Papers
UERLens: Understanding Event Relations in Large Language Models
Yong Guan, Zhiyuan Li, Shaoru Guo
DIXITWORLD: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit Gameplay
Yunxiang MO, Tianshi Zheng, Qing Zong et al.
Calibrated? Not for Everyone: How Sexual Orientation and Religious Markers Distort LLM Accuracy and Confidence in Medical QA
Alberto Testoni, Iacer Calixto
Selective Span-Level Unlearning for Large Language Models
Chaewon Yoon, Dongjun Kim, Hyun-Je Song
When More Words Say Less: Decoupling Length and Specificity in Image Description Evaluation
Rhea Kapur, Robert D. Hawkins, Elisa Kreiss
Reliable Evaluation Protocol for Low-Precision Retrieval
Kisu Yang, Yoonna Jang, Hwanseok Jang et al.
From Narrow Unlearning to Emergent Misalignment in LLMs
Erum Mushtaq, Anil Ramakrishna, Satyapriya Krishna et al.
Luring as a Proxy: Evaluating Corpus Transferability for Cybergrooming Detection
Shiying Fan, Mareike Bassenge, Martin Steinebach
CheckMIABench: Firm Foundations For Membership Inference Attacks on Language Models
Jeffrey George Wang, Jason Wang, Marvin Li et al.
Translation or Recitation? Calibrating Evaluation Scores for Machine Translation of Extremely Low-Resource Languages
Danlu Chen, Ka Sing He, Jiahe Tian et al.
Rethinking Data Mixing from the Perspective of Large Language Models
Yuanjian Xu, Tianze Sun, Changwei Xu et al.
Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning Tasks
Atsuki Yamaguchi, Maggie Mi, Nikolaos Aletras
Privacy-preserving Prosody Representation Learning
Kevin Everson, Mari Ostendorf
Prefix Parsing is Just Parsing
Clemente Pasti, Andreas Opedal, Timothy J. O’Donnell et al.
MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report Generation
Yi Lin, Yihao Ding, Yonghui Wu et al.
Test-Time Reasoners Are Strategic Multiple-Choice Test-Takers
Nishant Balepur, Atrey Desai, Rachel Rudinger
ReproEvalCard: A Reporting Standard for Reproducible Evaluation of LLM Pipelines
Priyaranjan Pattnayak, Apoorv Bhatia
Attention Under Attack: Analog Noise Effects and Mechanistic Vulnerabilities in Transformer Models
Mafizur Rahman, Lijun Qian
Reliable Use of Lemmas via Eligibility Reasoning and Section-Aware Reinforcement Learning
Zhikun Xu, Xiaodong Yu, Ben Zhou et al.
Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data
Zhenwen Liang, Yujun Zhou, Sidi Lu et al.
Evolutionary Strategies at Scale lead to Catastrophic Forgetting
Immanuel Abdi, Akshat Gupta, Micah Mok et al.
LLMs Underperform Graph-Based Parsers on Supervised Relation Extraction for Complex Graphs
Paolo Gajo, Domenic Rosati, Hassan Sajjad et al.
Anchoring Depends on Confidence and Post-Training in Language Models
Hillary N. Owusu, Naomi H. Feldman
Deep Kernel Fusion for Transformers
Zixi Zhang, Zhiwen Mo, Yiren Zhao et al.
Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization
Gongbo Zhang, Yifan Peng, Chunhua Weng