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Resume (English only)
Academic Achievements
Published multiple papers on the evaluation of NLP and LLMs such as 'A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability' (ACL 2025), 'LLM-based NLG Evaluation: Current Status and Challenges' (Computational Linguistics), etc., and participated in reviewing for several international conferences.
Research Experience
Served as a visiting student at the Yale NLP Lab.
Education
PhD: Northeastern University, supervised by Prof. Weiyan Shi; Bachelor's and Master's: Peking University, supervised by Xiaojun Wan; Visiting student at Yale NLP Lab, supervised by Arman Cohan.
Background
Research Interests: Evaluation of NLP and LLMs. Believes that evaluation has an interdisciplinary nature, including but not limited to human factors, machine learning, and statistics. His work focuses on the evaluation of summarization, generation, and LLMs, exploring various aspects of automatic evaluation, human evaluation, and meta-evaluation.
Miscellany
Academic Services: Served as a reviewer for conferences like AAAI 2023, EMNLP 2023, and more.