Shilong Fan — accepted AI-conference papers

2026

MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering

Chuanzhe Guo, Jingjing Wu, Sijun He, Yang Chen, Zhaoqi Kuang, Shilong Fan +7

ICML 2026spotlight

The evolution of Large Language Model (LLM) agents for software engineering (SWE) is constrained by the scarcity of verifiable datasets, a bottleneck stemming from the complexity of constructing executable environments across diverse languages. To address this, we introduce **MEnvAgent**, a **M**ult…

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2024

CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation

Quan Tu, Shilong Fan, Zihang Tian, Tianhao Shen, Shuo Shang, Xin Gao +1

ACL 2024long

Recently, the advent of large language models (LLMs) has revolutionized generative agents. Among them, Role-Playing Conversational Agents (RPCAs) attract considerable attention due to their ability to emotionally engage users. However, the absence of a comprehensive benchmark impedes progress in thi…

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