Yida Lu

According to our database, Yida Lu authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

Survive at All Costs: Exploring LLM's Risky Behaviors under Survival Pressure.

Yida Lu, Jianwei Fang, Xuyang Shao, Zixuan Chen, Shiyao Cui, Shanshan Bian, Guangyao Su, Pei Ke, Han Qiu, Minlie Huang

CoRR, March, 2026

The Missing Half: Unveiling Training-time Implicit Safety Risks Beyond Deployment.

Zhexin Zhang, Yida Lu, Junfeng Fang, Junxiao Yang, Shiyao Cui, Hao Zhou, Fandong Meng, Jie Zhou, Hongning Wang, Minlie Huang, Tat-Seng Chua

CoRR, February, 2026

The Side Effects of Being Smart: Safety Risks in MLLMs' Multi-Image Reasoning.

Renmiao Chen, Yida Lu, Shiyao Cui, Xuan Ouyang, Victor Shea-Jay Huang, Shumin Zhang, Chengwei Pan, Han Qiu, Minlie Huang

CoRR, January, 2026

2025

ShieldVLM: Safeguarding the Multimodal Implicit Toxicity via Deliberative Reasoning with LVLMs.

Shiyao Cui, Qinglin Zhang, Xuan Ouyang, Renmiao Chen, Zhexin Zhang, Yida Lu, Hongning Wang, Han Qiu, Minlie Huang

CoRR, May, 2025

AISafetyLab: A Comprehensive Framework for AI Safety Evaluation and Improvement.

Zhexin Zhang, Leqi Lei, Junxiao Yang, Xijie Huang, Yida Lu, Shiyao Cui, Renmiao Chen, Qinglin Zhang, Xinyuan Wang, Hao Wang, Hao Li, Xianqi Lei, Chengwei Pan, Lei Sha, Hongning Wang, Minlie Huang

CoRR, February, 2025

ShieldVLM: Safeguarding the Multimodal Implicit Toxicity via Deliberative Reasoning with LVLMs: ShieldVLM.

Shiyao Cui, Qinglin Zhang, Xuan Ouyang, Renmiao Chen, Zhexin Zhang, Yida Lu, Hongning Wang, Han Qiu, Minlie Huang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models.

Jiale Cheng, Xiao Liu, Cunxiang Wang, Xiaotao Gu, Yida Lu, Dan Zhang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VPO: Aligning Text-to-Video Generation Models with Prompt Optimization.

Jiale Cheng, Ruiliang Lyu, Xiaotao Gu, Xiao Liu, Jiazheng Xu, Yida Lu, Jiayan Teng, Zhuoyi Yang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

LongSafety: Evaluating Long-Context Safety of Large Language Models.

Yida Lu, Jiale Cheng, Zhexin Zhang, Shiyao Cui, Cunxiang Wang, Xiaotao Gu, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang

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

2024

Agent-SafetyBench: Evaluating the Safety of LLM Agents.

Zhexin Zhang, Shiyao Cui, Yida Lu, Jingzhuo Zhou, Junxiao Yang, Hongning Wang, Minlie Huang

CoRR, 2024

Global Challenge for Safe and Secure LLMs Track 1.

Xiaojun Jia, Yihao Huang, Yang Liu, Peng Yan Tan, Weng Kuan Yau, Mun-Thye Mak, Xin Ming Sim, Wee Siong Ng, See-Kiong Ng, Hanqing Liu, Lifeng Zhou, Huanqian Yan, Xiaobing Sun, Wei Liu, Long Wang, Yiming Qian, Yong Liu, Junxiao Yang, Zhexin Zhang, Leqi Lei, Renmiao Chen, Yida Lu, Shiyao Cui, Zizhou Wang, Shaohua Li, Yan Wang, Rick Siow Mong Goh, Liangli Zhen, Yingjie Zhang, Zhe Zhao

CoRR, 2024

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors.

Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang

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

AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models.

Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang

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

2023

Rethinking Dense Retrieval's Few-Shot Ability.

Si Sun, Yida Lu, Shi Yu, Xiangyang Li, Zhonghua Li, Zhao Cao, Zhiyuan Liu, Deiming Ye, Jie Bao

CoRR, 2023