Ruixiang Tang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
14
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models. | Yuefei Chen, Vivek K. Singh, Jing Ma, Ruixiang Tang |
| 2026 | AAAI | CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning. | Yanshu Li, Jianjiang Yang, Zhennan Shen, Ligong Han, Haoyan Xu, Ruixiang Tang |
| 2026 | AAAI | Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning. | Yanshu Li, Jianjiang Yang, Ziteng Yang, Bozheng Li, Ligong Han, Hongyang He, Zhengtao Yao, Yingjie Victor Chen, Songlin Fei, Dongfang Liu, Ruixiang Tang |
| 2026 | ACL | Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety. | Can Jin, Rui Wu, Tong Che, Qixin Zhang, Hongwu Peng, Jiahui Zhao, Zhenting Wang, Wenqi Wei, Ligong Han, Zhao Zhang, Yuan Cao, Ruixiang Tang, Dimitris N. Metaxas |
| 2026 | EACL | FaithLM: Towards Faithful Explanations for Large Language Models. | Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Shaochen Zhong, Fan Yang, Andrew Wen, Mengnan Du, Xuanting Cai, Vladimir Braverman, Xia Hu |
| 2025 | ACL | When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations. | Huaizhi Ge, Yiming Li, Qifan Wang, Yongfeng Zhang, Ruixiang Tang |
| 2025 | ACL | Disentangling Memory and Reasoning Ability in Large Language Models. | Mingyu Jin, Weidi Luo, Sitao Cheng, Xinyi Wang, Wenyue Hua, Ruixiang Tang, William Yang Wang, Yongfeng Zhang |
| 2025 | CIKM | Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep. | Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Fan Yang, Kaize Ding, Ruixiang Tang, Yongfeng Zhang |
| 2025 | EMNLP | LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. | Hongyi Liu, Shaochen Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu |
| 2025 | EMNLP | TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration. | Yanshu Li, Jianjiang Yang, Tian Yun, Pinyuan Feng, Jinfa Huang, Ruixiang Tang |
| 2025 | EMNLP | A Decoupled Multi-Agent Framework for Complex Text Style Transfer. | Lingxi Zhang, Yu-Neng Chuang, Guanchu Wang, Ruixiang Tang, Xuanting Cai, Rajesh Shenoy, Xia Hu |
| 2025 | ICCV | Hallucinatory Image Tokens: A Training-Free EAZY Approach to Detecting and Mitigating Object Hallucinations in LVLMs. | Liwei Che, Tony Qingze Liu, Jing Jia, Weiyi Qin, Ruixiang Tang, Vladimir Pavlovic |
| 2025 | ICCV | Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics. | Taowen Wang, Cheng Han, James Liang, Wenhao Yang, Dongfang Liu, Luna Xinyu Zhang, Qifan Wang, Jiebo Luo, Ruixiang Tang |
| 2025 | ICLR | Re-Imagining Multimodal Instruction Tuning: A Representation View. | Yiyang Liu, James Chenhao Liang, Ruixiang Tang, Yugyung Lee, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han |
| 2025 | ICML | Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding. | Mingyu Jin, Kai Mei, Wujiang Xu, Mingjie Sun, Ruixiang Tang, Mengnan Du, Zirui Liu, Yongfeng Zhang |
| 2025 | IJCNLP | SafePersuasion: A Dataset, Taxonomy, and Baselines for Analysis of Rational Persuasion and Manipulation. | Haein Kong, A M. Muntasir Rahman, Ruixiang Tang, Vivek Singh |
| 2024 | EMNLP | TrustAgent: Towards Safe and Trustworthy LLM-based Agents. | Wenyue Hua, Xianjun Yang, Mingyu Jin, Zelong Li, Wei Cheng, Ruixiang Tang, Yongfeng Zhang |
| 2024 | EMNLP | Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. | Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Ben Hu |
| 2024 | EMNLP | Navigating the Shortcut Maze: A Comprehensive Analysis of Shortcut Learning in Text Classification by Language Models. | Yuqing Zhou, Ruixiang Tang, Ziyu Yao, Ziwei Zhu |
| 2024 | NAACL | Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models. | Ruixiang Tang, Yu-Neng Chuang, Xuanting Cai, Mengnan Du, Xia Hu |
| 2023 | ACL | Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. | Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue |
| 2023 | CIKM | DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. | Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu |
| 2023 | CIKM | Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks. | Ruixiang Tang, Hongye Jin, Mengnan Du, Curtis Wigington, Rajiv Jain, Xia Hu |
| 2023 | EMNLP | Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks. | Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A. Inan, Janardhan Kulkarni, Xia Hu |
| 2022 | AAAI | Towards Debiasing DNN Models from Spurious Feature Influence. | Mengnan Du, Ruixiang Tang, Weijie Fu, Xia Hu |
| 2022 | AMIA | Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. | Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu |
| 2022 | ICLR | DEGREE: Decomposition Based Explanation for Graph Neural Networks. | Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu |
| 2021 | WWW | Mitigating Gender Bias in Captioning Systems. | Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu |
| 2020 | KDD | An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. | Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu |
| 2019 | MICCAI | Breast Mass Detection in Mammograms via Blending Adversarial Learning. | Chunze Lin, Ruixiang Tang, Darryl D. Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, Jie Zhou |