Annual Meeting of the Association for Computational Linguistics · 2024
Cited
6
Resume (English only)
Academic Achievements
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation, ACL 2024 (CCF-A, Long Paper)
Learning Task Decomposition to Assist Humans in Competitive Programming, ACL 2024 (CCF-A, Long Paper)
AlignBench: Benchmarking Chinese Alignment of Large Language Models, ACL 2024 (CCF-A, Long Paper)
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training, ACL 2024 (CCF-A, Long Paper)
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization, ACL 2024 (CCF-A, Long Paper)
Towards Efficient Exact Optimization of Language Model Alignment, ICML 2024 (CCF-A)
Language Model Decoding as Direct Metrics Optimization, ICLR 2024
Unveiling the Implicit Toxicity in Large Language Models, EMNLP 2023 (CCF-B, Long Paper)
DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering, ACL 2023 (CCF-A, Long Paper)
Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning, ACL 2023 Findings (Long Paper)
Tailoring Language Generation Models under Total Variation Distance, ICLR 2023 (Notable-Top-5%)
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization, EMNLP 2022 (CCF-B, Long Paper)
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation, IJCAI 2022 (CCF-A, Full Paper)
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation, ACL 2022 (CCF-A, Long Paper)
Rethinking and Refining the Distinct Metric, ACL 2022 (CCF-A, Short Paper)
Research Experience
Postdoctoral Researcher, Department of Computer Science and Technology, Tsinghua University.
Background
Postdoctoral researcher in the Conversational AI Group, Department of Computer Science and Technology, Tsinghua University, collaborating with Prof. Minlie Huang. Research interests include natural language generation, dialogue system, and sentiment analysis.