Conference on Empirical Methods in Natural Language Processing · 2023
Cited
3
Resume (English only)
Academic Achievements
Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought, Technical Report.
WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models, 2025 ACL.
Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction, 2025 ICLR.
Improving Factual Consistency of News Summarization by Contrastive Preference Optimization, 2024 EMNLP (Findings).
Well Begun Is Half Done: An Implicitly Augmented Generative Framework with Distribution Modification for Hierarchical Text Classification, 2024 COLING.
Perturbation-Based Self-Supervised Attention for Attention Bias in Text Classification, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction, 2023 ACL.
It’s Better to Teach Fishing than Giving a Fish: An Auto-Augmented Structure-aware Generative Model for Metaphor Detection, 2022 EMNLP (Findings).
Education
Ph.D.: South China University of Technology, School of Computer Science and Engineering, Advisor: Prof. Qianli Ma; Bachelor's Degree: South China University of Technology, with the qualification for postgraduate recommendation, and later applied for a direct Ph.D. program in the first year of graduate studies.
Background
Research Interests: LLM Alignment, Post Training, and Preference Optimization. Currently, a third-year Ph.D. student in the School of Computer Science and Engineering at South China University of Technology (SCUT).