Papers
176,624 papers found
When Person Re-Identification Meets Event Camera: A Benchmark Dataset and an Attribute-Guided Re-Identification Framework
Xiao Wang, Qian Zhu, Shujuan Wu et al.
When Privacy Meets Recovery: The Overlooked Half of Surrogate-Driven Privacy Preservation for MLLM Editing
Siyuan Xu, Yibing Liu, Peilin Chen et al.
When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language Models
Zafir Shamsi, Nikhil Chekuru, Zachary Guzman et al.
When Proxy Agents Disagree, Do Humans Mirror? Manipulating Human Behavior in Moral Dilemmas Through Agents
Haotian Deng, Sitian Wang, Ruxin Wang et al.
When Reasoning Collapses: A Depth-Aware Probe into LLM Reasoning (Student Abstract)
Azka Ikramullah, Abdul Majeed, Kyunghyun Lee et al.
When Safe Unimodal Inputs Collide: Optimizing Reasoning Chains for Cross-Modal Safety in Multimodal Large Language Models
Wei Cai, Shujuan Liu, Jian Zhao et al.
When Seeing Is not Enough: Revealing the Limits of Active Reasoning in MLLMs
Hongcheng Liu, Pingjie Wang, Yuhao Wang et al.
When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language Models
Francesco Ortu, Zhijing Jin, Diego Doimo et al.
When Semantic Overlap Is Not Enough: Cross-Lingual Euphemism Transfer Between Turkish and English
Hasan Can Biyik, Libby Barak, Jing Peng et al.
When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs’ Toxicity
Shiyao Cui, Xijia Feng, Yingkang Wang et al.
When Speed Meets Intelligence: Scalable Conversational NER in an Ever-evolving World
Karim Ghonim, Antonio Roberto, Davide Bernardi
When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables
Shenghao Ye, Yu Guo, Dong Jin et al.
When the Domain Expert Has No Time and the LLM Developer Has No Clinical Expertise: Real-World Lessons from LLM Co-Design in a Safety-Net Hospital
Avni Kothari, Patrick Vossler, Jean Digitale et al.
When the Model Said ‘No Comment’, We Knew Helpfulness Was Dead, Honesty Was Alive, and Safety Was Terrified
Gautam Siddharth Kashyap, Mark Dras, Usman Naseem
When Top-ranked Recommendations Fail: Modeling Multi-Granular Negative Feedback for Explainable and Robust Video Recommendation
Siran Chen, Boyu Chen, Chenyun Yu et al.
When Trackers Date Fish: A Benchmark and Framework for Underwater Multiple Fish Tracking
Weiran Li, Yeqiang Liu, Qiannan Guo et al.
When Truth Is Overridden: Uncovering the Internal Origins of Sycophancy in Large Language Models
Keyu Wang, Jin Li, Shu Yang et al.
When Vision-Language Models Judge Without Seeing: Exposing Informativeness Bias
Xiaohan Zou, Roshan Sridhar, Mohammadtaher Safarzadeh et al.
When Words Wear Masks: Detecting Malicious Intents and Hostile Impacts of Online Hate Speech
Priyansh Singhal, Piyush Joshi
Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning
Ziyu Ma, Chenhui Gou, Yiming Hu et al.
Where and What: Reasoning Dynamic and Implicit Preferences in Situated Conversational Recommendation
Dongding Lin, Jian Wang, Yongqi Li et al.
Where Are We at with Automatic Speech Recognition for the Bambara Language?
Seydou Diallo, Yacouba Diarra, Panga Azazia Kamaté et al.
Where Do LLMs Compose Meaning? A Layerwise Analysis of Compositional Robustness
Nura Aljaafari, Danilo Carvalho, Andre Freitas
Where do LLMs currently stand on biomedical NER in both clean and noisy settings ?
Christophe Ye, Cassie S. Mitchell
Where is the Watermark? Interpretable Watermark Detection at the Block Level
Maria Bulychev, Neil G. Marchant, Benjamin I. P. Rubinstein