# 📄 Agent

## Paper List

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


[**Cooperative Multi-Agent Deep Reinforcement Learning Methods for UAV-aided Mobile Edge Computing Networks**](https://arxiv.org/abs/2407.03280) （**2024.07.03**）

<font color="gray">Mintae Kim, Hoon Lee, Sangwon Hwang, M. Debbah, Inkyu Lee </font>

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

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[**Symbolic Learning Enables Self-Evolving Agents**](https://arxiv.org/abs/2406.18532) （**2024.06.26**）

<font color="gray">Wangchunshu Zhou, Yixin Ou, Shengwei Ding, Long Li, Jialong Wu, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-8-red)  [![](https://img.shields.io/badge/Github%20Stars-4.8k-blue)](https://github.com/aiwaves-cn/agents)

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[**Adversarial Attacks on Multimodal Agents**](https://arxiv.org/abs/2406.12814) （**2024.06.18**）

<font color="gray">Chen Henry Wu, Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried, Aditi Raghunathan </font>

![](https://img.shields.io/badge/Citations-1-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-1-red)  [![](https://img.shields.io/badge/Github%20Stars-24-blue)](https://github.com/chenwu98/agent-attack)

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[**DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning**](https://arxiv.org/abs/2406.11896) （**2024.06.14**）

<font color="gray">Hao Bai, Yifei Zhou, Mert Cemri, Jiayi Pan, Alane Suhr, etc </font>

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

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[**Transforming Wearable Data into Health Insights using Large Language Model Agents**](https://arxiv.org/abs/2406.06464) （**2024.06.10**）

<font color="gray">Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei, Geza Kovacs, Javier Perez, etc </font>

![](https://img.shields.io/badge/Citations-1-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-2-red)

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[**Neuromorphic dreaming: A pathway to efficient learning in artificial agents**](https://doi.org/10.48550/arXiv.2405.15616) （**2024.05.24**）

<font color="gray">Ingo Blakowski, D. Zendrikov, Cristiano Capone, Giacomo Indiveri .  - 【arXiv.org】</font>

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

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[**Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning**](https://doi.org/10.48550/arXiv.2405.10292) （**2024.05.16**）

<font color="gray">Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, etc .  - 【arXiv.org】</font>

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

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[**Learning Multi-Agent Communication from Graph Modeling Perspective**](https://doi.org/10.48550/arXiv.2405.08550) （**2024.05.14**）

<font color="gray">Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-3-green)  [![](https://img.shields.io/badge/Github%20Stars-7-blue)](https://github.com/charleshsc/CommFormer)

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[**Smurfs: Leveraging Multiple Proficiency Agents with Context-Efficiency for Tool Planning**](https://doi.org/10.48550/arXiv.2405.05955) （**2024.05.09**）

<font color="gray">Junzhi Chen, Juhao Liang, Benyou Wang .  - 【arXiv.org】</font>

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

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[**Unveiling Disparities in Web Task Handling Between Human and Web Agent**](https://doi.org/10.48550/arXiv.2405.04497) （**2024.05.07**）

<font color="gray">Kihoon Son, Jinhyeon Kwon, DeEun Choi, Tae Soo Kim, Young-Ho Kim, etc .  - 【arXiv.org】</font>

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

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[**Learning to Beat ByteRL: Exploitability of Collectible Card Game Agents**](https://doi.org/10.48550/arXiv.2404.16689) （**2024.04.25**）

<font color="gray">Radovan Haluška, Martin Schmid .  - 【arXiv.org】</font>

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

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[**Cooperate or Collapse: Emergence of Sustainability Behaviors in a Society of LLM Agents**](https://doi.org/10.48550/arXiv.2404.16698) （**2024.04.25**）

<font color="gray">Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Schölkopf, Mrinmaya Sachan, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-3-green)  [![](https://img.shields.io/badge/Github%20Stars-5-blue)](https://github.com/giorgiopiatti/govsim)

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[**A Survey on the Memory Mechanism of Large Language Model based Agents**](https://doi.org/10.48550/arXiv.2404.13501) （**2024.04.21**）

<font color="gray">Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-4-green)  [![](https://img.shields.io/badge/Github%20Stars-79-blue)](https://github.com/nuster1128/llm_agent_memory_survey)

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[**Private Agent-Based Modeling**](https://doi.org/10.5555/3635637.3662887) （**2024.04.19**）

<font color="gray">Ayush Chopra, A. Quera-Bofarull, Nurullah Giray Kuru, Michael Wooldridge, Ramesh Raskar .  - 【Adaptive Agents and Multi-Agent Systems】</font>

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

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[**Memory Sharing for Large Language Model based Agents**](https://doi.org/10.48550/arXiv.2404.09982) （**2024.04.15**）

<font color="gray">Hang Gao, Yongfeng Zhang .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-1-green)  [![](https://img.shields.io/badge/Github%20Stars-12-blue)](https://github.com/ghupppp/memorysharingllm)

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[**MMInA: Benchmarking Multihop Multimodal Internet Agents**](https://doi.org/10.48550/arXiv.2404.09992) （**2024.04.15**）

<font color="gray">Ziniu Zhang, Shulin Tian, Liangyu Chen, Ziwei Liu .  - 【arXiv.org】</font>

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

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[**ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models**](https://arxiv.org/abs/2404.07738) （**2024.04.11**）

<font color="gray">Jinheon Baek, S. Jauhar, Silviu Cucerzan, Sung Ju Hwang </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-22-red)

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[**OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments**](https://arxiv.org/abs/2404.07972) （**2024.04.11**）

<font color="gray">Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-13-red)

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[**Navigating WebAI: Training Agents to Complete Web Tasks with Large Language Models and Reinforcement Learning**](https://doi.org/10.1145/3605098.3635903) （**2024.04.08**）

<font color="gray">Lucas-Andrei Thil, Mirela Popa, Gerasimos Spanakis .  - 【ACM Symposium on Applied Computing】</font>

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

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[**Laser Learning Environment: A new environment for coordination-critical multi-agent tasks**](https://arxiv.org/abs/2404.03596) （**2024.04.04**）

<font color="gray">Yannick Molinghen, Raphael Avalos, Mark Van Achter, A. Nowé, Tom Lenaerts </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-1-red)  [![](https://img.shields.io/badge/Github%20Stars-7-blue)](https://github.com/yamoling/lle)

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[**AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent**](https://arxiv.org/abs/2404.03648) （**2024.04.04**）

<font color="gray">Hanyu Lai, Xiao Liu, Iat Long Iong, Shuntian Yao, Yuxuan Chen, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-14-red)  [![](https://img.shields.io/badge/Github%20Stars-522-blue)](https://github.com/thudm/autowebglm)

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[**MIMIR: A Streamlined Platform for Personalized Agent Tuning in Domain Expertise**](https://arxiv.org/abs/2404.04285) （**2024.04.03**）

<font color="gray">Chunyuan Deng, Xiangru Tang, Yilun Zhao, Hanming Wang, Haoran Wang, etc </font>

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

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[**A Survey on Large Language Model-Based Game Agents**](https://doi.org/10.48550/arXiv.2404.02039) （**2024.04.02**）

<font color="gray">Sihao Hu, Tiansheng Huang, Fatih Ilhan, S. Tekin, Gaowen Liu, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-3-green)  [![](https://img.shields.io/badge/Github%20Stars-140-blue)](https://github.com/git-disl/awesome-llm-game-agent-papers)

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[**ELITR-Bench: A Meeting Assistant Benchmark for Long-Context Language Models**](https://doi.org/10.48550/arXiv.2403.20262) （**2024.03.29**）

<font color="gray">Thibaut Thonet, Jos Rozen, Laurent Besacier .  - 【arXiv.org】</font>

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

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[**Change-Agent: Towards Interactive Comprehensive Remote Sensing Change Interpretation and Analysis**](https://doi.org/10.48550/arXiv.2403.19646) （**2024.03.28**）

<font color="gray">Chenyang Liu, Keyan Chen, Haotian Zhang, Zipeng Qi, Zhengxia Zou, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-0-green)  [![](https://img.shields.io/badge/Github%20Stars-59-blue)](https://github.com/chen-yang-liu/change-agent)

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[**Bayesian Methods for Trust in Collaborative Multi-Agent Autonomy**](https://arxiv.org/abs/2403.16956) （**2024.03.25**）

<font color="gray">R. S. Hallyburton, Miroslav Pajic </font>

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

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[**AIOS: LLM Agent Operating System**](https://arxiv.org/abs/2403.16971) （**2024.03.25**）

<font color="gray">Kai Mei, Zelong Li, Shuyuan Xu, Ruosong Ye, Yingqiang Ge, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-43-red)  [![](https://img.shields.io/badge/Github%20Stars-2.9k-blue)](https://github.com/agiresearch/aios)

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[**EduAgent: Generative Student Agents in Learning**](https://arxiv.org/abs/2404.07963) （**2024.03.23**）

<font color="gray">Songlin Xu, Xinyu Zhang, Lianhui Qin </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-5-blue)](https://github.com/eduagent/eduagent)

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[**Content Knowledge Identification with Multi-Agent Large Language Models (LLMs)**](https://arxiv.org/abs/2404.07960) （**2024.03.22**）

<font color="gray">Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, etc </font>

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

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[**ReAct Meets ActRe: Autonomous Annotation of Agent Trajectories for Contrastive Self-Training**](https://arxiv.org/abs/2403.14589) （**2024.03.21**）

<font color="gray">Zonghan Yang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, etc </font>

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

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[**VideoAgent: Long-form Video Understanding with Large Language Model as Agent**](https://arxiv.org/abs/2403.10517) （**2024.03.15**）

<font color="gray">Xiaohan Wang, Yuhui Zhang, Orr Zohar, Serena Yeung-Levy </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-19-red)  [![](https://img.shields.io/badge/Github%20Stars-46-blue)](https://github.com/Ziyang412/VideoTree)

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[**SOTOPIA-$\pi$: Interactive Learning of Socially Intelligent Language Agents**](https://arxiv.org/abs/2403.08715) （**2024.03.13**）

<font color="gray">Ruiyi Wang, Haofei Yu, W. Zhang, Zhengyang Qi, Maarten Sap, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-12-red)

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[**DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning**](https://arxiv.org/abs/2403.06397) （**2024.03.11**）

<font color="gray">Xuefeng Wang, Henglin Pu, Hyung Jun Kim, Husheng Li </font>

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

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[**OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following**](https://arxiv.org/abs/2403.03017) （**2024.03.05**）

<font color="gray">Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Cot'e, Bang Liu </font>

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

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[**Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study**](https://arxiv.org/abs/2403.03186) （**2024.03.05**）

<font color="gray">Weihao Tan, Ziluo Ding, Wentao Zhang, Boyu Li, Bohan Zhou, etc </font>

![](https://img.shields.io/badge/Citations-2-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-17-red)

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[**Learning to Use Tools via Cooperative and Interactive Agents**](https://arxiv.org/abs/2403.03031) （**2024.03.05**）

<font color="gray">Zhengliang Shi, Shen Gao, Xiuyi Chen, Lingyong Yan, Haibo Shi, 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-8-blue)](https://github.com/shizhl/coagents)

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[**KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents**](https://arxiv.org/abs/2403.03101) （**2024.03.05**）

<font color="gray">Yuqi Zhu, Shuofei Qiao, Yixin Ou, Shumin Deng, Ningyu Zhang, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-27-red)  [![](https://img.shields.io/badge/Github%20Stars-145-blue)](https://github.com/zjunlp/knowagent)

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[**ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL**](https://arxiv.org/abs/2402.19446) （**2024.02.29**）

<font color="gray">Yifei Zhou, Andrea Zanette, Jiayi Pan, Sergey Levine, Aviral Kumar </font>

![](https://img.shields.io/badge/Citations-1-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-14-red)  [![](https://img.shields.io/badge/Github%20Stars-70-blue)](https://github.com/yifeizhou02/archer)

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[**Evaluating Very Long-Term Conversational Memory of LLM Agents**](https://doi.org/10.48550/arXiv.2402.17753) （**2024.02.27**）

<font color="gray">A. Maharana, Dong-Ho Lee, S. Tulyakov, Mohit Bansal, Francesco Barbieri, etc .  - 【arXiv.org】</font>

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

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[**Language Agents as Optimizable Graphs**](https://doi.org/10.48550/arXiv.2402.16823) （**2024.02.26**）

<font color="gray">Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-1-green)  [![](https://img.shields.io/badge/Github%20Stars-427-blue)](https://github.com/metauto-ai/gptswarm)

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[**AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning**](https://arxiv.org/abs/2402.15506) （**2024.02.23**）

<font color="gray">Jianguo Zhang, Tian Lan, Rithesh Murthy, Zhiwei Liu, Weiran Yao, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-17-red)  [![](https://img.shields.io/badge/Github%20Stars-54-blue)](https://github.com/SalesforceAIResearch/xLAM/tree/main/xLAM)

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[**Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-Agent Reinforcement Learning**](https://doi.org/10.48550/arXiv.2402.00787) （**2024.02.01**）

<font color="gray">Benjamin Patrick Evans, Sumitra Ganesh .  - 【arXiv.org】</font>

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

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[**VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks**](https://doi.org/10.48550/arXiv.2401.13649) （**2024.01.24**）

<font color="gray">Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, etc .  - 【arXiv.org】</font>

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

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[**Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game**](https://doi.org/10.48550/arXiv.2312.17515) （**2023.12.29**）

<font color="gray">Zijing Shi, Meng Fang, Shunfeng Zheng, Shilong Deng, Ling Chen, etc .  - 【arXiv.org】</font>

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

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[**GitAgent: Facilitating Autonomous Agent with GitHub by Tool Extension**](https://doi.org/10.48550/arXiv.2312.17294) （**2023.12.28**）

<font color="gray">Bohan Lyu, Xin Cong, Heyang Yu, Pan Yang, Yujia Qin, etc .  - 【arXiv.org】</font>

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

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[**The Use of Multiple Conversational Agent Interlocutors in Learning**](https://doi.org/10.48550/arXiv.2312.16534) （**2023.12.27**）

<font color="gray">Samuel Rhys Cox .  - 【arXiv.org】</font>

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

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[**AppAgent: Multimodal Agents as Smartphone Users**](https://arxiv.org/abs/2312.13771) （**2023.12.21**）

<font color="gray">C. Zhang, Zhao Yang, Jiaxuan Liu, Yucheng Han, Xin Chen, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-40-red)

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[**CogAgent: A Visual Language Model for GUI Agents**](https://doi.org/10.48550/arXiv.2312.08914) （**2023.12.14**）

<font color="gray">Wenyi Hong, Weihan Wang, Qingsong Lv, Jiazheng Xu, Wenmeng Yu, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-16-green)  [![](https://img.shields.io/badge/Github%20Stars-5.6k-blue)](https://github.com/thudm/cogvlm)

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[**KwaiAgents: Generalized Information-seeking Agent System with Large Language Models**](https://doi.org/10.48550/arXiv.2312.04889) （**2023.12.08**）

<font color="gray">Haojie Pan, Zepeng Zhai, Hao Yuan, Yaojia Lv, Ruiji Fu, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-2-green)  [![](https://img.shields.io/badge/Github%20Stars-1.0k-blue)](https://github.com/kwaikeg/kwaiagents)

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[**WonderJourney: Going from Anywhere to Everywhere**](https://arxiv.org/abs/2312.03884) （**2023.12.06**）

<font color="gray">Hong-Xing Yu, Haoyi Duan, Junhwa Hur, Kyle Sargent, Michael Rubinstein, etc </font>

![](https://img.shields.io/badge/Citations-0-green)  ![](https://img.shields.io/badge/Mendeley%20Readers-31-red)

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[**War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars**](https://doi.org/10.48550/arXiv.2311.17227) （**2023.11.28**）

<font color="gray">Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-12-green)  [![](https://img.shields.io/badge/Github%20Stars-167-blue)](https://github.com/agiresearch/waragent)

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[**Agent as Cerebrum, Controller as Cerebellum: Implementing an Embodied LMM-based Agent on Drones**](https://doi.org/10.48550/arXiv.2311.15033) （**2023.11.25**）

<font color="gray">Haoran Zhao, Fengxing Pan, Huqiuyue Ping, Yaoming Zhou .  - 【arXiv.org】</font>

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

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[**GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation**](https://doi.org/10.48550/arXiv.2311.07562) （**2023.11.13**）

<font color="gray">An Yan, Zhengyuan Yang, Wanrong Zhu, Kevin Lin, Linjie Li, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-3-green)  [![](https://img.shields.io/badge/Github%20Stars-116-blue)](https://github.com/zzxslp/mm-navigator)

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[**CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents**](https://doi.org/10.48550/arXiv.2310.17512) （**2023.10.26**）

<font color="gray">Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-6-green)

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[**AgentTuning: Enabling Generalized Agent Abilities for LLMs**](https://doi.org/10.48550/arXiv.2310.12823) （**2023.10.19**）

<font color="gray">Aohan Zeng, Mingdao Liu, Rui Lu, Bowen Wang, Xiao Liu, etc .  - 【arXiv.org】</font>

![](https://img.shields.io/badge/Citations-27-green)  [![](https://img.shields.io/badge/Github%20Stars-1.3k-blue)](https://github.com/thudm/agenttuning)

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[**CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization**](https://doi.org/10.48550/arXiv.2310.10134) （**2023.10.16**）

<font color="gray">Bodhisattwa Prasad Majumder, Bhavana Dalvi, Peter Alexander Jansen, Oyvind Tafjord, Niket Tandon, etc .  - 【arXiv.org】</font>

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

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[**Character-LLM: A Trainable Agent for Role-Playing**](https://doi.org/10.48550/arXiv.2310.10158) （**2023.10.16**）

<font color="gray">Yunfan Shao, Linyang Li, Junqi Dai, Xipeng Qiu .  - 【Conference on Empirical Methods in Natural Language Processing】</font>

![](https://img.shields.io/badge/Citations-21-green)  [![](https://img.shields.io/badge/Github%20Stars-382-blue)](https://github.com/choosewhatulike/trainable-agents)

---

[**Lemur: Harmonizing Natural Language and Code for Language Agents**](https://doi.org/10.48550/arXiv.2310.06830) （**2023.10.10**）

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---

[**FireAct: Toward Language Agent Fine-tuning**](https://doi.org/10.48550/arXiv.2310.05915) （**2023.10.09**）

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---

[**Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models**](https://doi.org/10.48550/arXiv.2310.04406) （**2023.10.06**）

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---

[**Agent Instructs Large Language Models to be General Zero-Shot Reasoners**](https://doi.org/10.48550/arXiv.2310.03710) （**2023.10.05**）

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---

[**Conversational Health Agents: A Personalized LLM-Powered Agent Framework**](https://doi.org/10.48550/arXiv.2310.02374) （**2023.10.03**）

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---

[**Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization**](https://doi.org/10.48550/arXiv.2310.02170) （**2023.10.03**）

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---

[**Adapting LLM Agents Through Communication**](https://doi.org/10.48550/arXiv.2310.01444) （**2023.10.01**）

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---

[**Multi-Agent Deep Reinforcement Learning for Joint Decoupled User Association and Trajectory Design in Full-Duplex Multi-UAV Networks**](https://doi.org/10.1109/TMC.2022.3188473) （**2023.10.01**）

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[**AutoAgents: A Framework for Automatic Agent Generation**](https://doi.org/10.48550/arXiv.2309.17288) （**2023.09.29**）

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[**ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving**](https://doi.org/10.48550/arXiv.2309.17452) （**2023.09.29**）

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---

[**MotionLM: Multi-Agent Motion Forecasting as Language Modeling**](https://doi.org/10.1109/ICCV51070.2023.00788) （**2023.09.28**）

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---

[**Agents: An Open-source Framework for Autonomous Language Agents**](https://doi.org/10.48550/arXiv.2309.07870) （**2023.09.14**）

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[**An Appraisal-Based Chain-Of-Emotion Architecture for Affective Language Model Game Agents**](https://doi.org/10.48550/arXiv.2309.05076) （**2023.09.10**）

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---

[**Cognitive Architectures for Language Agents**](https://doi.org/10.48550/arXiv.2309.02427) （**2023.09.05**）

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---

[**ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models**](https://doi.org/10.48550/arXiv.2309.00986) （**2023.09.02**）

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---

[**Mean-Field Multi-Agent Reinforcement Learning for Peer-to-Peer Multi-Energy Trading**](https://doi.org/10.1109/TPWRS.2022.3217922) （**2023.09.01**）

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---

[**Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations**](https://doi.org/10.48550/arXiv.2308.16505) （**2023.08.31**）

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[**RecMind: Large Language Model Powered Agent For Recommendation**](https://doi.org/10.48550/arXiv.2308.14296) （**2023.08.28**）

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---

[**ProAgent: Building Proactive Cooperative Agents with Large Language Models**](https://arxiv.org/abs/2308.11339) （**2023.08.22**）

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[**ChatEDA: A Large Language Model Powered Autonomous Agent for EDA**](https://doi.org/10.1109/MLCAD58807.2023.10299852) （**2023.08.20**）

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---

[**RAH! RecSys-Assistant-Human: A Human-Centered Recommendation Framework with LLM Agents**](https://arxiv.org/abs/2308.09904) （**2023.08.19**）

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[**AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation**](https://arxiv.org/abs/2308.08155) （**2023.08.16**）

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[**Double-Agent Reinforced vNFC Deployment in EONs for Cloud-Edge Computing**](https://doi.org/10.1109/JLT.2023.3261068) （**2023.08.15**）

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[**CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes**](https://doi.org/10.48550/arXiv.2308.06921) （**2023.08.14**）

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[**ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate**](https://doi.org/10.48550/arXiv.2308.07201) （**2023.08.14**）

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[**PentestGPT: An LLM-empowered Automatic Penetration Testing Tool**](https://doi.org/10.48550/arXiv.2308.06782) （**2023.08.13**）

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---

[**LLM As DBA**](https://arxiv.org/abs/2308.05481) （**2023.08.10**）

<font color="gray">Xuanhe Zhou, Guoliang Li, Zhiyuan Liu </font>

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---

[**Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization**](https://doi.org/10.48550/arXiv.2308.02151) （**2023.08.04**）

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---

[**MetaGPT: Meta Programming for Multi-Agent Collaborative Framework**](https://doi.org/10.48550/arXiv.2308.00352) （**2023.08.01**）

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---

[**ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs**](https://doi.org/10.48550/arXiv.2307.16789) （**2023.07.31**）

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---

[**Dialogue Shaping: Empowering Agents through NPC Interaction**](https://doi.org/10.48550/arXiv.2307.15833) （**2023.07.28**）

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---

[**S3: Social-network Simulation System with Large Language Model-Empowered Agents**](https://doi.org/10.48550/arXiv.2307.14984) （**2023.07.27**）

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[**Towards A Unified Agent with Foundation Models**](https://doi.org/10.48550/arXiv.2307.09668) （**2023.07.18**）

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---

[**Communicative Agents for Software Development**](https://doi.org/10.48550/arXiv.2307.07924) （**2023.07.16**）

<font color="gray">Chen Qian, Xin Cong, Cheng Yang, Weize Chen, Yusheng Su, etc .  - 【arXiv.org】</font>

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---

[**Math Agents: Computational Infrastructure, Mathematical Embedding, and Genomics**](https://doi.org/10.48550/arXiv.2307.02502) （**2023.07.04**）

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[**ChatLaw: Open-Source Legal Large Language Model with Integrated External Knowledge Bases**](https://doi.org/10.48550/arXiv.2306.16092) （**2023.06.28**）

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---

[**RestGPT: Connecting Large Language Models with Real-World RESTful APIs**](https://arxiv.org/abs/2306.06624) （**2023.06.11**）

<font color="gray">Yifan Song, Weimin Xiong, Dawei Zhu, Wenhao Wu, Han Qian, etc </font>

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---

[**Mind2Web: Towards a Generalist Agent for the Web**](https://doi.org/10.48550/arXiv.2306.06070) （**2023.06.09**）

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---

[**Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents**](https://doi.org/10.48550/arXiv.2306.03314) （**2023.06.05**）

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---

[**Mindstorms in Natural Language-Based Societies of Mind**](https://doi.org/10.48550/arXiv.2305.17066) （**2023.05.26**）

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---

[**Training Socially Aligned Language Models on Simulated Social Interactions**](https://arxiv.org/abs/2305.16960) （**2023.05.26**）

<font color="gray">Ruibo Liu, Ruixin Yang, Chenyan Jia, Ge Zhang, Denny Zhou, etc </font>

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[**Large Language Models as Tool Makers**](https://doi.org/10.48550/arXiv.2305.17126) （**2023.05.26**）

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[**Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory**](https://doi.org/10.48550/arXiv.2305.17144) （**2023.05.25**）

<font color="gray">Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, etc .  - 【arXiv.org】</font>

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---

[**Voyager: An Open-Ended Embodied Agent with Large Language Models**](https://doi.org/10.48550/arXiv.2305.16291) （**2023.05.25**）

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[**Introspective Tips: Large Language Model for In-Context Decision Making**](https://doi.org/10.48550/arXiv.2305.11598) （**2023.05.19**）

<font color="gray">Liting Chen, Lu Wang, Hang Dong, Yali Du, Jie Yan, etc .  - 【arXiv.org】</font>

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[**Enhancing Large Language Model with Self-Controlled Memory Framework**](https://arxiv.org/abs/2304.13343) （**2023.04.26**）

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[**LLM+P: Empowering Large Language Models with Optimal Planning Proficiency**](https://doi.org/10.48550/arXiv.2304.11477) （**2023.04.22**）

<font color="gray">B. Liu, Yuqian Jiang, Xiaohan Zhang, Qian Liu, Shiqi Zhang, etc .  - 【arXiv.org】</font>

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[**Self-collaboration Code Generation via ChatGPT**](https://doi.org/10.48550/arXiv.2304.07590) （**2023.04.15**）

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[**API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs**](https://doi.org/10.18653/v1/2023.emnlp-main.187) （**2023.04.14**）

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[**ChemCrow: Augmenting large-language models with chemistry tools**](https://arxiv.org/abs/2304.05376) （**2023.04.11**）

<font color="gray">Andrés M Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D. White, etc </font>

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[**OpenAGI: When LLM Meets Domain Experts**](https://doi.org/10.48550/arXiv.2304.04370) （**2023.04.10**）

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[**Generative Agents: Interactive Simulacra of Human Behavior**](https://doi.org/10.1145/3586183.3606763) （**2023.04.07**）

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[**Reflexion: Language Agents with Verbal Reinforcement Learning**](https://arxiv.org/abs/2303.11366) （**2023.03.20**）

<font color="gray">Noah Shinn, Federico Cassano, Beck Labash, A. Gopinath, Karthik Narasimhan, etc </font>

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[**ViperGPT: Visual Inference via Python Execution for Reasoning**](https://doi.org/10.1109/ICCV51070.2023.01092) （**2023.03.14**）

<font color="gray">D'idac Sur'is, Sachit Menon, Carl Vondrick .  - 【IEEE International Conference on Computer Vision】</font>

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[**Toolformer: Language Models Can Teach Themselves to Use Tools**](https://doi.org/10.48550/arXiv.2302.04761) （**2023.02.09**）

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[**Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents**](https://doi.org/10.48550/arXiv.2302.01560) （**2023.02.03**）

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[**Blind Judgement: Agent-Based Supreme Court Modelling With GPT**](https://doi.org/10.48550/arXiv.2301.05327) （**2023.01.12**）

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[**Memory Augmented Large Language Models are Computationally Universal**](https://doi.org/10.48550/arXiv.2301.04589) （**2023.01.10**）

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[**LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models**](https://doi.org/10.48550/arXiv.2212.04088) （**2022.12.08**）

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

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[**Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies**](https://arxiv.org/abs/2208.10264) （**2022.08.18**）

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[**Social Simulacra: Creating Populated Prototypes for Social Computing Systems**](https://doi.org/10.1145/3526113.3545616) （**2022.08.08**）

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[**Inner Monologue: Embodied Reasoning through Planning with Language Models**](https://doi.org/10.48550/arXiv.2207.05608) （**2022.07.12**）

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[**WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents**](https://doi.org/10.48550/arXiv.2207.01206) （**2022.07.04**）

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[**MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning**](https://doi.org/10.48550/arXiv.2205.00445) （**2022.05.01**）

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[**Do As I Can, Not As I Say: Grounding Language in Robotic Affordances**](https://arxiv.org/abs/2204.01691) （**2022.04.04**）

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[**Unifying Physical Interaction, Linguistic Communication, and Language Acquisition of Cognitive Agents by Minimalist Grammars**](https://doi.org/10.3389/fcomp.2022.733596) （**2022.01.27**）

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[**Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents**](https://arxiv.org/abs/2201.07207) （**2022.01.18**）

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[**A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level**](https://doi.org/10.1073/pnas.2123433119) （**2021.12.31**）

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[**WebGPT: Browser-assisted question-answering with human feedback**](https://arxiv.org/abs/2112.09332) （**2021.12.17**）

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[**Multi-Agent Optimization for Safety Analysis of Cyber-Physical Systems: Position Paper**](https://arxiv.org/abs/2403.16904) （**2015.04.15**）

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[**The Cognitive Hourglass: Agent Abstractions in the Large Models Era**](https://doi.org/10.5555/3635637.3663262) 

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[**AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents**](https://doi.org/10.48550/arXiv.2308.10848) 

<font color="gray">Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, etc .  - 【arXiv.org】</font>

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[**HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face**](https://doi.org/10.48550/arXiv.2303.17580) 

<font color="gray">Yongliang Shen, Kaitao Song, Xu Tan, D. Li, Weiming Lu, etc .  - 【arXiv.org】</font>

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# CONTINUE...