Qin Liu

According to our database, Qin Liu authored at least 37 papers between 2020 and 2026.

Collaborative distances:

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

2026

Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting.

Cheng Wang, Qin Liu, Wenxuan Zhou, Muhao Chen

CoRR, May, 2026

DebugLM: Learning Traceable Training Data Provenance for LLMs.

Wenjie Jacky Mo, Qin Liu, Xiaofei Wen, Wenxuan Zhou, Zhe Zhao, Muhao Chen

CoRR, March, 2026

RedCoder: Automated Multi-Turn Red Teaming for Code LLMs.

Wenjie Jacky Mo, Qin Liu, Xiaofei Wen, Dongwon Jung, Hadi Askari, Wenxuan Zhou, Zhe Zhao, Muhao Chen

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination.

Mingqi Wu, Zhihao Zhang, Qiaole Dong, Zhiheng Xi, Jun Zhao, Senjie Jin, Xiaoran Fan, Yuhao Zhou, Huijie Lv, Ming Zhang, Yanwei Fu, Qin Liu, Songyang Zhang, Qi Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models.

Jiyoon Pyo, Yuankun Jiao, Dongwon Jung, Zekun Li, Leeje Jang, Sofia Kirsanova, Jina Kim, Yijun Lin, Qin Liu, Junyi Xie, Hadi Askari, Nan Xu, Muhao Chen, Yao-Yi Chiang

CoRR, December, 2025

OmniStruct: Universal Text-to-Structure Generation across Diverse Schemas.

James Y. Huang, Wenxuan Zhou, Nan Xu, Fei Wang, Qin Liu, Sheng Zhang, Hoifung Poon, Muhao Chen

CoRR, November, 2025

ArenaBencher: Automatic Benchmark Evolution via Multi-Model Competitive Evaluation.

Qin Liu, Jacob Dineen, James Y. Huang, Sheng Zhang, Hoifung Poon, Ben Zhou, Muhao Chen

CoRR, October, 2025

False Sense of Security: Why Probing-based Malicious Input Detection Fails to Generalize.

Cheng Wang, Zeming Wei, Qin Liu, Muhao Chen

CoRR, September, 2025

Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination.

Mingqi Wu, Zhihao Zhang, Qiaole Dong, Zhiheng Xi, Jun Zhao, Senjie Jin, Xiaoran Fan, Yuhao Zhou, Yanwei Fu, Qin Liu, Songyang Zhang, Qi Zhang

CoRR, July, 2025

Exploring Scaling Laws for EHR Foundation Models.

Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon

CoRR, May, 2025

MetaScale: Test-Time Scaling with Evolving Meta-Thoughts.

Qin Liu, Wenxuan Zhou, Nan Xu, James Y. Huang, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen

CoRR, March, 2025

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models.

Zihao Lin, Samyadeep Basu, Mohammad Beigi, Varun Manjunatha, Ryan A. Rossi, Zichao Wang, Yufan Zhou, Sriram Balasubramanian, Arman Zarei, Keivan Rezaei, Ying Shen, Barry Menglong Yao, Zhiyang Xu, Qin Liu, Yuxiang Zhang, Yan Sun, Shilong Liu, Li Shen, Hongxuan Li, Soheil Feizi, Lifu Huang

CoRR, February, 2025

VLM-Guard: Safeguarding Vision-Language Models via Fulfilling Safety Alignment Gap.

Qin Liu, Fei Wang, Chaowei Xiao, Muhao Chen

CoRR, February, 2025

MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design.

Jingyuan Qi, Zian Jia, Minqian Liu, Wangzhi Zhan, Junkai Zhang, Xiaofei Wen, Jingru Gan, Jianpeng Chen, Qin Liu, Mingyu Derek Ma, Bangzheng Li, Haohui Wang, Adithya Kulkarni, Muhao Chen, Dawei Zhou, Ling Li, Wei Wang, Lifu Huang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations.

Wenjie Jacky Mo, Jiashu Xu, Qin Liu, Jiongxiao Wang, Jun Yan, Hadi Askari, Chaowei Xiao, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.

Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation.

Dongwon Jung, Qin Liu, Tenghao Huang, Ben Zhou, Muhao Chen

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

QA-LIGN: Aligning LLMs through Constitutionally Decomposed QA.

Jacob Dineen, Aswin RRV, Qin Liu, Zhikun Xu, Xiao Ye, Ming Shen, Zhaonan Li, Shijie Lu, Chitta Baral, Muhao Chen, Ben Zhou

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

Unraveling and Mitigating Safety Alignment Degradation of Vision-Language Models.

Qin Liu, Chao Shang, Ling Liu, Nikolaos Pappas, Jie Ma, Neha Anna John, Srikanth Doss, Lluís Màrquez, Miguel Ballesteros, Yassine Benajiba

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

SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment.

Qin Liu, Fei Wang, Chaowei Xiao, Muhao Chen

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

2024

Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models.

Tinghui Zhu, Qin Liu, Fei Wang, Zhengzhong Tu, Muhao Chen

CoRR, 2024

Securing Multi-turn Conversational Language Models Against Distributed Backdoor Triggers.

Terry Tong, Jiashu Xu, Qin Liu, Muhao Chen

CoRR, 2024

From Shortcuts to Triggers: Backdoor Defense with Denoised PoE.

Qin Liu, Fei Wang, Chaowei Xiao, Muhao Chen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors.

Victoria Graf, Qin Liu, Muhao Chen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacks.

Terry Tong, Qin Liu, Jiashu Xu, Muhao Chen

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

Monotonic Paraphrasing Improves Generalization of Language Model Prompting.

Qin Liu, Fei Wang, Nan Xu, Tianyi Yan, Tao Meng, Muhao Chen

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

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.

Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin

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

Mitigating Backdoor Threats to Large Language Models: Advancement and Challenges.

Qin Liu, Wenjie Mo, Terry Tong, Jiashu Xu, Fei Wang, Chaowei Xiao, Muhao Chen

Proceedings of the 60th Annual Allerton Conference on Communication, 2024

2023

Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations.

Wenjie Mo, Jiashu Xu, Qin Liu, Jiongxiao Wang, Jun Yan, Chaowei Xiao, Muhao Chen

CoRR, 2023

Secrets of RLHF in Large Language Models Part I: PPO.

Rui Zheng, Shihan Dou, Songyang Gao, Yuan Hua, Wei Shen, Binghai Wang, Yan Liu, Senjie Jin, Qin Liu, Yuhao Zhou, Limao Xiong, Lu Chen, Zhiheng Xi, Nuo Xu, Wenbin Lai, Minghao Zhu, Cheng Chang, Zhangyue Yin, Rongxiang Weng, Wensen Cheng, Haoran Huang, Tianxiang Sun, Hang Yan, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang

CoRR, 2023

Characterizing the Impacts of Instances on Robustness.

Rui Zheng, Zhiheng Xi, Qin Liu, Wenbin Lai, Tao Gui, Qi Zhang, Xuanjing Huang, Jin Ma, Ying Shan, Weifeng Ge

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

Detecting Adversarial Samples through Sharpness of Loss Landscape.

Rui Zheng, Shihan Dou, Yuhao Zhou, Qin Liu, Tao Gui, Qi Zhang, Zhongyu Wei, Xuanjing Huang, Menghan Zhang

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

2022

PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack.

Rui Zheng, Rong Bao, Qin Liu, Tao Gui, Qi Zhang, Xuanjing Huang, Rui Xie, Wei Wu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Flooding-X: Improving BERT's Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning.

Qin Liu, Rui Zheng, Bao Rong, Jingyi Liu, Zhihua Liu, Zhanzhan Cheng, Liang Qiao, Tao Gui, Qi Zhang, Xuanjing Huang

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

2021

Overview of Argumentative Text Understanding for AI Debater Challenge.

Jian Yuan, Liying Cheng, Ruidan He, Yinzi Li, Lidong Bing, Zhongyu Wei, Qin Liu, Chenhui Shen, Shuonan Zhang, Changlong Sun, Luo Si, Changjian Jiang, Xuanjing Huang

Proceedings of the Natural Language Processing and Chinese Computing, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.

Xiao Wang, Qin Liu, Tao Gui, Qi Zhang, Yicheng Zou, Xin Zhou, Jiacheng Ye, Yongxin Zhang, Rui Zheng, Zexiong Pang, Qinzhuo Wu, Zhengyan Li, Chong Zhang, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xingwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Shan Qin, Bolin Zhu, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Learning to Generate Representations for Novel Words: Mimic the OOV Situation in Training.

Xiaoyu Xing, Minlong Peng, Qi Zhang, Qin Liu, Xuanjing Huang

Proceedings of the Natural Language Processing and Chinese Computing, 2020