Agent | Jiangjie Chen

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent

MemAgent introduces a multi-conv RL-based memory agent that enables language models to handle extremely long documents, extending from 8K to 3.5M tokens with minimal performance degradation.

Hongli Yu, Tinghong Chen, Jiangtao Feng, Jiangjie Chen, Weinan Dai, Qiying Yu, Ya-Qin Zhang, Wei-Ying Ma, Jingjing Liu, Mingxuan Wang, Hao Zhou

ARIA: Training Language Agents with Intention-Driven Reward Aggregation

ARIA improves language agent training by aggregating rewards in intention space, reducing variance and achieving 9.95% average performance gains across four tasks.

Ruihan Yang, Yikai Zhang, Aili Chen, Xintao Wang, Siyu Yuan, Jiangjie Chen, Deqing Yang, Yanghua Xiao

ARIA: Training Language Agents with Intention-Driven Reward Aggregation

EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

We proposes EASYTOOL, a method that simplifies tool documentation into concise instructions, improving tool use by language models.

Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Ren Kan, Dongsheng Li, Deqing Yang

EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms

We introduce EvoAgent, a method using evolutionary algorithms to automatically expand expert agents into multi-agent systems, enhancing the task-solving capabilities of large language model-based agents without additional human design.

Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Dongsheng Li, Deqing Yang

EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms

Revealing the Barriers of Language Agents in Planning

We reveal the two key factors that hinder language agents from achieving human-level planning.

Jian Xie, Kexun Zhang, Jiangjie Chen, Siyu Yuan, Kai Zhang, Yikai Zhang, Lei Li, Yanghua Xiao

Revealing the Barriers of Language Agents in Planning

SelfGoal: Your Language Agents Already Know How to Achieve High-level Goals

We introduce SelfGoal, an automatic approach that enhances language agents’ capabilities to achieve high-level goals with limited instructions and delayed feedback by adaptively breaking down goals into practical subgoals.

Ruihan Yang, Jiangjie Chen, Yikai Zhang, Siyu Yuan, Aili Chen, Kyle Richardson, Yanghua Xiao, Deqing Yang

SelfGoal: Your Language Agents Already Know How to Achieve High-level Goals

TravelAgent: An AI Assistant for Personalized Travel Planning

We introduce TravelAgent, an LLM-powered travel planning system that generates rational, comprehensive, and personalized itineraries through four modules, demonstrating effectiveness in dynamic scenarios.

Aili Chen, Xuyang Ge, Ziquan Fu, Yanghua Xiao, Jiangjie Chen

Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works

We propose evaluating large language models’ character understanding through character profiling, using the CroSS dataset and showing promising results for role-playing agent development.

Xinfeng Yuan, Siyu Yuan, Yuhan Cui, Tianhe Lin, Xintao Wang, Rui Xu, Jiangjie Chen, Deqing Yang

Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works

From Persona to Personalization: A Survey on Role-Playing Language Agents

This paper surveys Role-Playing Language Agents (RPLAs) by categorizing personas, discussing their development, and examining their applications, challenges, and future directions.

Jiangjie Chen, Xintao Wang, Rui Xu, Siyu Yuan, Yikai Zhang, Wei Shi, Jian Xie, Shuang Li, Ruihan Yang, Tinghui Zhu, Aili Chen, Nianqi Li, Lida Chen, Caiyu Hu, Siye Wu, Scott Ren, Ziquan Fu, Yanghua Xiao

From Persona to Personalization: A Survey on Role-Playing Language Agents

Character is Destiny: Can Large Language Models Simulate Persona-Driven Decisions in Role-Playing?

We evaluate the potential of LLMs to make decisions as literary characters, using a new dataset and improved method that enhances decision-making accuracy, with future work and resources to be shared publicly.

Rui Xu, Xintao Wang, Jiangjie Chen, Siyu Yuan, Xinfeng Yuan, Jiaqing Liang, Zulong Chen, Xiaoqing Dong, Yanghua Xiao

Character is Destiny: Can Large Language Models Simulate Persona-Driven Decisions in Role-Playing?