Papers
WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models
Rui Wang, Ce Zhang, Jun-Yu Ma et al.
WebClipper: Efficient Evolution of Web Agents with Graph-based Trajectory Pruning
Junjie Wang, Zequn Xie, Dan Yang et al.
WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation Metrics
Chenxu Liu, Yingjie Fu, Wei Yang et al.
WebNovelBench: Placing LLM Novelists on the Web Novel Distribution
Liangtao Lin, Jun Zheng, Haidong Wang
WebRollback: Enhancing Web Agents with Explicit Rollback Mechanisms
Zhisong Zhang, Tianqing Fang, Kaixin Ma et al.
WebSTAR: Scalable Data Synthesis for Computer Use Agents with Step-Level Filtering
Yifei He, Pranit Chawla, Yaser Souri et al.
WebSynthesis: World Model-Guided Monte Carlo Tree Search for Efficient WebAgent Trajectory Synthesis
Yifei Gao, Junhong Ye, Yifan Yang et al.
Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract)
Gouranga Bala, Abhimanyu Chauhan, Amit Sethi
WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network
Ruikun Li, Jiazhen Liu, Huandong Wang et al.
WeightLoRA: Keep Only Necessary Adapters
Andrey Veprikov, Vladimir Solodkin, Zyl Alexander et al.
Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models
Chun Kit Wong, Paraskevas Pegios, Nina Weng et al.
Well Begun, Half Done: Reinforcement Learning with Prefix Optimization for LLM Reasoning
Yiliu Sun, Zicheng Zhao, Yang Wei et al.
WenetSpeech-Yue: A Large-Scale Cantonese Speech Corpus with Multi-dimensional Annotation
Longhao Li, Zhao Guo, Hongjie Chen et al.
WFM: 3D Wavelet Flow Matching for Ultrafast Multi-Modal MRI Synthesis
Yalcin Tur, Mihajlo Stojkovic, Ulas Bagci
What About the Scene With the Hitler Reference? HAUNT: A Framework to Probe LLMs’ Self-consistency in Closed Domains Via Adversarial Nudge
Arka Dutta, Sujan Dutta, Rijul Magu et al.
What Are They Filtering Out? An Experimental Benchmark of Filtering Strategies for Harm Reduction in Pretraining Datasets
Marco Antonio Stranisci, Christian Hardmeier
What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete Knowledge
Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang et al.
What Deserves Memory: Adaptive Memory Distillation for LLM Agents
Wenquan Ma, Jiayan Nan, WenLong Wu
‘What Do Children Think About AI?’: Insights and Educational Implications from Primary School Students’ Perceptions of AI
Maria Kasinidou, Styliani Kleanthous, Jahna Otterbacher
What Does Infect Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs
Xinlan Yan, Di Wu, Yibin Lei et al.
What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation
Shaomu Tan, Dawei Zhu, Ke Tran et al.
What does Surprisal have to do with Information Status?
Andrew Thomas Dyer
What Do LLMs Learn First? Asymmetric Learning Dynamics of Input Complexity and Output Ambiguity in Preference Alignment
Mengyang Li, Jingwen Wang, Pinlong Zhao
What Do Prosody and Text Convey? Characterizing How Meaningful Information is Distributed Across Multiple Channels
Aditya Yadavalli, Tiago Pimentel, Tamar I Regev et al.
What Fine-Tuning Changes: A Radiomic Lens on Prostate Foundation Model Representations
Yipei Wang, Yaxi Chen, Wen Yan et al.