Lingyue Fu

According to our database, Lingyue Fu authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

MMSkills: Towards Multimodal Skills for General Visual Agents.

Kangning Zhang, Shuai Shao, Qingyao Li, Jianghao Lin, Lingyue Fu, Shijian Wang, Wenxiang Jiao, Yuan Lu, Weiwen Liu, Weinan Zhang, Yong Yu

CoRR, May, 2026

SWE-Cycle: Benchmarking Code Agents across the Complete Issue Resolution Cycle.

Hao Guan, Lingyue Fu, Shao Zhang, Yaoming Zhu, Kangning Zhang, Lin Qiu, Xunliang Cai, Xuezhi Cao, Weiwen Liu, Weinan Zhang, Yong Yu

CoRR, May, 2026

2025

CATArena: Evaluation of LLM Agents through Iterative Tournament Competitions.

Lingyue Fu, Xin Ding, Yaoming Zhu, Shao Zhang, Lin Qiu, Weiwen Liu, Weinan Zhang, Xuezhi Cao, Xunliang Cai, Jiaxin Ding, Yong Yu

CoRR, October, 2025

Automatically Benchmarking LLM Code Agents through Agent-Driven Annotation and Evaluation.

Lingyue Fu, Bolun Zhang, Hao Guan, Yaoming Zhu, Lin Qiu, Weiwen Liu, Xuezhi Cao, Xunliang Cai, Weinan Zhang, Yong Yu

CoRR, October, 2025

DebugTA: An LLM-Based Agent for Simplifying Debugging and Teaching in Programming Education.

Lingyue Fu, Haowei Yuan, Datong Chen, Xinyi Dai, Qingyao Li, Weinan Zhang, Weiwen Liu, Yong Yu

CoRR, October, 2025

CoreCodeBench: A Configurable Multi-Scenario Repository-Level Benchmark.

Lingyue Fu, Hao Guan, Bolun Zhang, Haowei Yuan, Yaoming Zhu, Jun Xu, Zongyu Wang, Lin Qiu, Xunliang Cai, Xuezhi Cao, Weiwen Liu, Weinan Zhang, Yong Yu

CoRR, July, 2025

AdvKT: An Adversarial Multi-step Training Framework for Knowledge Tracing.

Lingyue Fu, Ting Long, Jianghao Lin, Wei Xia, Xinyi Dai, Ruiming Tang, Yasheng Wang, Weinan Zhang, Yong Yu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

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

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis.

Weiming Zhang, Lingyue Fu, Qingyao Li, Kounianhua Du, Jianghao Lin, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

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

Xinmeng Hou, Lingyue Fu, Chenhao Meng, Hai Hu

CoRR, 2024

CodeGRAG: Extracting Composed Syntax Graphs for Retrieval Augmented Cross-Lingual Code Generation.

Kounianhua Du, Renting Rui, Huacan Chai, Lingyue Fu, Wei Xia, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, 2024

Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges.

Qingyao Li, Lingyue Fu, Weiming Zhang, Xianyu Chen, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu

CoRR, 2024

SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model.

Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models.

Lingyue Fu, Huacan Chai, Shuang Luo, Kounianhua Du, Weiming Zhang, Longteng Fan, Jiayi Lei, Renting Rui, Jianghao Lin, Yuchen Fang, Yifan Liu, Jingkuan Wang, Siyuan Qi, Kangning Zhang, Weinan Zhang, Yong Yu

CoRR, 2023

An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages.

Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023