Papers
The Dog the Cat Chased Stumped the Model: Measuring When Language Models Abandon Structure for Shortcuts
Sangmitra Madhusudan, Kaige Chen, Ali Emami
If Probable, Then Acceptable? Understanding Conditional Acceptability Judgments in Large Language Models
Jasmin Orth, Philipp Mondorf, Barbara Plank
How Quantization Shapes Bias in Large Language Models
Federico Marcuzzi, Xuefei Ning, Roy Schwartz et al.
MULSUM: A Multimodal Summarization System with Vis-Aligner and Diversity-Aware Image Selection
Abid Ali, Diego Molla, Usman Naseem
H-MEM: Hierarchical Memory for High-Efficiency Long-Term Reasoning in LLM Agents
Haoran Sun, Shaoning Zeng, Bob Zhang
Do Political Opinions Transfer Between Western Languages? An Analysis of Unaligned and Aligned Multilingual LLMs
Franziska Weeber, Tanise Ceron, Sebastian Padó
Out of Style: RAG’s Fragility to Linguistic Variation
Tianyu Cao, Neel Bhandari, Akhila Yerukola et al.
Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models
Sarah Ball, Frauke Kreuter, Nina Panickssery
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning
Chengsong Huang, Langlin Huang, Jiaxin Huang
Hierarchical Text Classification with LLM-Refined Taxonomies
Jonas Golde, Nicolaas Paul Jedema, RaviKiran Krishnan et al.
The Pragmatic Mind of Machines: Tracing the Emergence of Pragmatic Competence in Large Language Models
Kefan Yu, Qingcheng Zeng, Weihao Xuan et al.
T2-RAGBench: Text-and-Table Benchmark for Evaluating Retrieval-Augmented Generation
Jan Strich, Enes Kutay Isgorur, Maximilian Trescher et al.
Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data Synthesis
Shuhaib Mehri, Xiusi Chen, Heng Ji et al.
SCoPE VLM: Selective Context Processing for Efficient Document Navigation in Vision-Language Models
Gyubeum Lim, Yemo Koo, Vijay Krishna Madisetti
GRITHopper: Decomposition-Free Multi-Hop Dense Retrieval
Justus-Jonas Erker, Nils Reimers, Iryna Gurevych
Early-Exit and Instant Confidence Translation Quality Estimation
Vilém Zouhar, Maike Züfle, Beni Egressy et al.
Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?
Jingwei Ni, Yu Fan, Vilém Zouhar et al.
Teams of LLM Agents can Exploit Zero-Day Vulnerabilities
Yuxuan Zhu, Antony Kellermann, Akul Gupta et al.
LM-Lexicon: Improving Definition Modeling via Harmonizing Semantic Experts
Yang Liu, Jiaye Yang, Weikang Li et al.
No MoCap Needed: Post-Training Motion Diffusion Models with Reinforcement Learning using Only Textual Prompts
Macaluso Girolamo, Mandelli Lorenzo, Mirko Bicchierai et al.
HyPCA-Net: Advancing Multimodal Fusion in Medical Image Analysis
Joy Dhar, Manish Kumar Pandey, Debashis Das Chakladar et al.
Unlocking Vision-Language Models for Video Anomaly Detection via Fine-Grained Prompting
Shu Zou, Xinyu Tian, Lukas Wesemann et al.
T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation
Yubin Chen, Xuyang Guo, Zhenmei Shi et al.
DODA: Adapting Object Detectors to Dynamic Agricultural Environments in Real-Time with Diffusion
Shuai Xiang, Pieter M. Blok, James Burridge et al.
PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection
Po-Han Huang, Jeng-Lin Li, Po-Hsuan Huang et al.