Papers
SEAL: Structure and Element Aware Learning Improves Long Structured Document Retrieval
Xinhao Huang, Zhibo Ren, Yipeng Yu et al.
The Psychology of Falsehood: A Human-Centric Survey of Misinformation Detection
Arghodeep Nandi, Megha Sundriyal, Euna Mehnaz Khan et al.
Self-Critique and Refinement for Faithful Natural Language Explanations
Yingming Wang, Pepa Atanasova
When Annotators Disagree, Topology Explains: Mapper, a Topological Tool for Exploring Text Embedding Geometry and Ambiguity
Nisrine Rair, Alban Goupil, Valeriu Vrabie et al.
Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study
Yizheng Sun, Hao Li, Chang Xu et al.
ConsistentChat: Building Skeleton-Guided Consistent Multi-Turn Dialogues for Large Language Models from Scratch
Jiawei Chen, Xinyan Guan, Qianhao Yuan et al.
Robust Native Language Identification through Agentic Decomposition
Ahmet Yavuz Uluslu, Tannon Kew, Tilia Ellendorff et al.
X-FLoRA: Cross-modal Federated Learning with Modality-expert LoRA for Medical VQA
Min Hyuk Kim, Changheon Kim, Seok Bong Yoo
Variance Sensitivity Induces Attention Entropy Collapse and Instability in Transformers
Jonghyun Hong, Sungyoon Lee
A Middle Path for On-Premises LLM Deployment: Preserving Privacy Without Sacrificing Model Confidentiality
Hanbo Huang, Yihan Li, Bowen Jiang et al.
Alignment with Fill-In-the-Middle for Enhancing Code Generation
Houxing Ren, Zimu Lu, Weikang Shi et al.
A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages
Tatiana Anikina, Jan Cegin, Jakub Simko et al.
AbsVis – Benchmarking How Humans and Vision-Language Models “See” Abstract Concepts in Images
Tarun Tater, Diego Frassinelli, Sabine Schulte im Walde
Uncovering Argumentative Flow: A Question-Focus Discourse Structuring Framework
Yini Wang, Xian Zhou, Shengan Zheng et al.
Large Language Models Discriminate Against Speakers of German Dialects
Minh Duc Bui, Carolin Holtermann, Valentin Hofmann et al.
RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation
Andrei C. Coman, Ionut-Teodor Sorodoc, Leonardo F. R. Ribeiro et al.
Mining the Past with Dual Criteria: Integrating Three types of Historical Information for Context-aware Event Forecasting
Rong Ma, Lei Wang, Yating Yang et al.
NILE: Internal Consistency Alignment in Large Language Models
Minda Hu, Qiyuan Zhang, Yufei Wang et al.
Probing for Arithmetic Errors in Language Models
Yucheng Sun, Alessandro Stolfo, Mrinmaya Sachan
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation
Qingyao Li, Wei Xia, Xinyi Dai et al.
ToDi: Token-wise Distillation via Fine-Grained Divergence Control
Seongryong Jung, Suwan Yoon, DongGeon Kim et al.
MLWQ: Efficient Small Language Model Deployment via Multi-Level Weight Quantization
Chun Hu, Junhui He, Shangyu Wu et al.
Cross-domain Rumor Detection via Test-Time Adaptation and Large Language Models
Yuxia Gong, Shuguo Hu, Huaiwen Zhang
Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment
Hao Li, Lijun Li, Zhenghao Lu et al.
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning
Ziqing Qiao, Yongheng Deng, Jiali Zeng et al.