Papers
Discrete Minds in a Continuous World: Do Language Models Know Time Passes?
Minghan Wang, Ye Bai, Thuy-Trang Vu et al.
Discriminating Form and Meaning in Multilingual Models with Minimal-Pair ABX Tasks
Maureen de Seyssel, Jie Chi, Skyler Seto et al.
Discursive Circuits: How Do Language Models Understand Discourse Relations?
Yisong Miao, Min-Yen Kan
DisCuT and DiscReT: MELODI at DISRPT 2025 Multilingual discourse segmentation, connective tagging and relation classification
Robin Pujol, Firmin Rousseau, Philippe Muller et al.
Disentangled Information Bottleneck for Adversarial Text Defense
Yidan Xu, Xinghao Yang, Wei Liu et al.
Disentangling Language Understanding and Reasoning Structures in Cross-lingual Chain-of-Thought Prompting
Khanh-Tung Tran, Nguyet-Hang Vu, Barry O’Sullivan et al.
Disentangling Mathematical Reasoning in LLMs: A Methodological Investigation of Internal Mechanisms
Tanja Baeumel, Josef van Genabith, Simon Ostermann
Disentangling Subjectivity and Uncertainty for Hate Speech Annotation and Modeling using Gaze
Özge Alacam, Sanne Hoeken, Andreas Säuberli et al.
DisLoRA: Task-specific Low-Rank Adaptation via Orthogonal Basis from Singular Value Decomposition
She Yifei, Xinhao Wei, Yulong Wang
DispatchQA: A Benchmark for Small Function Calling Language Models in E-Commerce Applications
Joachim Daiber, Victor Maricato, Ayan Sinha et al.
Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study
Yujun Zhou, Jiayi Ye, Zipeng Ling et al.
Dissecting Persona-Driven Reasoning in Language Models via Activation Patching
Ansh Poonia, Maeghal Jain
DistaLs: a Comprehensive Collection of Language Distance Measures
Rob Van Der Goot, Esther Ploeger, Verena Blaschke et al.
Distilling Cross-Modal Knowledge into Domain-Specific Retrievers for Enhanced Industrial Document Understanding
Jinhyeong Lim, Jeongwan Shin, Seeun Lee et al.
Distilling Many-Shot In-Context Learning into a Cheat Sheet
Ukyo Honda, Soichiro Murakami, Peinan Zhang
Distill Visual Chart Reasoning Ability from LLMs to MLLMs
Wei He, Zhiheng Xi, Wanxu Zhao et al.
Distinguishing fair from unfair compositional generalization tasks
Ahmad Jabbar, Cleo Condoravdi, Christopher Potts
Distributed LLM Serving on Consumer-Grade GPUs by Reconciling Computation and Communication
Lewei Jin, Kui Zhang, Yongqi Chen et al.
Distributional Surgery for Language Model Activations
Bao Nguyen, Binh Nguyen, Duy Nguyen et al.
Distribution Prompting: Understanding the Expressivity of Language Models Through the Next-Token Distributions They Can Produce
Haojin Wang, Zining Zhu, Freda Shi
Diverse Multi-tool Aggregation with Large Language Models for Enhanced Math Reasoning
Bohan Yao, Vikas Yadav
Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Models
Vijeta Deshpande, Debasmita Ghose, John D Patterson et al.
Divide, Link, and Conquer: Recall-oriented Schema Linking for NL-to-SQL via Question Decomposition
Kiran Pradeep, Kirushikesh Db, Nishtha Madaan et al.
Divide, Optimize, Merge: Scalable Fine-Grained Generative Optimization for LLM Agents
Jiale Liu, Yifan Zeng, Shaokun Zhang et al.
Diving into Mitigating Hallucinations from a Vision Perspective for Large Vision-Language Models
Weihang Wang, Xinhao Li, Ziyue Wang et al.