LifelongAgentBench: Evaluating LLM Agents as Lifelong Learners

Catastrophic forgetting in connectionist networks

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Beyond I.I.D.: three levels of generalization for question answering on knowledge bases

Yu Gu, Sue Kase, Michelle Vanni, Brian M. Sadler, Percy Liang, Xifeng Yan, and Yu Su · 2021

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Minedojo: Building open-ended embodied agents with internet-scale knowledge

Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, and Anima Anandkumar · 2022

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Gpt-4 technical report

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Agentbench: Benchmarking llms as agents

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Self-consistency improves chain of thought reasoning in language models

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Do not think that much for 2+ 3=? on the overthinking of o1-like llms

Original

Xingyu Chen, Jiahao Xu, Tian Liang, Zhiwei He, Jianhui Pang, Dian Yu, Linfeng Song, Qiuzhi Liu, Mengfei Zhou, Zhuosheng Zhang, et al · 2024

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The llama 3 herd of models

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Livecodebench: Holistic and contamination free evaluation of large language models for code

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Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, and Ion Stoica · 2024

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Tree search for language model agents

Original

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Visualwebarena: Benchmarking vision-language agents for web interaction

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Qwen2. 5 technical report

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Webarena: A realistic web environment for building autonomous agents

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Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning

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From system 1 to system 2: A survey of reasoning large language models

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Zhong-Zhi Li, Duzhen Zhang, Ming-Liang Zhang, Jiaxin Zhang, Zengyan Liu, Yuxuan Yao, Haotian Xu, Junhao Zheng, Pei-Jie Wang, Xiuyi Chen, et al · 2025

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