Papers
MedMKEB: A Comprehensive Knowledge Editing Benchmark for Medical Multimodal Large Language Models
Dexuan Xu, Jieyi Wang, Zhongyan Chai et al.
Editing Is a Bargaining Game: Balanced Knowledge Editing in Large Language Models
Chenghao Xu, Jiexi Yan, Muli Yang et al.
Advanced Black-Box Tuning of Large Language Models with Limited API Calls
Zhikang Xie, Weilin Wan, Peizhu Gong et al.
LLM-Oriented Token-Adaptive Knowledge Distillation
Xurong Xie, Zhucun Xue, Jiafu Wu et al.
CroPS: Improving Dense Retrieval with Cross-Perspective Positive Samples in Short-Video Search
Ao Xie, Jiahui Chen, Quanzhi Zhu et al.
DeepOR: A Deep Reasoning Foundation Model for Optimization Modeling
Ziyang Xiao, Yuan Jessica Wang, Xiongwei Han et al.
Enhancing Uncertainty Estimation in LLMs with Expectation of Aggregated Internal Belief
Zeguan Xiao, Diyang Dou, Boya Xiong et al.
SCALE: Selective Resource Allocation for Overcoming Performance Bottlenecks in Mathematical Test-time Scaling
Yang Xiao, Chunpu Xu, Ruifeng Yuan et al.
SDA: Steering-Driven Distribution Alignment for Open LLMs Without Fine-Tuning
Wei Xia, Zhi-Hong Deng
KALL-E: Autoregressive Speech Synthesis with Next-Distribution Prediction
Kangxiang Xia, Xinfa Zhu, Jixun Yao et al.
MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning
Zhiheng Xi, Yuhui Wang, Yiwen Ding et al.
GlitchMiner: Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimization
Zihui Wu, Haichang Gao, Ping Wang et al.
GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents
Zheng Wu, Pengzhou Cheng, Zongru Wu et al.
StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs Through Knowledge-Reasoning Fusion
Yutong Wu, Di Huang, Ruosi Wan et al.
Finding the Translation Switch: Discovering and Exploiting the Task-Initiation Features in LLMs
Xinwei Wu, Heng Liu, Xiaohu Zhao et al.
Audio-Thinker: Guiding Large Audio Language Model When and How to Think via Reinforcement Learning
Shu Wu, Chenxing Li, Wenfu Wang et al.
A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation
Puzhen Wu, Hexin Dong, Yi Lin et al.
Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
Mingqi Wu, Zhihao Zhang, Qiaole Dong et al.
Cognitive Enhancement Chain-of-Thought Towards Enhancing Style Learning and Content Preservation for Long Style Transfer
Lianwei Wu, Botao Wang, Wenbo An et al.
AStar: Boosting Multimodal Reasoning with Automated Structured Thinking
Jinyang Wu, Mingkuan Feng, Guocheng Zhai et al.
LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection
Jian Wu, Hang Yu, Bingchang Liu et al.
ReCode: Updating Code API Knowledge with Reinforcement Learning
Haoze Wu, Yunzhi Yao, Wenhao Yu et al.
Introducing Visual Scenes and Reasoning: A More Realistic Benchmark for Spoken Language Understanding
Di Wu, Liting Jiang, Ruiyu Fang et al.
Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach
Biao Wu, Meng Fang, Ling Chen et al.