Papers
When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient Reasoning
Yang Xiang, Yixin Ji, Ruotao Xu et al.
When KV Cache Reuse Fails in Multi-Agent Systems: Cross-Candidate Interaction is Crucial for LLM Judges
Sichu Liang, Zhenglin Wang, Chujiajia et al.
When LLMs Annotate: Reliability Challenges in Low-Resource NLI
Solmaz Panahi, John Kelleher, Vasudevan Nedumpozhimana
When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors
Yuqing Yang, Qi Zhu, Zhen Han et al.
When Meanings Meet: Investigating the Emergence and Quality of Shared Concept Spaces during Multilingual Language Model Training
Felicia Körner, Max Müller-Eberstein, Anna Korhonen et al.
When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platforms
Chaewan Chun, Delvin Ce Zhang, Dongwon Lee
When Models Hesitate: Answer Instability as a Label-Free Uncertainty Signal for LLMs
Jasper Meynard Arana, Kristine Ann M. Carandang, Ethan Robert Casin et al.
When More Words Say Less: Decoupling Length and Specificity in Image Description Evaluation
Rhea Kapur, Robert D. Hawkins, Elisa Kreiss
When Morphology Hides in Plain Sight: Breaking the Isolation in Vietnamese and Beyond
Anh Trac Duc Dinh, Khang Hoang Nhat Vo, Tai Tien Ta et al.
When Multilingual Evaluation Assumptions Fail: Tokenization Effects Across Scripts
Manodyna K H, Luc De Nardi
When Natural Strategies Meet Fuzziness and Resource-Bounded Actions
Marco Aruta, Francesco Improta, Vadim Malvone et al.
When One LLM Drools, Multi-LLM Collaboration Rules
Shangbin Feng, Wenxuan Ding, Alisa Liu et al.
When Personalization Legitimizes Risks: Uncovering Safety Vulnerabilities in Personalized Dialogue Agents
Jiahe Guo, Xiangran Guo, Yulin Hu et al.
When Personalization Tricks Detectors: The Feature-Inversion Trap in Machine-Generated Text Detection
Lang Gao, Xuhui Li, Chenxi Wang 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 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