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Recent advancements in Large Language Models (LLMs) have shown significant progress in understanding complex natural language.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
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LoRA: Low-Rank Adaptation of Large Language Models
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Demonstrate-Search-Predict: Composing Retrieval and Language Models for Knowledge-Intensive NLP
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Large language models are zero-shot reasoners
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AutoLossGen: Automatic Loss Function Generation for Recommender Systems
Zelong Li, Jianchao Ji, Yingqiang Ge, and Yongfeng Zhang. 2022 · 2022
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Codegen: An open large language model for code with multi-turn program synthesis
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Synchromesh: Reliable code generation from pre-trained language models
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Self-consistency improves chain of thought reasoning in language models
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Chain-of-thought prompting elicits reasoning in large language models
Communicative Agents for Software Development
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A Survey on Large Language Model based Autonomous Agents
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AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
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The Rise and Potential of Large Language Model Based Agents: A Survey
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Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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React: Synergizing reasoning and acting in language models
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Emergent autonomous scientific research capabilities of large language models
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Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Wenhu Chen, Xueguang Ma, Xinyi Wang, and William W. Cohen. 2023 · 2023
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OpenAGI: When LLM Meets Domain Experts
Yingqiang Ge, Wenyue Hua, Kai Mei, Jianchao Ji, Juntao Tan, Shuyuan Xu, Zelong Li, and Yongfeng Zhang. 2023a · 2023
Cited alongside, same era.
LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem
Yingqiang Ge, Yujie Ren, Wenyue Hua, Shuyuan Xu, Juntao Tan, and Yongfeng Zhang. 2023b · 2023
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Reasoning with language model is planning with world model
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Gpt is becoming a turing machine: Here are some ways to program it
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ReAct: Synergizing Reasoning and Acting in Language Models. In International Conference on Learning Representations (ICLR)
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2023 · 2023
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Graph of thoughts: Solving elaborate problems with large language models. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 38. 17682–17690
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Low-code LLM: Graphical User Interface over Large Language Models
Yuzhe Cai, Shaoguang Mao, Wenshan Wu, Zehua Wang, Yaobo Liang, Tao Ge, Chenfei Wu, Wang You, Ting Song, Yan Xia, Jonathan Tien, Nan Duan, and Furu Wei. 2024 · 2024
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Albert Q Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, et al · 2024
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Large Language Model Agent for Fake News Detection
Xinyi Li, Yongfeng Zhang, and Edward C Malthouse. 2024b · 2024
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Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents
Zelong Li, Wenyue Hua, Hao Wang, He Zhu, and Yongfeng Zhang. 2024a · 2024
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AIOS: LLM Agent Operating System
Kai Mei, Zelong Li, Shuyuan Xu, Ruosong Ye, Yingqiang Ge, and Yongfeng Zhang. 2024 · 2024
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StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows
Yiran Wu, Tianwei Yue, Shaokun Zhang, Chi Wang, and Qingyun Wu. 2024 · 2024
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Travelplanner: A benchmark for real-world planning with language agents
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Shuyuan Xu, Zelong Li, Kai Mei, and Yongfeng Zhang. 2024 · 2024
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Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, and Karthik Narasimhan. 2024 · 2024
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EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction
Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Ren Kan, Dongsheng Li, and Deqing Yang. 2024 · 2024
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FlowMind: Automatic Workflow Generation with LLMs
Zhen Zeng, William Watson, Nicole Cho, Saba Rahimi, Shayleen Reynolds, Tucker Balch, and Manuela Veloso. 2024 · 2024
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Gnas: A greedy neural architecture search method for multi-attribute learning. In Proceedings of the 26th ACM international conference on Multimedia . 2049–2057
Siyu Huang, Xi Li, Zhi-Qi Cheng, Zhongfei Zhang, and Alexander Hauptmann. 2018 · 2057
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