Papers
When Do Language Models Endorse Limitations on Human Rights Principles?
Keenan Samway, Miu Nicole Takagi, Rada Mihalcea et al.
When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgents
Liang-Bo Ning, Yuchen Zhu, Heqing Huang et al.
When Efficiency Meets Safety: A Benchmark Security Analysis of KV Cache Compression in Large Language Models
Xiaoxiao Ma, Kuofeng Gao, Zeyi Lu 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 Flores Bloomz Wrong: Cross-Direction Contamination in Machine Translation Evaluation
David Tan, Pinzhen Chen, Josef Van Genabith et al.
When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering
Jiangkai Long, Yanran Zhu, Chang Tang et al.
When Good OCR Is Not Enough: Benchmarking OCR Robustness for Retrieval-Augmented Generation
Lin Sun, Wangdexian, Jingang Huang et al.
When High Accuracy Hides Poor Calibration: Rethinking Confidence Evaluation in Transformer-Based Text Classification with Balanced Brier Score
Guilherme Fonseca, Gabriel Prenassi, Washington Cunha et al.
When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF
Yifan Xu, Xichen Ye, Yifan Chen et al.
When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning
Hyeong Kyu Choi, Jerry Zhu, Sharon Li
When in Doubt, Consult: Expert Debate for Sexism Detection via Confidence-Based Routing
Anwar Alajmi, Gabriele Pergola
When Instinct Guides and Insight Grounds: Staged RL Training for LLM Agents
Zijing Zhang, Boning Zhang
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.