← Search

Hehong Chen

2 accepted papers

2024

Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

EMNLP 2024main

Large Language Model (LLM) agents significantly extend the capabilities of standalone LLMs, empowering them to interact with external tools (e.g., APIs, functions) and complete various tasks in a self-directed fashion. The challenge of tool use demands that LLMs not only understand user queries and…

2024

SocialBench: Sociality Evaluation of Role-Playing Conversational Agents

ACL 2024findings

Large language models (LLMs) have advanced the development of various AI conversational agents, including role-playing agents that mimic diverse characters and human behaviors. While prior research has predominantly focused on enhancing the conversational capability, role-specific knowledge and styl…