Qin, Chengwei

6 publications

TMLR 2025 A Comprehensive Survey of Contamination Detection Methods in Large Language Models Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty

TMLR 2025 A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems Zixuan Ke, Fangkai Jiao, Yifei Ming, Xuan-Phi Nguyen, Austin Xu, Do Xuan Long, Minzhi Li, Chengwei Qin, PeiFeng Wang, Silvio Savarese, Caiming Xiong, Shafiq Joty

ICMLW 2024 Chain of LoRA: Efficient Fine-Tuning of Language Models via Residual Learning Wenhan Xia, Chengwei Qin, Elad Hazan

AAAI 2024 Is a Large Language Model a Good Annotator for Event Extraction? Ruirui Chen, Chengwei Qin, Weifeng Jiang, Dongkyu Choi

NeurIPS 2024 Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Chengwei Qin, Pin-Yu Chen, Eng Siong Chng, Chao Zhang

ICLR 2022 LFPT5: A Unified Framework for Lifelong Few-Shot Language Learning Based on Prompt Tuning of T5 Chengwei Qin, Shafiq Joty