Papers
VoxMind: An End-to-End Agentic Spoken Dialogue System
Tianle Liang, Yifu Chen, Shengpeng Ji et al.
VOYAGER: A Training Free Approach for Generating Diverse Datasets using LLMs
Avinash Amballa, Yashas Malur Saidutta, Chi-Heng Lin et al.
VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training
Dingwei Zhu, Shihan Dou, Zhiheng Xi et al.
Wait! There’s a Way Out: A Decision Mechanism for Forecasting Conversational Derailment
Laerdon Kim, Vivian Nguyen, Cristian Danescu-Niculescu-Mizil
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.
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.
WeightLoRA: Keep Only Necessary Adapters
Andrey Veprikov, Vladimir Solodkin, Zyl Alexander et al.
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 Deserves Memory: Adaptive Memory Distillation for LLM Agents
Wenquan Ma, Jiayan Nan, WenLong Wu
What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation
Shaomu Tan, Dawei Zhu, Ke Tran et al.
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 If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time
Dong Yan, Jian Liang, Yanbo Wang et al.
What is a protest anyway? Codebook conceptualization is still a first-order concern in LLM-era classification
Andrew Halterman, Katherine A. Keith
What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical Reasoning
Yaning Jia, Chunhui Zhang, Xingjian Diao et al.
What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge Representations
Yujie Luo, Zhuoyun Yu, Xuehai Wang et al.
What Makes an Ideal Quote? Recommending “Unexpected yet Rational” Quotations via Novelty
Powei Chang, Jin Xiao, Guanglei Yue et al.
What Makes Good Instruction-Tuning Data? An In-Context Learning Perspective
Guangzeng Han, Xiaolei Huang
What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context
Zhongyu Ouyang, Qianlong Wen, Chunhui Zhang et al.
What Question Did You Answer? Refining Contact Center Evaluation Plans via Backward Questions
Prajwal Sood, Rushikesh Pawar, Digvijay Anil Ingle et al.
What’s Left Unsaid? Detecting and Correcting Misleading Omissions in Multimodal News Previews
Fanxiao Li, Jiaying Wu, Tingchao Fu et al.