Lingyue Fu — accepted AI-conference papers

2026

CATArena: Evaluating Evolutionary Capabilities of Code Agents via Iterative Tournaments

Lingyue Fu, Xin Ding, Linyue Pan, Yaoming Zhu, Shao Zhang, Lin Qiu +6

ICML 2026poster

Current evaluation for Large Language Model (LLM) code agents predominantly focus on generating functional code in single-turn scenarios, which fails to evaluate the agent's capability for continuous code optimization and multi-turn iterative development. To bridge this gap, we introduce CATArena, a…

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2025

Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction

Xinmeng Hou, Lingyue Fu, Chenhao Meng, Kounianhua Du, Hai Hu

EMNLP 2025

Aspect-Opinion Pair Extraction (AOPE) and Aspect Sentiment Triplet Extraction (ASTE) have drawn growing attention in NLP. However, most existing approaches extract aspects and opinions independently, optionally adding pairwise relations, often leading to error propagation and high time complexity. T

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