Papers
MMBERT: Scaled Mixture-of-Experts Multimodal BERT for Robust Chinese Hate Speech Detection Under Cloaking Perturbations
Qiyao Xue, Yuchen Dou, Zheyuan Ryan Shi et al.
Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models
Zijie Xu, Wenjun Ke, Peng Wang et al.
ST-LLM: Spatial Transcriptomics Embedding with Large Language Models
Zhetao Xu, Xiaohua Wan, Le Li et al.
Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention
Zhe Xu, Zhicai Wang, Junkang Wu et al.
DeepPhy: Benchmarking Agentic VLMs on Physical Reasoning
Xinrun Xu, Pi Bu, Ye Wang et al.
RLKD: Distilling LLMs’ Reasoning via Reinforcement Learning
Shicheng Xu, Liang Pang, Yunchang Zhu et al.
Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction
Jun Xu, Xinkai Du, Yu Ao et al.
Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation
Hefei Xu, Le Wu, Chen Cheng et al.
Multiplicative Orthogonal Sequential Editing for Language Models
Hao-Xiang Xu, Jun-Yu Ma, Ziqi Peng et al.
ComLQ: Benchmarking Complex Logical Queries in Information Retrieval
Ganlin Xu, Zhitao Yin, Linghao Zhang et al.
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.