[1] Lilian Wang, “LLM Powered Autonomous Agents”, https://lilianweng.github.io/posts/2023-06-23-agent/

[2] Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L. Griffiths, Yuan Cao, Karthik Narasimhan, “Tree of Thoughts: Deliberate Problem Solving with Large Language Models”, NeurIPS 2023 (Oral).

[3] Noah Shinn, Federico Cassano, Edward Berman, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao, “Reflexion: Language Agents with Verbal Reinforcement Learning”, NeurIPS 2023.

[4] Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang, “AdaPlanner: Adaptive Planning from Feedback with Language Models”, NeurIPS 2023.

[5] Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, Xiang Ren, “SwiftSage: A General Agent with Fast and Slow Thinking for Complex Interactive Tasks”, NeurIPS 2023 (Spotlight).

[6] Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samuel Stevens, Boshi Wang, Huan Sun, Yu Su, “Mind2Web: Towards a Generalist Agent for the Web”, NeurIPS 2023 Datasets and Benchmarks (Spotlight).

[7] John Yang, Akshara Prabhakar, Karthik Narasimhan, Shunyu Yao, “InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback”, NeurIPS 2023 Datasets and Benchmarks.

[8] Zihao Wang, Shaofei Cai, Guanzhou Chen, Anji Liu, Xiaojian Ma, Yitao Liang, “Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents”, NeurIPS 2023.

[9] Qian Huang, Jian Vora, Percy Liang, Jure Leskovec, “Benchmarking Large Language Models as AI Research Agents”, NeurIPS 2023 Foundation Models for Decision Making Workshop.

[10] Dong-Ki Kim, Sungryull Sohn, Lajanugen Logeswaran, Dongsub Shim, Honglak Lee, “MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning”, NeurIPS 2023 Efficient Natural Language and Speech Processing (ENLSP) (Spotlight).

[11] Byoungjip Kim, Youngsoo Jang, Lajanugen Logeswaran, Geon-Hyeong Kim, Yu Jin Kim, Honglak Lee, Moontae Lee, “Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking”, NeurIPS 2023 Foundation Models for Decision Making (FMDM) Workshop.

[12] NeurIPS 2023 Workshop Agent Learning in Open-Endedness (ALOE), https://sites.google.com/view/aloe2023.

[13] NeurIPS 2023 Workshop Foundation Models for Decision Making (FMDM), https://sites.google.com/view/fmdm-neurips23.

[14] NeurIPS 2023 Workshop Instruction Tuning and Instruction Following (Instruction), https://an-instructive-workshop.github.io/.