2025 Papers
21,856 papers found • Page 430 of 438
What Are Good Positional Encodings for Directed Graphs?
Yinan Huang, Haoyu Wang, Pan Li
What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning
Yiran Ma, Zui Chen, Tianqiao Liu et al.
What are you sinking? A geometric approach on attention sink
Valeria Ruscio, Umberto Nanni, Fabrizio Silvestri
What can large language models do for sustainable food?
Anna Thomas, Adam Yee, Andrew Mayne et al.
What Can RL Bring to VLA Generalization? An Empirical Study
Jijia Liu, Feng Gao, Bingwen Wei et al.
What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning
Chi-Hsi Kung, Frangil Ramirez, Juhyung Ha et al.
What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Models
Lorenzo Baraldi, Davide Bucciarelli, Federico Betti et al.
What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization
Omar Bennouna, Amine Bennouna, Saurabh Amin et al.
What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis
Weronika Ormaniec, Felix Dangel, Sidak Pal Singh
What Does It Take to Build a Performant Selective Classifier?
Stephan Rabanser, Nicolas Papernot
What Do Latent Action Models Actually Learn?
Chuheng Zhang, Tim Pearce, Pushi Zhang et al.
What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning?
Katie Kang, Amrith Setlur, Dibya Ghosh et al.
What do you know? Bayesian knowledge inference for navigating agents
Matthias Schultheis, Jana-Sophie Schönfeld, Constantin Rothkopf et al.
What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits
Harish Babu Manogaran, M. Maruf, Arka Daw et al.
What Expressivity Theory Misses: Message Passing Complexity for GNNs
Niklas Kemper, Tom Wollschläger, Stephan Günnemann
What Happens During the Loss Plateau? Understanding Abrupt Learning in Transformers
Pulkit Gopalani, Wei Hu
What Has a Foundation Model Found? Inductive Bias Reveals World Models
Keyon Vafa, Peter Chang, Ashesh Rambachan et al.
What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context
JING WANG, Wonho Bae, Jiahong Chen et al.
What If: Understanding Motion Through Sparse Interactions
Stefan A. Baumann, Nick Stracke, Timy Phan et al.
What if Virtual Agents Had Scents? Users' Judgments of Virtual Agent Personality and Appeals in Encounters
Dongyun Han, Siyeon Bak, So-Hui Kim et al.
What If We Recaption Billions of Web Images with LLaMA-3?
Xianhang Li, Haoqin Tu, Mude Hui et al.
What Is a Good Question? Assessing Question Quality via Meta-Fact Checking
Bo Zhang, Jianghua Zhu, Chaozhuo Li et al.
What is Wrong with Perplexity for Long-context Language Modeling?
Lizhe Fang, Yifei Wang, Zhaoyang Liu et al.
What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions
Sang Choe, Hwijeen Ahn, Juhan Bae et al.
What Kind of Visual Tokens Do We Need? Training-Free Visual Token Pruning for Multi-Modal Large Language Models from the Perspective of Graph
Yutao Jiang, Qiong Wu, Wenhao Lin et al.
What Limits Bidirectional Model's Generative Capabilities? A Uni-Bi-Directional Mixture-of-Expert Method For Bidirectional Fine-tuning
Zuchao Li, Yonghua Hei, Qiwei Li et al.
What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities
Wendong Bu, Yang Wu, Qifan Yu et al.
What Makes a Good Dataset for Knowledge Distillation?
Logan Frank, Jim Davis
What Makes a Good Diffusion Planner for Decision Making?
Haofei Lu, Dongqi Han, Yifei Shen et al.
What Makes a Good Feedforward Computational Graph?
Alex Vitvitskyi, João Madeira Araujo, Marc Lackenby et al.
What Makes a Maze Look Like a Maze?
Joy Hsu, Jiayuan Mao, Joshua B Tenenbaum et al.
What makes an Ensemble (Un) Interpretable?
Shahaf Bassan, Guy Amir, Meirav Zehavi et al.
What Makes a Reward Model a Good Teacher? An Optimization Perspective
Noam Razin, Zixuan Wang, Hubert Strauss et al.
What Makes for Text to 360-degree Panorama Generation with Stable Diffusion?
Jinhong Ni, Chang-Bin Zhang, Qiang Zhang et al.
What Makes In-context Learning Effective for Mathematical Reasoning
Jiayu Liu, Zhenya Huang, Chaokun Wang et al.
What Makes Large Language Models Reason in (Multi-Turn) Code Generation?
Kunhao Zheng, Juliette Decugis, Jonas Gehring et al.
WHAT MAKES MATH PROBLEMS HARD FOR REINFORCEMENT LEARNING: A CASE STUDY
Ali Shehper, Anibal Medina-Mardones, Lucas Fagan et al.
What Makes Object Referencing Clear? Multimodal Strategies for Shared Understanding in XR Collaboration
Jeonghyeon Kim, Jemin Lee, Youngwon Kim
What Matters in Data for DPO?
Yu Pan, Zhongze Cai, Huaiyang Zhong et al.
What Matters in Learning from Large-Scale Datasets for Robot Manipulation
Vaibhav Saxena, Matthew Bronars, Nadun Ranawaka Arachchige et al.
What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?
Guangkai Xu, yongtao ge, Mingyu Liu et al.
What Moves the Eyes: Doubling Mechanistic Model Performance Using Deep Networks to Discover and Test Cognitive Hypotheses
Federico D'Agostino, Lisa Schwetlick, Matthias Bethge et al.
What One Cannot, Two Can: Two-Layer Transformers Provably Represent Induction Heads on Any-Order Markov Chains
Chanakya Ekbote, Ashok Vardhan Makkuva, Marco Bondaschi et al.
What Really is a Member? Discrediting Membership Inference via Poisoning
Neal Mangaokar, Ashish Hooda, Zhuohang Li et al.
What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models
Ahmed Imtiaz Humayun, Ibtihel Amara, Cristina Nader Vasconcelos et al.
What should a neuron aim for? Designing local objective functions based on information theory
Andreas C. Schneider, Valentin Neuhaus, David Ehrlich et al.
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
Xavier Thomas, Deepti Ghadiyaram
What’s in Common? Multimodal Models Hallucinate When Reasoning Across Scenes
Candace Ross, Florian Bordes, Adina Williams et al.
What’s in the Image? A Deep-Dive into the Vision of Vision Language Models
Omri Kaduri, Shai Bagon, Tali Dekel
What's Making That Sound Right Now? Video-centric Audio-Visual Localization
hahyeon choi, Junhoo Lee, Nojun Kwak