Collection by
Jul 15
Jul 15Collections
Discover the best community collections!
Collections including paper arxiv:2210.03629
Collection by
May 17
May 17Collection by
May 13
May 13-
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 27 -
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents
Paper • 2401.00812 • Published • 11 -
DynaSaur: Large Language Agents Beyond Predefined Actions
Paper • 2411.01747 • Published • 36 -
Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 164
Collection by
Apr 20
Apr 20-
Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 42 -
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
Paper • 2310.18940 • Published -
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Paper • 2504.01990 • Published • 301 -
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent
Paper • 2404.03648 • Published • 29
Collection by
Apr 5
Apr 5-
Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 164 -
DynaSaur: Large Language Agents Beyond Predefined Actions
Paper • 2411.01747 • Published • 36 -
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents
Paper • 2401.00812 • Published • 11 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 27
Collection by
Jul 15
Jul 15Collection by
May 20
May 20Collection by
May 17
May 17Collection by
May 15
May 15Collection by
May 13
May 13-
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 27 -
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents
Paper • 2401.00812 • Published • 11 -
DynaSaur: Large Language Agents Beyond Predefined Actions
Paper • 2411.01747 • Published • 36 -
Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 164
Collection by
Apr 21
Apr 21Collection by
Apr 20
Apr 20-
Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 42 -
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
Paper • 2310.18940 • Published -
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Paper • 2504.01990 • Published • 301 -
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent
Paper • 2404.03648 • Published • 29
Collection by
Apr 7
Apr 7Collection by
Apr 5
Apr 5-
Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 164 -
DynaSaur: Large Language Agents Beyond Predefined Actions
Paper • 2411.01747 • Published • 36 -
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents
Paper • 2401.00812 • Published • 11 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 27
Collection by
Mar 12
Mar 12