Machine psychology: Investigating emergent capabilities and behavior in large language models using psychological methods, 2023
Thilo Hagendorff · 2023
Closest in time.
Theory of mind may have spontaneously emerged in large language models, 2023
Michal Kosinski · 2023
Closest in time.
Swiftsage: A generative agent with fast and slow thinking for complex interactive tasks, 2023
Bill Yuchen Lin, Yicheng Fu, Karina Yang, Prithviraj Ammanabrolu, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Yejin Choi, and Xiang Ren · 2023
Closest in time.
Dissociating language and thought in large language models: a cognitive perspective, 2023
Kyle Mahowald, Anna A. Ivanova, Idan A. Blank, Nancy Kanwisher, Joshua B. Tenenbaum, and Evelina Fedorenko · 2023
Closest in time.
Generative agents: Interactive simulacra of human behavior, 2023
Joon Sung Park, Joseph C. O’Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein · 2023
Closest in time.
Investigating emergent goal-like behaviour in large language models using experimental economics, 2023
Steve Phelps and Yvan I. Russell · 2023
Closest in time.
Communicative agents for software development, 2023
Chen Qian, Xin Cong, Wei Liu, Cheng Yang, Weize Chen, Yusheng Su, Yufan Dang, Jiahao Li, Juyuan Xu, Dahai Li, Zhiyuan Liu, and Maosong Sun · 2023
Closest in time.
Clever hans or neural theory of mind? stress testing social reasoning in large language models, 2023
Natalie Shapira, Mosh Levy, Seyed Hossein Alavi, Xuhui Zhou, Yejin Choi, Yoav Goldberg, Maarten Sap, and Vered Shwartz · 2023
Closest in time.
Reflexion: Language agents with verbal reinforcement learning, 2023
Noah Shinn, Federico Cassano, Beck Labash, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao · 2023
Closest in time.
Cognitive architectures for language agents, 2023
Theodore Sumers, Shunyu Yao, Karthik Narasimhan, and Thomas L. Griffiths · 2023
Closest in time.
Olagpt: Empowering llms with human-like problem-solving abilities, 2023
Yuanzhen Xie, Tao Xie, Mingxiong Lin, WenTao Wei, Chenglin Li, Beibei Kong, Lei Chen, Chengxiang Zhuo, Bo Hu, and Zang Li · 2023
Closest in time.
Proagent: Building proactive cooperative ai with large language models, 2023
Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, and Yaodong Yang · 2023
Closest in time.
Expel: Llm agents are experiential learners, 2023
Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, and Gao Huang · 2023
Closest in time.
Agents: An open-source framework for autonomous language agents, 2023
Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Ningyu Zhang, Huajun Chen, Peng Cui, and Mrinmaya Sachan · 2023
Closest in time.
Ghost in the minecraft: Generally capable agents for open-world environments via large language models with text-based knowledge and memory, 2023
Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, Yu Qiao, Zhaoxiang Zhang, and Jifeng Dai · 2023
Closest in time.