Papers
Tracing Multilingual Knowledge Acquisition Dynamics in Domain Adaptation: A Case Study of Biomedical Adaptation
Xin Zhao, Naoki Yoshinaga, Yuma Tsuta et al.
Steering Safely or Off a Cliff? Rethinking Specificity and Robustness in Inference-Time Interventions
Navita Goyal, Hal Daumé Iii
KidsArtBench: Multi-Dimensional Children’s Art Evaluation with Attribute-Aware MLLMs
Mingrui Ye, Chanjin Zheng, Zengyi Yu et al.
What’s Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning
Zhaotian Weng, Haoxuan Li, Xin Eric Wang et al.
ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document Images
Mathieu Sibue, Andrés Muñoz Garza, Samuel Mensah et al.
Beyond Names: How Grammatical Gender Markers Bias LLM-based Educational Recommendations
Luca Benedetto, Antonia Donvito, Alberto Lucchetti et al.
Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data
Paul Quinlan, Qingguo Li, Xiaodan Zhu
Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis
Disha Makhija, Manoj Ghuhan Arivazhagan, Vinayshekhar Bannihatti Kumar et al.
Beyond Math: Stories as a Testbed for Memorization-Constrained Reasoning in LLMs
Yuxuan Jiang, Francis Ferraro
Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs
Alireza Dehghanpour Farashah, Aditi Khandelwal, Marylou Fauchard et al.
RotBench: Evaluating Multi-modal Large Language Models on Identifying Image Rotation
Tianyi Niu, Jaemin Cho, Elias Stengel-Eskin et al.
RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets
Jan Cegin, Branislav Pecher, Ivan Srba et al.
Lost in Formatting: How Output Formats Skew LLM Performance on Information Extraction
Rishi Ravikumar, Nuhu Ibrahim, Riza Batista-Navarro
An Empirical Study of Speculative Decoding for Small Language Models
Luca Mainardi, Selcuk Sandikci, Joaquin Vanschoren
ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers
Saptarshi Sengupta, Zhengyu Zhou, Jun Araki et al.
DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning
Nithin Sivakumaran, Justin Chen, David Wan et al.
Taming Object Hallucinations with Verified Atomic Confidence Estimation
Jiarui Liu, Weihao Xuan, Zhijing Jin et al.
Detecting Non-Membership in LLM Training Data via Rank Correlations
Pranav Shetty, Mirazul Haque, Zhiqiang Ma et al.
Bridging Attribution and Open-Set Detection using Graph-Augmented Instance Learning in Synthetic Speech
Mohd Mujtaba Akhtar, Girish, Farhan Sheth et al.
Biasless Language Models Learn Unnaturally: How LLMs Fail to Distinguish the Possible from the Impossible
Imry Ziv, Nur Lan, Emmanuel Chemla
DIVINE : Coordinating Multimodal Disentangled Representations for Oro-Facial Neurological Disorder Assessment
Mohd Mujtaba Akhtar, Girish, Muskaan Singh
CliniBench: A Clinical Outcome Prediction Benchmark for Generative and Encoder-Based Language Models
Paul Grundmann, Jan Frick, Dennis Fast et al.
Persistent Personas? Role-Playing, Instruction Following, and Safety in Extended Interactions
Pedro Henrique Luz de Araujo, Michael A. Hedderich, Ali Modarressi et al.
Detecting Latin in Historical Books with Large Language Models: A Multimodal Benchmark
Yu Wu, Ke Shu, Jonas Fischer et al.