LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models**](https://doi.org/10.48550/arXiv.2402.11417) （**2024.02.18**）

<font color="gray">Yifan Yang, Jiajun Zhou, Ngai Wong, Zheng Zhang .  - 【North American Chapter of the Association for Computational Linguistics】</font>

![](https://img.shields.io/badge/Citations-0-green)  [![](https://img.shields.io/badge/Github%20Stars-16-blue)](https://github.com/yifanycc/loretta)

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[**MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning**](https://doi.org/10.48550/arXiv.2402.11260) （**2024.02.17**）

<font color="gray">Shu Yang, Muhammad Asif Ali, Cheng-Long Wang, Lijie Hu, Di Wang .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-13-green)

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[**PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs**](https://doi.org/10.48550/arXiv.2402.07872) （**2024.02.12**）

<font color="gray">Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-1-green)

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[**X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Design**](https://doi.org/10.48550/arXiv.2402.07148) （**2024.02.11**）

<font color="gray">E. Buehler, M. J. Buehler .  - 【APL Machine Learning】</font>

![](https://img.shields.io/badge/Citations-0-green)

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[**Self-Discover: Large Language Models Self-Compose Reasoning Structures**](https://doi.org/10.48550/arXiv.2402.03620) （**2024.02.06**）

<font color="gray">Pei Zhou, J. Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-5-green)  [![](https://img.shields.io/badge/Github%20Stars-244-blue)](https://github.com/catid/self-discover)

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[**Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding**](https://doi.org/10.48550/arXiv.2401.12954) （**2024.01.23**）

<font color="gray">Mirac Suzgun, A. Kalai .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-8-green)  [![](https://img.shields.io/badge/Github%20Stars-257-blue)](https://github.com/suzgunmirac/meta-prompting)

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[**Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding**](https://doi.org/10.48550/arXiv.2401.04398) （**2024.01.09**）

<font color="gray">Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-3-green)

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[**Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves**](https://doi.org/10.48550/arXiv.2311.04205) （**2023.11.07**）

<font color="gray">Yihe Deng, Weitong Zhang, Zixiang Chen, Quanquan Gu .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-19-green)  [![](https://img.shields.io/badge/Github%20Stars-87-blue)](https://github.com/uclaml/Rephrase-and-Respond)

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[**Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models**](https://doi.org/10.48550/arXiv.2310.06117) （**2023.10.09**）

<font color="gray">Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, E. Chi, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-9-green)

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[**Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading**](https://doi.org/10.48550/arXiv.2310.05029) （**2023.10.08**）

<font color="gray">Howard Chen, Ramakanth Pasunuru, Jason Weston, Asli Celikyilmaz .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)

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[**Chain-of-Verification Reduces Hallucination in Large Language Models**](https://doi.org/10.48550/arXiv.2309.11495) （**2023.09.20**）

<font color="gray">S. Dhuliawala, M. Komeili, Jing Xu, Roberta Raileanu, Xian Li, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-3-green)  [![](https://img.shields.io/badge/Github%20Stars-898-blue)](https://github.com/lastmile-ai/aiconfig/tree/main/cookbooks/Chain-of-Verification)

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[**PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training**](https://doi.org/10.48550/arXiv.2309.10400) （**2023.09.19**）

<font color="gray">Dawei Zhu, Nan Yang, Liang Wang, Yifan Song, Wenhao Wu, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-1-green)  [![](https://img.shields.io/badge/Github%20Stars-54-blue)](https://github.com/dwzhu-pku/pose)

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[**Giraffe: Adventures in Expanding Context Lengths in LLMs**](https://doi.org/10.48550/arXiv.2308.10882) （**2023.08.21**）

<font color="gray">Arka Pal, Deep Karkhanis, Manley Roberts, S. Dooley, Arvind Sundararajan, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)  [![](https://img.shields.io/badge/Github%20Stars-567-blue)](https://github.com/abacusai/long-context)

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[**Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering**](https://doi.org/10.48550/arXiv.2308.07411) （**2023.08.14**）

<font color="gray">Edward Junprung .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)

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[**Cumulative Reasoning with Large Language Models**](https://doi.org/10.48550/arXiv.2308.04371) （**2023.08.08**）

<font color="gray">Yifan Zhang, Jingqin Yang, Yang Yuan, A. Yao .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-3-green)  [![](https://img.shields.io/badge/Github%20Stars-265-blue)](https://github.com/iiis-ai/cumulative-reasoning)

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[**Scaling Relationship on Learning Mathematical Reasoning with Large Language Models**](https://doi.org/10.48550/arXiv.2308.01825) （**2023.08.03**）

<font color="gray">Zheng Yuan, Hongyi Yuan, Cheng Li, Guanting Dong, Chuanqi Tan, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-11-green)  [![](https://img.shields.io/badge/Github%20Stars-187-blue)](https://github.com/ofa-sys/gsm8k-screl)

---

[**AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?**](https://doi.org/10.48550/arXiv.2307.16368) （**2023.07.31**）

<font color="gray">Qipeng Zhao, Ce Zhang, Shijie Wang, Changcheng Fu, Nakul Agarwal, etc .  - 【arXiv.org】</font>

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[**Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding**](https://doi.org/10.48550/arXiv.2307.15337) （**2023.07.28**）

<font color="gray">Xuefei Ning, Zinan Lin, Zixuan Zhou, Huazhong Yang, Yu Wang .  - 【arXiv.org】</font>

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---

[**ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning**](https://doi.org/10.48550/arXiv.2307.09474) （**2023.07.18**）

<font color="gray">Liang Zhao, En Yu, Zheng Ge, Jinrong Yang, Hao-Ran Wei, etc .  - 【arXiv.org】</font>

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---

[**Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration**](https://arxiv.org/abs/2307.05300) （**2023.07.11**）

<font color="gray">Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, Tao Ge, Furu Wei, etc </font>

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---

[**Self-consistency for open-ended generations**](https://arxiv.org/abs/2307.06857) （**2023.07.11**）



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---

[**Brain in a Vat: On Missing Pieces Towards Artificial General Intelligence in Large Language Models**](https://doi.org/10.48550/arXiv.2307.03762) （**2023.07.07**）

<font color="gray">Yuxi Ma, Chi Zhang, Song-Chun Zhu .  - 【arXiv.org】</font>

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---

[**Conformer LLMs - Convolution Augmented Large Language Models**](https://doi.org/10.48550/arXiv.2307.00461) （**2023.07.02**）

<font color="gray">Prateek Verma .  - 【arXiv.org】</font>

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---

[**Learning Multi-Step Reasoning by Solving Arithmetic Tasks**](https://doi.org/10.48550/arXiv.2306.01707) （**2023.06.02**）

<font color="gray">Tianduo Wang, Wei Lu .  - 【arXiv.org】</font>

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---

[**AutoPlan: Automatic Planning of Interactive Decision-Making Tasks With Large Language Models**](https://doi.org/10.18653/v1/2023.findings-emnlp.205) （**2023.05.24**）

<font color="gray">Siqi Ouyang, Lei Li .  - 【Conference on Empirical Methods in Natural Language Processing】</font>

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---

[**OverPrompt: Enhancing ChatGPT Capabilities through an Efficient In-Context Learning Approach**](https://arxiv.org/abs/2305.14973) （**2023.05.24**）

<font color="gray">Jiazheng Li, Runcong Zhao, Yulan He, Lin Gui </font>

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---

[**In-Context Impersonation Reveals Large Language Models' Strengths and Biases**](https://arxiv.org/abs/2305.14930) （**2023.05.24**）

<font color="gray">Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata </font>

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---

[**Frugal Prompting for Dialog Models**](https://arxiv.org/abs/2305.14919) （**2023.05.24**）

<font color="gray">Bishal Santra, Sakya Basak, Abhinandan De, Manish Gupta, Pawan Goyal </font>

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---

[**Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering**](https://arxiv.org/abs/2305.14901) （**2023.05.24**）

<font color="gray">Wang Zhu, Jesse Thomason, Robin Jia </font>

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---

[**Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis**](https://arxiv.org/abs/2305.14877) （**2023.05.24**）

<font color="gray">Sohee Yang, Jonghyeon Kim, Joel Jang, Seonghyeon Ye, Hyunji Lee, etc </font>

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---

[**MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions**](https://arxiv.org/abs/2305.14795) （**2023.05.24**）

<font color="gray">Zexuan Zhong, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, Danqi Chen </font>

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---

[**BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver**](https://arxiv.org/abs/2305.14766) （**2023.05.24**）

<font color="gray">Hao Sun, Xiao Liu, Yeyun Gong, Yan Zhang, Nan Duan </font>

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---

[**TACR: A Table-alignment-based Cell-selection and Reasoning Model for Hybrid Question-Answering**](https://arxiv.org/abs/2305.14682) （**2023.05.24**）

<font color="gray">Jian Wu, Yicheng Xu, Yan Gao, Jian-Guang Lou, Börje F. Karlsson, etc </font>

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---

[**Mixture of Prompt Experts for Generalizable and Interpretable Question Answering**](https://arxiv.org/abs/2305.14628) （**2023.05.24**）

<font color="gray">Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber </font>

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---

[**Better Zero-Shot Reasoning with Self-Adaptive Prompting**](https://arxiv.org/abs/2305.14106) （**2023.05.23**）

<font color="gray">Xingchen Wan, Ruoxi Sun, Hanjun Dai, Sercan O. Arik, Tomas Pfister </font>

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---

[**Improving Language Models via Plug-and-Play Retrieval Feedback**](https://arxiv.org/abs/2305.14002) （**2023.05.23**）

<font color="gray">Wenhao Yu, Zhihan Zhang, Zhenwen Liang, Meng Jiang, Ashish Sabharwal </font>

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---

[**Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources**](https://arxiv.org/abs/2305.13269) （**2023.05.22**）

<font color="gray">Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Shafiq R. Joty, etc </font>

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---

[**Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning**](https://arxiv.org/abs/2305.12295) （**2023.05.20**）

<font color="gray">Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang </font>

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---

[**SelfzCoT: a Self-Prompt Zero-shot CoT from Semantic-level to Code-level for a Better Utilization of LLMs**](https://doi.org/10.48550/arXiv.2305.11461) （**2023.05.19**）

<font color="gray">IokTong Lei, ZhiDong Deng .  - 【arXiv.org】</font>

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---

[**Writing your own book: A method for going from closed to open book QA to improve robustness and performance of smaller LLMs**](https://doi.org/10.48550/arXiv.2305.11334) （**2023.05.18**）

<font color="gray">Giorgi Kokaia, Pratyush Sinha, Yutong Jiang, N. Boujemaa .  - 【arXiv.org】</font>

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---

[**Efficient Prompting via Dynamic In-Context Learning**](https://doi.org/10.48550/arXiv.2305.11170) （**2023.05.18**）

<font color="gray">Wangchunshu Zhou, Yuchen Jiang, Ryan Cotterell, Mrinmaya Sachan .  - 【arXiv.org】</font>

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---

[**SPSQL: Step-by-step Parsing Based Framework for Text-to-SQL Generation**](https://doi.org/10.48550/arXiv.2305.11061) （**2023.05.10**）

<font color="gray">Ran Shen, Gang Sun, Hao Shen, Yiling Li, Liangfeng Jin, etc .  - 【arXiv.org】</font>

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---

[**Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes**](https://doi.org/10.48550/arXiv.2305.02301) （**2023.05.03**）

<font color="gray">Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, etc .  - 【Annual Meeting of the Association for Computational Linguistics】</font>

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---

[**WizardLM: Empowering Large Language Models to Follow Complex Instructions**](https://arxiv.org/abs/2304.12244) （**2023.04.24**）

<font color="gray">Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, etc </font>

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---

[**LLM+P: Empowering Large Language Models with Optimal Planning Proficiency**](https://arxiv.org/abs/2304.11477) （**2023.04.22**）

<font color="gray">B. Liu, Yuqian Jiang, Xiaohan Zhang, Qian Liu, Shiqi Zhang, etc </font>

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---

[**Boosting Theory-of-Mind Performance in Large Language Models via Prompting**](https://doi.org/10.48550/arXiv.2304.11490) （**2023.04.22**）

<font color="gray">Shima Rahimi Moghaddam, C. Honey .  - 【arXiv.org】</font>

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---

[**Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts**](https://doi.org/10.1145/3544548.3581388) （**2023.04.19**）

<font color="gray">J. Zamfirescu-Pereira, Richmond Y. Wong, Bjoern Hartmann, Qiang Yang .  - 【International Conference on Human Factors in Computing Systems】</font>

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---

[**Progressive-Hint Prompting Improves Reasoning in Large Language Models**](https://arxiv.org/abs/2304.09797) （**2023.04.19**）

<font color="gray">Chuanyang Zheng, Zhengying Liu, Enze Xie, Zhenguo Li, Yu Li </font>

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---

[**Boosted Prompt Ensembles for Large Language Models**](https://doi.org/10.48550/arXiv.2304.05970) （**2023.04.12**）

<font color="gray">Silviu Pitis, Michael Ruogu Zhang, Andrew Wang, Jimmy Ba .  - 【arXiv.org】</font>

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---

[**Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition**](https://arxiv.org/abs/2304.04704) （**2023.04.10**）



![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-58-red)  [![](https://img.shields.io/badge/Github%20Stars-249-blue)](https://github.com/amazon-science/prompt-pretraining)

---

[**REFINER: Reasoning Feedback on Intermediate Representations**](https://arxiv.org/abs/2304.01904) （**2023.04.04**）

<font color="gray">Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, etc </font>

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---

[**Self-Refine: Iterative Refinement with Self-Feedback**](https://arxiv.org/abs/2303.17651) （**2023.03.30**）



![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-268-red)  [![](https://img.shields.io/badge/Github%20Stars-1.5k-blue)](https://github.com/jina-ai/thinkgpt)

---

[**Context-faithful Prompting for Large Language Models**](https://doi.org/10.48550/arXiv.2303.11315) （**2023.03.20**）

<font color="gray">Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen .  - 【arXiv.org】</font>

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---

[**Reflexion: an autonomous agent with dynamic memory and self-reflection**](https://doi.org/10.48550/arXiv.2303.11366) （**2023.03.20**）

<font color="gray">Noah Shinn, Beck Labash, Ashwin Gopinath .  - 【arXiv.org】</font>

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---

[**SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models**](https://doi.org/10.48550/arXiv.2303.10464) （**2023.03.18**）

<font color="gray">Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, etc .  - 【Conference on Uncertainty in Artificial Intelligence】</font>

![](https://img.shields.io/badge/Citations-3-green)

---

[**A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT**](https://doi.org/10.48550/arXiv.2302.11382) （**2023.02.21**）

<font color="gray">Jules White, Quchen Fu, Sam Hays, M. Sandborn, Carlos Olea, etc .  - 【ArXiv】</font>

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---

[**GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks**](https://doi.org/10.48550/arXiv.2302.08043) （**2023.02.16**）

<font color="gray">Zemin Liu, Xingtong Yu, Yuan Fang, Xinming Zhang .  - 【ArXiv】</font>

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---

[**Progressive Prompts: Continual Learning for Language Models**](https://doi.org/10.48550/arXiv.2301.12314) （**2023.01.29**）

<font color="gray">Anastasia Razdaibiedina, Yuning Mao, Rui Hou, Madian Khabsa, M. Lewis, etc .  - 【ArXiv】</font>

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---

[**Batch Prompting: Efficient Inference with Large Language Model APIs**](https://doi.org/10.48550/arXiv.2301.08721) （**2023.01.19**）

<font color="gray">Zhoujun Cheng, Jungo Kasai, Tao Yu .  - 【ArXiv】</font>

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---

[**Successive Prompting for Decomposing Complex Questions**](https://doi.org/10.48550/arXiv.2212.04092) （**2022.12.08**）

<font color="gray">Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner .  - 【Conference on Empirical Methods in Natural Language Processing】</font>

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---

[**Legal Prompt Engineering for Multilingual Legal Judgement Prediction**](https://doi.org/10.48550/arXiv.2212.02199) （**2022.12.05**）

<font color="gray">Dietrich Trautmann, Alina Petrova, Frank Schilder .  - 【ArXiv】</font>

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---

[**Investigating Prompt Engineering in Diffusion Models**](https://doi.org/10.48550/arXiv.2211.15462) （**2022.11.21**）

<font color="gray">Sam Witteveen, Martin Andrews .  - 【ArXiv】</font>

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---

[**PAL: Program-aided Language Models**](https://doi.org/10.48550/arXiv.2211.10435) （**2022.11.18**）

<font color="gray">Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, etc .  - 【ArXiv】</font>

![](https://img.shields.io/badge/Citations-25-green)  [![](https://img.shields.io/badge/Github%20Stars-1.2k-blue)](https://github.com/srush/minichain)

---

[**Measuring and Narrowing the Compositionality Gap in Language Models**](https://doi.org/10.48550/arXiv.2210.03350) （**2022.10.07**）

<font color="gray">Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A. Smith, etc .  - 【ArXiv】</font>

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---

[**ReAct: Synergizing Reasoning and Acting in Language Models**](https://doi.org/10.48550/arXiv.2210.03629) （**2022.10.06**）

<font color="gray">Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, I. Shafran, etc .  - 【arXiv.org】</font>

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---

[**Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models**](https://doi.org/10.1109/TVCG.2022.3209479) （**2022.08.16**）

<font color="gray">Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, J. Beyer, etc .  - 【IEEE Transactions on Visualization and Computer Graphics】</font>

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---

[**PromptChainer: Chaining Large Language Model Prompts through Visual Programming**](https://doi.org/10.1145/3491101.3519729) （**2022.03.13**）

<font color="gray">Tongshuang Sherry Wu, Ellen Jiang, Aaron Donsbach, J. Gray, A. Molina, etc .  - 【CHI Extended Abstracts】</font>

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---

[**Black-box Prompt Learning for Pre-trained Language Models**](https://arxiv.org/abs/2201.08531) （**2022.01.21**）

<font color="gray">Shizhe Diao, Xuechun Li, Yong Lin, Zhichao Huang, Xiao Zhou, etc .  - 【ArXiv】</font>

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[**Can Language Models be Biomedical Knowledge Bases?**](https://doi.org/10.18653/v1/2021.emnlp-main.388) （**2021.09.15**）

<font color="gray">Mujeen Sung, Jinhyuk Lee, Sean S. Yi, Minji Jeon, Sungdong Kim, etc .  - 【Conference on Empirical Methods in Natural Language Processing】</font>

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---

[**Design Guidelines for Prompt Engineering Text-to-Image Generative Models**](https://doi.org/10.1145/3491102.3501825) （**2021.09.14**）

<font color="gray">Vivian Liu, Lydia B. Chilton .  - 【International Conference on Human Factors in Computing Systems】</font>

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[**Do Prompt-Based Models Really Understand the Meaning of Their Prompts?**](https://doi.org/10.18653/v1/2022.naacl-main.167) （**2021.09.02**）

<font color="gray">Albert Webson, Ellie Pavlick .  - 【North American Chapter of the Association for Computational Linguistics】</font>

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---

[**SciFive: a text-to-text transformer model for biomedical literature**](https://arxiv.org/abs/2106.03598) （**2021.05.28**）

<font color="gray">Long Phan, J. Anibal, H. Tran, Shaurya Chanana, Erol Bahadroglu, etc .  - 【ArXiv】</font>

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[**Not All Memories are Created Equal: Learning to Forget by Expiring**](https://arxiv.org/abs/2105.06548) （**2021.05.13**）

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[**Long-Span Summarization via Local Attention and Content Selection**](https://doi.org/10.18653/v1/2021.acl-long.470) （**2021.05.08**）

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[**Factual Probing Is [MASK]: Learning vs. Learning to Recall**](https://doi.org/10.18653/V1/2021.NAACL-MAIN.398) （**2021.04.12**）

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[**BERTese: Learning to Speak to BERT**](https://doi.org/10.18653/v1/2021.eacl-main.316) （**2021.03.09**）

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[**PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains**](https://doi.org/10.1162/tacl_a_00468) （**2021.02.24**）

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[**PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains**](https://doi.org/10.1162/tacl_a_00468) （**2021.02.24**）

<font color="gray">Eyal Ben-David, Nadav Oved, Roi Reichart .  - 【International Conference on Topology, Algebra and Categories in Logic】</font>

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[**Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm**](https://doi.org/10.1145/3411763.3451760) （**2021.02.15**）

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[**Self-Alignment Pretraining for Biomedical Entity Representations**](https://doi.org/10.18653/V1/2021.NAACL-MAIN.334) （**2020.10.22**）

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[**Bio-Megatron: Larger Biomedical Domain Language Model**](https://doi.org/10.18653/v1/2020.emnlp-main.379) （**2020.10.12**）

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[**Adapting In-Vehicle Voice Output:A User- and Situation-Adaptive Approach**](https://doi.org/10.1145/3409251.3411711) （**2020.09.21**）

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[**Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries**](https://doi.org/10.18653/v1/2021.eacl-main.153) （**2020.08.20**）

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[**Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing**](https://doi.org/10.1145/3458754) （**2020.07.31**）

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[**Big Bird: Transformers for Longer Sequences**](https://arxiv.org/abs/2007.14062) （**2020.07.28**）

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[**UnifiedQA: Crossing Format Boundaries With a Single QA System**](https://doi.org/10.18653/v1/2020.findings-emnlp.171) （**2020.05.02**）

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[**How Can We Know What Language Models Know?**](https://doi.org/10.1162/tacl_a_00324) （**2019.11.28**）

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[**SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization**](https://doi.org/10.18653/v1/D19-5409) （**2019.11.27**）

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[**Semantic Noise Matters for Neural Natural Language Generation**](https://doi.org/10.18653/v1/W19-8652) （**2019.11.01**）

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[**Fine-tune BERT with Sparse Self-Attention Mechanism**](https://doi.org/10.18653/v1/D19-1361) （**2019.11.01**）

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[**Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer**](https://arxiv.org/abs/1910.10683) （**2019.10.23**）

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[**TinyBERT: Distilling BERT for Natural Language Understanding**](https://doi.org/10.18653/v1/2020.findings-emnlp.372) （**2019.09.23**）

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[**Linguistic Design of In-Vehicle Prompts in Adaptive Dialog Systems: An Analysis of Potential Factors Involved in the Perception of Naturalness**](https://doi.org/10.1145/3320435.3320469) （**2019.06.07**）

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[**BioBERT: a pre-trained biomedical language representation model for biomedical text mining**](https://doi.org/10.1093/bioinformatics/btz682) （**2019.01.25**）

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[**Design guidelines for hands-free speech interaction**](https://doi.org/10.1145/3236112.3236149) （**2018.09.03**）

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[**Attention is All you Need**](https://arxiv.org/abs/1706.03762) （**2017.06.12**）

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[**Get To The Point: Summarization with Pointer-Generator Networks**](https://doi.org/10.18653/v1/P17-1099) （**2017.04.01**）

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[**Representing Text for Joint Embedding of Text and Knowledge Bases**](https://doi.org/10.18653/v1/D15-1174) 

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[**The Influence of Syntax on the Perception of In-Vehicle Prompts and Driving Performance**](https://doi.org/10.1007/978-981-15-8395-7_26) 

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[**Soziolinguistik**](https://doi.org/10.1007/978-3-476-05861-4) 

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[**Prefix-Tuning: Optimizing Continuous Prompts for Generation**](https://doi.org/10.18653/v1/2021.acl-long.353) 

<font color="gray">Xiang Lisa Li, Percy Liang .  - 【Annual Meeting of the Association for Computational Linguistics】</font>

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[**Prompt Combines Paraphrase: Enhancing Biomedical “Pre-training, Prompt and Predicting” Models by Explaining Rare Biomedical Concepts**](https://api.semanticscholar.org/4e305fe2ef347caddd8936bc0a8c462e33f6e2da) 

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[**Zur Abfolge nominaler Satzglieder im Deutschen**](https://api.semanticscholar.org/d93a04ab220196e6bbe3c8ff39b40ff6a8b7ca5a) 

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[**BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding**](https://doi.org/10.18653/v1/N19-1423) 

<font color="gray">Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova .  - 【North American Chapter of the Association for Computational Linguistics】</font>

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[**of the Association for Computational Linguistics:**](https://doi.org/10.1016/b0-08-044854-2/05234-2) 

<font color="gray">Vladimir Meza Ruiz, Rashmi Gangadharaiah, Maria Leonor Pacheco, Danqi Chen, Ryan Cotterell </font>

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[**Prompt Engineering for Text-Based Generative Art**](https://doi.org/10.48550/arXiv.2204.13988) 

<font color="gray">J. Oppenlaender .  - 【ArXiv】</font>

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[**A Prompt-Based Topic-Modeling Method for Depression Detection on Low-Resource Data**](https://doi.org/10.1109/tcss.2023.3260080) 

<font color="gray">Yanrong Guo, Jilong Liu, Lei Wang, Wei Qin, Shijie Hao, etc .  - 【IEEE Transactions on Computational Social Systems】</font>

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[**L4Q: Parameter Efficient Quantization-Aware Training on Large Language Models via LoRA-wise LSQ**](https://doi.org/10.48550/arXiv.2402.04902) 

<font color="gray">Hyesung Jeon, Yulhwa Kim, Jae-Joon Kim .  - 【arXiv.org】</font>

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