Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let's Take TravelPlanner as an Example

Alfworld: Aligning text and embodied environments for interactive learning

Original

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Proximal policy optimization algorithms

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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

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How does in-context learning work? a framework for understanding the differences from traditional supervised learning

Sang Michael Xie and Sewon Min. 2022 · 2022

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Pangu-agent: A fine-tunable generalist agent with structured reasoning

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Filippos Christianos, Georgios Papoudakis, Matthieu Zimmer, Thomas Coste, Zhihao Wu, Jingxuan Chen, Khyati Khandelwal, James Doran, Xidong Feng, Jiacheng Liu, et al. 2023 · 2023

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Mind2web: Towards a generalist agent for the web

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Extending context window of large language models via semantic compression

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Weizhi Fei, Xueyan Niu, Pingyi Zhou, Lu Hou, Bo Bai, Lei Deng, and Wei Han. 2023 · 2023

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Llmtest needle in a haystack - pressure testing llms

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Lm-infinite: Simple on-the-fly length generalization for large language models

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Chi Han, Qifan Wang, Wenhan Xiong, Yu Chen, Heng Ji, and Sinong Wang. 2023 · 2023

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Teaching arithmetic to small transformers

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Nayoung Lee, Kartik Sreenivasan, Jason D Lee, Kangwook Lee, and Dimitris Papailiopoulos. 2023 · 2023

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Turning dust into gold: Distilling complex reasoning capabilities from llms by leveraging negative data

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Tcra-llm: Token compression retrieval augmented large language model for inference cost reduction

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Gpt-4 technical report

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Refiner: Reasoning feedback on intermediate representations

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Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, and Boi Faltings. 2023 · 2023

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Toolllm: Facilitating large language models to master 16000+ real-world apis

Original

Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, et al. 2023 · 2023

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Parallel context windows for large language models

Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Inbal Magar, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, and Yoav Shoham. 2023 · 2023

Cited alongside, same era.

Large language models can be easily distracted by irrelevant context

Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H Chi, Nathanael Schärli, and Denny Zhou. 2023 · 2023

Cited alongside, same era.

Multi-agent collaboration: Harnessing the power of intelligent llm agents

Same task, more tokens: the impact of input length on the reasoning performance of large language models

Original

Mosh Levy, Alon Jacoby, and Yoav Goldberg. 2024 · 2024

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Camel: Communicative agents for" mind" exploration of large language model society

Guohao Li, Hasan Hammoud, Hani Itani, Dmitrii Khizbullin, and Bernard Ghanem. 2024 · 2024

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Agentlite: A lightweight library for building and advancing task-oriented llm agent system

Original

Zhiwei Liu, Weiran Yao, Jianguo Zhang, Liangwei Yang, Zuxin Liu, Juntao Tan, Prafulla K Choubey, Tian Lan, Jason Wu, Huan Wang, et al. 2024 · 2024

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Agentboard: An analytical evaluation board of multi-turn llm agents

Original

Chang Ma, Junlei Zhang, Zhihao Zhu, Cheng Yang, Yujiu Yang, Yaohui Jin, Zhenzhong Lan, Lingpeng Kong, and Junxian He. 2024 · 2024

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Self-refine: Iterative refinement with self-feedback