Papers
What You See Is What You Reach: Towards Spatial Navigation with High-Level Human Instructions
Lingfeng Zhang, Haoxiang Fu, Xiaoshuai Hao et al.
When Equal Isn’t Fair: Mitigating Over-Normalization in Large Language Models (Student Abstract)
Ravada Satyadev, Aditya Ganesh Kumar, Avinash Anand et al.
When Eyes and Ears Disagree: Can MLLMs Discern Audio-Visual Confusion?
Qilang Ye, Wei Zeng, Meng Liu et al.
When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering
Jiangkai Long, Yanran Zhu, Chang Tang et al.
When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF
Yifan Xu, Xichen Ye, Yifan Chen et al.
When Instinct Guides and Insight Grounds: Staged RL Training for LLM Agents
Zijing Zhang, Boning Zhang
When Natural Strategies Meet Fuzziness and Resource-Bounded Actions
Marco Aruta, Francesco Improta, Vadim Malvone et al.
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 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 Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs’ Toxicity
Shiyao Cui, Xijia Feng, Yingkang Wang 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 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.
Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning
Ziyu Ma, Chenhui Gou, Yiming Hu et al.
Where It Moves, It Matters: Referring Surgical Instrument Segmentation via Motion
Meng Wei, Kun Yuan, Shi Li et al.
Where Norms and References Collide: Evaluating LLMs on Normative Reasoning
Mitchell Abrams, Kaveh Eskandari Miandoab, Felix Gervits et al.
Where to Start Alignment? Diffusion Large Language Model May Demand a Distinct Position
Zhixin Xie, Xurui Song, Jun Luo
Whispering Agents: A Event-Driven Covert Communication Protocol for the Internet of Agents
Kaibo Huang, Yukun Wei, WanshengWu et al.
Who Is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition
Yang Xi, Orelia Pi, Miaomiao Zhang et al.