Papers
ShoppingBench: A Real-World Intent-Grounded Shopping Benchmark for LLM-based Agents
Jiangyuan Wang, Kejun Xiao, Qi Sun et al.
TTA-Bench: A Comprehensive Benchmark for Evaluating Text-to-Audio Models
Hui Wang, Cheng Liu, Junyang Chen et al.
A General Highly Accurate Online Planning Method Integrating Large Language Models into Nested Rollout Policy Adaptation for Dialogue Tasks
Hui Wang, Fafa Zhang, Xiaoyu Zhang et al.
Bridging the Tokenizer Gap: Semantics and Distribution-aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation
Huazheng Wang, Yongcheng Jing, Haifeng Sun et al.
Enhancing Stability and Fidelity for Zero-Shot TTS with a Multi-Level Evaluator
Hualei Wang, Na Li, Chuke Wang et al.
USE: A Unified Model for Universal Sound Separation and Extraction
Hongyu Wang, Chenda Li, Xin Zhou et al.
Improving Implicit Discourse Relation Recognition with Natural Language Explanations from LLMs
Heng Wang, Changxing Wu
RPTS: Tree-Structured Reasoning Process Scoring for Faithful Multimodal Evaluation
Haofeng Wang, Yu Zhang
SDEval: Safety Dynamic Evaluation for Multimodal Large Language Models
Hanqing Wang, Yuan Tian, Mingyu Liu et al.
Speech Recognition Model Improves Text-to-Speech Synthesis Using Fine-Grained Reward
Guansu Wang, Peijie Sun
Rethinking Flow and Diffusion Bridge Models for Speech Enhancement
Dahan Wang, Jun Gao, Tong Lei et al.
Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following
Chenyang Wang, Liang Wen, Shousheng Jia et al.
ICL-Router: In-Context Learned Model Representations for LLM Routing
Chenxu Wang, Hao Li, Yiqun Zhang et al.
Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models
Chenglong Wang, Yifu Huo, Yang Gan et al.
GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning
Chenglong Wang, Yongyu Mu, Hang Zhou et al.
Re-SpS: A Reinforcement Learning Approach to Speculative Sampling
Chenan Wang, Daniel H. Shi, Haipeng Chen
Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning Models
Changyue Wang, Weihang Su, Qingyao Ai et al.
Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering
Changjian Wang, Weihong Deng, Weili Guan et al.
Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models
Bo Wang, Junzhuo Li, Hong Chen et al.
Beyond Passive Critical Thinking: Fostering Proactive Questioning to Enhance Human-AI Collaboration
Ante Wang, Yujie Lin, Jingyao Liu et al.
Deep Research Arena: The First Exam of LLMs’ Research Abilities via Seminar-Grounded Tasks
Haiyuan Wan, Chen Yang, Junchi Yu et al.
MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models
Hoang Tran Vuong, Tue Le, Quyen Tran et al.
PRAGWORLD: A Benchmark Evaluating LLMs’ Local World Model Under Minimal Linguistic Alterations and Conversational Dynamics
Sachin Vashistha, Aryan Bibhuti, Atharva Naik et al.
Mitigating Content Effects on Reasoning in Language Models Through Fine-Grained Activation Steering
Marco Valentino, Geonhee Kim, Dhairya Dalal et al.
Incoherence as Oracle-less Measure of Error in LLM-Based Code Generation
Thomas Jean-Michel Valentin, Ardi Madadi, Gaetano Sapia et al.