Chengwei Qin

According to our database, Chengwei Qin authored at least 62 papers between 2017 and 2026.

Collaborative distances:

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

2026

PRISM: Pre-alignment via Black-box On-policy Distillation for Multimodal Reinforcement Learning.

Sudong Wang, Weiquan Huang, Xiaomin Yu, Zuhao Yang, Hehai Lin, Keming Wu, Chaojun Xiao, Chen Chen, Wenxuan Wang, Beier Zhu, Yunjian Zhang, Chengwei Qin

CoRR, April, 2026

SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts.

Yuan Xin, Yixuan Weng, Minjun Zhu, Ying Ling, Chengwei Qin, Michael Backes, Yue Zhang, Linyi Yang

CoRR, April, 2026

Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systems.

Hehai Lin, Yu Yan, Zixuan Wang, Bo Xu, Sudong Wang, Weiquan Huang, Ruochen Zhao, Minzhi Li, Chengwei Qin

CoRR, March, 2026

CoMMET: To What Extent Can LLMs Perform Theory of Mind Tasks?

Ruirui Chen, Weifeng Jiang, Chengwei Qin, Cheston Tan

CoRR, March, 2026

CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges.

Zi-Han Wang, Lam Nguyen, Zhengyang Zhao, Mengyue Yang, Chengwei Qin, Yujiu Yang, Linyi Yang

CoRR, March, 2026

ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation.

Bo Xu, Haotian Wu, Hehai Lin, Weiquan Huang, Beier Zhu, Yao Shu, Chengwei Qin

CoRR, March, 2026

Modality Gap-Driven Subspace Alignment Training Paradigm For Multimodal Large Language Models.

Xiaomin Yu, Yi Xin, Wenjie Zhang, Chonghan Liu, Hanzhen Zhao, Xiaoxing Hu, Xinlei Yu, Ziyue Qiao, Hao Tang, Xue Yang, Xiaobin Hu, Chengwei Qin, Hui Xiong, Yu Qiao, Shuicheng Yan

CoRR, February, 2026

Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory.

Haozhen Zhang, Haodong Yue, Tao Feng, Quanyu Long, Jianzhu Bao, Bowen Jin, Weizhi Zhang, Xiao Li, Jiaxuan You, Chengwei Qin, Wenya Wang

CoRR, February, 2026

Training Multi-Turn Search Agent via Contrastive Dynamic Branch Sampling.

Yubao Zhao, Weiquan Huang, Sudong Wang, Ruochen Zhao, Chen Chen, Yao Shu, Chengwei Qin

CoRR, February, 2026

AMA: Adaptive Memory via Multi-Agent Collaboration.

Weiquan Huang, Zixuan Wang, Hehai Lin, Sudong Wang, Bo Xu, Qian Li, Beier Zhu, Linyi Yang, Chengwei Qin

CoRR, January, 2026

Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning.

Chengwen Liu, Xiaomin Yu, Zhuoyue Chang, Zhe Huang, Shuo Zhang, Heng Lian, Kunyi Wang, Rui Xu, Sen Hu, Jianheng Hou, Hao Peng, Chengwei Qin, Xiaobin Hu, Hong Peng, Ronghao Chen, Huacan Wang

CoRR, January, 2026

Mixture of embedding experts for open knowledge graphs.

Qian Li, Chengwei Qin, Yongkang Liu, Lizhen Cui

Neurocomputing, 2026

2025

LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling.

Zuhao Yang, Sudong Wang, Kaichen Zhang, Keming Wu, Sicong Leng, Yifan Zhang, Bo Li, Chengwei Qin, Shijian Lu, Xingxuan Li, Lidong Bing

CoRR, November, 2025

CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation.

Shilei Cao, Ziyang Gong, Hehai Lin, Yang Liu, Jiashun Cheng, Xiaoxing Hu, Haoyuan Liang, Guowen Li, Chengwei Qin, Hong Cheng, Xue Yang, Juepeng Zheng, Haohuan Fu

CoRR, November, 2025

Are Large Language Models Effective Knowledge Graph Constructors?

Ruirui Chen, Weifeng Jiang, Chengwei Qin, Bo Xiong, Fiona Liausvia, Dongkyu Choi, Boon Kiat Quek

CoRR, October, 2025

Video-STR: Reinforcing MLLMs in Video Spatio-Temporal Reasoning with Relation Graph.

Wentao Wang, Heqing Zou, Tianze Luo, Ru Huang, Yutian Zhao, Zhuochen Wang, Hansheng Zhang, Chengwei Qin, Yan Wang, Lin Zhao, Huaijian Zhang

CoRR, October, 2025

FURINA: A Fully Customizable Role-Playing Benchmark via Scalable Multi-Agent Collaboration Pipeline.

Haotian Wu, Shufan Jiang, Mingyu Chen, Yiyang Feng, Hehai Lin, Heqing Zou, Yao Shu, Chengwei Qin

CoRR, October, 2025

Self-Reflective Generation at Test Time.

Jian Mu, Qixin Zhang, Zhiyong Wang, Menglin Yang, Shuang Qiu, Chengwei Qin, Zhongxiang Dai, Yao Shu

CoRR, October, 2025

Agent-ScanKit: Unraveling Memory and Reasoning of Multimodal Agents via Sensitivity Perturbations.

Pengzhou Cheng, Lingzhong Dong, Zeng Wu, Zongru Wu, Xiangru Tang, Chengwei Qin, Zhuosheng Zhang, Gongshen Liu

CoRR, October, 2025

Interactive Learning for LLM Reasoning.

Hehai Lin, Shilei Cao, Sudong Wang, Haotian Wu, Minzhi Li, Linyi Yang, Juepeng Zheng, Chengwei Qin

CoRR, September, 2025

Task-Adaptive Parameter-Efficient Fine-Tuning for Weather Foundation Models.

Shilei Cao, Hehai Lin, Jiashun Cheng, Yang Liu, Guowen Li, Xuehe Wang, Juepeng Zheng, Haoyuan Liang, Meng Jin, Chengwei Qin, Hong Cheng, Haohuan Fu

CoRR, September, 2025

RIMO: An Easy-to-Evaluate, Hard-to-Solve Olympiad Benchmark for Advanced Mathematical Reasoning.

Ziye Chen, Chengwei Qin, Yao Shu

CoRR, September, 2025

Implicit Reasoning in Large Language Models: A Comprehensive Survey.

Jindong Li, Yali Fu, Li Fan, Jiahong Liu, Yao Shu, Chengwei Qin, Menglin Yang, Irwin King, Rex Ying

CoRR, September, 2025

DRQA: Dynamic Reasoning Quota Allocation for Controlling Overthinking in Reasoning Large Language Models.

Kaiwen Yan, Xuanqing Shi, Hongcheng Guo, Wenxuan Wang, Zhuosheng Zhang, Chengwei Qin

CoRR, August, 2025

Thinking with Nothinking Calibration: A New In-Context Learning Paradigm in Reasoning Large Language Models.

Haotian Wu, Bo Xu, Yao Shu, Menglin Yang, Chengwei Qin

CoRR, August, 2025

Unicorn: Text-Only Data Synthesis for Vision Language Model Training.

Xiaomin Yu, Pengxiang Ding, Wenjie Zhang, Siteng Huang, Songyang Gao, Chengwei Qin, Kejian Wu, Zhaoxin Fan, Ziyue Qiao, Donglin Wang

CoRR, March, 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

Trans. Mach. Learn. Res., 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

Trans. Mach. Learn. Res., 2025

Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation.

Chengwei Qin, Wenxuan Zhou, Karthik Abinav Sankararaman, Nanshu Wang, Tengyu Xu, Alexander Radovic, Eryk Helenowski, Arya Talebzadeh, Aditya Tayade, Sinong Wang, Shafiq Joty, Han Fang, Hao Ma

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025

Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?

Chengwei Qin, Wenhan Xia, Tan Wang, Fangkai Jiao, Yuchen Hu, Bosheng Ding, Ruirui Chen, Shafiq Joty

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

Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning.

Chengwei Qin, Wenhan Xia, Fangkai Jiao, Chen Chen, Yuchen Hu, Bosheng Ding, Ruirui Chen, Shafiq Joty

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Theory of Mind in Large Language Models: Assessment and Enhancement.

Ruirui Chen, Weifeng Jiang, Chengwei Qin, Cheston Tan

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

StructTest: Benchmarking LLMs' Reasoning through Compositional Structured Outputs.

Hailin Chen, Fangkai Jiao, Mathieu Ravaut, Nawshad Farruque, Xuan-Phi Nguyen, Chengwei Qin, Manan Dey, Bosheng Ding, Caiming Xiong, Shafiq Joty, Yingbo Zhou

CoRR, 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

CoRR, 2024

How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library.

Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty

CoRR, 2024

Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning.

Wenhan Xia, Chengwei Qin, Elad Hazan

CoRR, 2024

Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models.

Yuchen Hu, Chen Chen, Chao-Han Yang, Chengwei Qin, Pin-Yu Chen, Engsiong Chng, Chao Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Lifelong Event Detection with Embedding Space Separation and Compaction.

Chengwei Qin, Ruirui Chen, Ruochen Zhao, Wenhan Xia, Shafiq Joty

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

In-Context Learning with Iterative Demonstration Selection.

Chengwei Qin, Aston Zhang, Chen Chen, Anirudh Dagar, Wenming Ye

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing.

Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, Nancy F. Chen, Shafiq Joty

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments.

Ruirui Chen, Weifeng Jiang, Chengwei Qin, Ishaan Singh Rawal, Cheston Tan, Dongkyu Choi, Bo Xiong, Bo Ai

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models.

Yuchen Hu, Chen Chen, Chengwei Qin, Qiushi Zhu, Engsiong Chng, Ruizhe Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges.

Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System.

Chen Chen, Ruizhe Li, Yuchen Hu, Yuanyuan Chen, Chengwei Qin, Qiang Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Is a Large Language Model a Good Annotator for Event Extraction?

Ruirui Chen, Chengwei Qin, Weifeng Jiang, Dongkyu Choi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Improving In-context Learning via Bidirectional Alignment.

Chengwei Qin, Wenhan Xia, Fangkai Jiao, Shafiq Joty

CoRR, 2023

ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?

Hailin Chen, Fangkai Jiao, Xingxuan Li, Chengwei Qin, Mathieu Ravaut, Ruochen Zhao, Caiming Xiong, Shafiq Joty

CoRR, 2023

In-Context Learning with Iterative Demonstration Selection.

Chengwei Qin, Aston Zhang, Anirudh Dagar, Wenming Ye

CoRR, 2023

PromptSum: Parameter-Efficient Controllable Abstractive Summarization.

Mathieu Ravaut, Hailin Chen, Ruochen Zhao, Chengwei Qin, Shafiq Joty, Nancy F. Chen

CoRR, 2023

Retrieving Multimodal Information for Augmented Generation: A Survey.

Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Do Xuan Long, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq Joty

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Is ChatGPT a General-Purpose Natural Language Processing Task Solver?

Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, Diyi Yang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation.

Chengwei Qin, Chen Chen, Shafiq Joty

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework.

Ruochen Zhao, Xingxuan Li, Shafiq Joty, Chengwei Qin, Lidong Bing

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?

Chengwei Qin, Shafiq R. Joty, Qian Li, Ruochen Zhao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding.

Qian Li, Shafiq Joty, Daling Wang, Shi Feng, Yifei Zhang, Chengwei Qin

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition.

Yuchen Hu, Ruizhe Li, Chen Chen, Chengwei Qin, Qiu-Shi Zhu, Eng Siong Chng

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Is GPT-3 a Good Data Annotator?

Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty, Lidong Bing

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Is GPT-3 a Good Data Annotator?

Bosheng Ding, Chengwei Qin, Linlin Liu, Lidong Bing, Shafiq R. Joty, Boyang Li

CoRR, 2022

LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5.

Chengwei Qin, Shafiq R. Joty

Proceedings of the Tenth International Conference on Learning Representations, 2022

Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation.

Chengwei Qin, Shafiq R. Joty

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2017

Sensor-based calibrations to improve reliability of systems subject to multiple dependent competing failure processes.

Dejing Kong, Chengwei Qin, Yong He, Lirong Cui

Reliab. Eng. Syst. Saf., 2017

VMS: Traffic balancing based on virtual switches in datacenter networks.

Zhaogeng Li, Jun Bi, Yiran Zhang, Abdul Basit Dogar, Chengwei Qin

Proceedings of the 25th IEEE International Conference on Network Protocols, 2017