Dongrui Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
6
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. | Yifan Jia, Yuntao Du, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Qian Li, Dongrui Liu |
| 2026 | AAAI | IS-Bench: Evaluating Interactive Safety of VLM-Driven Embodied Agents in Daily Household Tasks. | Xiaoya Lu, Zeren Chen, Xuhao Hu, Yijin Zhou, Weichen Zhang, Dongrui Liu, Lu Sheng, Jing Shao |
| 2026 | ACL | AgentSlimming: Towards Efficient and Cost-Aware Multi-Agent Systems. | Yulang Chen, Haoxuan Peng, Jinyan Liu, Zichen Wen, Dongrui Liu, Linfeng Zhang |
| 2026 | ACL | LLMs Deceive Unintentionally: Emergent Misalignment in Dishonesty from Misaligned Samples to Biased Human-AI Interactions. | Xuhao Hu, Peng Wang, Xiaoya Lu, Dongrui Liu, Xuanjing Huang, Jing Shao |
| 2026 | ACL | AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments. | Zhiheng Xi, Dingwen Yang, Jiaqi Liu, Jixuan Huang, Honglin Guo, Baodai Huang, Tinggang Chen, Qi Zhang, Zhonghang Lu, Chenyu Liu, Jiajun Sun, Jiazheng Zhang, Dingwei Zhu, Xin Guo, Junzhe Wang, Zhihao Zhang, Yuming Yang, Junjie Ye, Minghe Gao, Dongrui Liu, Jiaming Ji, Guohao Li, Tao Gui, Xuanjing Huang |
| 2026 | ACL | ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model Merging. | Junyao Yang, Chen Qian, Wen Shen, Yong Liu, Jing Shao, Dongrui Liu |
| 2025 | ACL | VLSBench: Unveiling Visual Leakage in Multimodal Safety. | Xuhao Hu, Dongrui Liu, Hao Li, Xuanjing Huang, Jing Shao |
| 2025 | ACL | LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint. | Qianli Ma, Dongrui Liu, Qian Chen, Linfeng Zhang, Jing Shao |
| 2025 | ACL | The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models. | Chen Qian, Dongrui Liu, Jie Zhang, Yong Liu, Jing Shao |
| 2025 | ACL | Cooperative or Competitive? Understanding the Interaction between Attention Heads From A Game Theory Perspective. | Xiaoye Qu, Zengqi Yu, Dongrui Liu, Wei Wei, Daizong Liu, Jianfeng Dong, Yu Cheng |
| 2025 | ACL | LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts. | Qibing Ren, Hao Li, Dongrui Liu, Zhanxu Xie, Xiaoya Lu, Yu Qiao, Lei Sha, Junchi Yan, Lizhuang Ma, Jing Shao |
| 2025 | ACL | EvoBench: Towards Real-world LLM-Generated Text Detection Benchmarking for Evolving Large Language Models. | Xiao Yu, Yi Yu, Dongrui Liu, Kejiang Chen, Weiming Zhang, Nenghai Yu, Jing Shao |
| 2025 | CVPR | Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning. | Qianli Ma, Xuefei Ning, Dongrui Liu, Li Niu, Linfeng Zhang |
| 2025 | EMNLP | X-Boundary: Establishing Exact Safety Boundary to Shield LLMs from Jailbreak Attacks without Compromising Usability. | Xiaoya Lu, Dongrui Liu, Yi Yu, Luxin Xu, Jing Shao |
| 2025 | EMNLP | The LLM Already Knows: Estimating LLM-Perceived Question Difficulty via Hidden Representations. | Yubo Zhu, Dongrui Liu, Zecheng Lin, Wei Tong, Sheng Zhong, Jing Shao |
| 2025 | ICLR | REEF: Representation Encoding Fingerprints for Large Language Models. | Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao |
| 2024 | AAAI | Explaining Generalization Power of a DNN Using Interactive Concepts. | Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang |
| 2024 | ACL | Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models. | Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao |
| 2024 | ACL | Identifying Semantic Induction Heads to Understand In-Context Learning. | Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Quanshi Zhang, Xipeng Qiu, Dahua Lin |
| 2024 | CVPR | MLP Can Be a Good Transformer Learner. | Sihao Lin, Pumeng Lyu, Dongrui Liu, Tao Tang, Xiaodan Liang, Andy Song, Xiaojun Chang |
| 2022 | IGARSS | Point Clouds Downsampling Based on Complementary Attention and Contrastive Learning. | Chuanchuan Chen, Dongrui Liu, Changqing Xu |
| 2022 | IGARSS | PointFP: A Feature-Preserving Point Cloud Sampling. | Dongrui Liu, Chuanchuan Chen, Shiyun Liu, Zhengyun Jiang, Changqing Xu |
| 2022 | IGARSS | PFMixer: Point Cloud Frequency Mixing. | Dongrui Liu, Shiyun Liu, Chuanchuan Chen, Zhengyun Jiang, Changqing Xu |