papers

Publications (43)

cs.RO2026

SEA-Nav: Efficient Policy Learning for Safe and Agile Quadruped Navigation in Cluttered Environments

Shiyi Chen, Mingye Yang, Haiyan Mao +6

cs.CV2023

Recurrent Self-Supervised Video Denoising with Denser Receptive Field

Zichun Wang, Yulun Zhang, Debing Zhang +1

cs.CL2025

Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch

Xueru Wen, Jie Lou, Zichao Li +9

cs.CV2020

EasyQuant: Post-training Quantization via Scale Optimization

Di Wu, Qi Tang, Yongle Zhao +3

cs.CV2025

MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuning

Yiwei Ma, Guohai Xu, Xiaoshuai Sun +4

cs.CL2026

Smooth Scaling Laws Hide Stepwise Token Learning

Pingjie Wang, Zechen Hu, Peiru Yang +2

cs.CL2026

LongBench Pro: A More Realistic and Comprehensive Bilingual Long-Context Evaluation Benchmark

Ziyang Chen, Xing Wu, Junlong Jia +4

cs.CL2025

EntropyLong: Effective Long-Context Training via Predictive Uncertainty

Junlong Jia, Ziyang Chen, Xing Wu +5

cs.CL2025

NExtLong: Toward Effective Long-Context Training without Long Documents

Chaochen Gao, Xing Wu, Zijia Lin +2

cs.LG2026

Tackling Length Inflation Without Trade-offs: Group Relative Reward Rescaling for Reinforcement Learning

Zichao Li, Jie Lou, Fangchen Dong +8

cs.CV2021

A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer

Weijia Wu, Yuanqiang Cai, Debing Zhang +5

cs.CV2025

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images

Yingping Liang, Ying Fu, Yutao Hu +3

cs.CL2026

Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge

Pengwei Tang, Xiaolin Hu, Yong Liu +4

cs.CV2025

David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training

Weijian Luo, Colin Zhang, Debing Zhang +1

cs.CV2021

Partial FC: Training 10 Million Identities on a Single Machine

Xiang An, Xuhan Zhu, Yang Xiao +7

cs.CL2025

dots.llm1 Technical Report

Bi Huo, Bin Tu, Cheng Qin +24

cs.AI2025

CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning

Huimu Yu, Xing Wu, Haotian Xu +2

cs.LG2025

Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction

Yifei Wang, Weimin Bai, Colin Zhang +3

cs.AI2026

Scalable Oversight for Superhuman AI via Recursive Self-Critiquing

Xueru Wen, Jie Lou, Xinyu Lu +5

cs.CV2022

End-to-End Video Text Spotting with Transformer

Weijia Wu, Yuanqiang Cai, Chunhua Shen +4

cs.CV2025

SedarEval: Automated Evaluation using Self-Adaptive Rubrics

Zhiyuan Fan, Weinong Wang, Xing Wu +1

cs.RO2026

SigLoMa: Learning Open-World Quadrupedal Loco-Manipulation from Ego-Centric Vision

Shiyi Chen, Haiyi Liu, Mingye Yang +2

cs.CL2025

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions

Chaochen Gao, Xing Wu, Zijia Lin +2

cs.CL2025

On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation

Xueru Wen, Jie Lou, Xinyu Lu +8

cs.CL2026

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning

Qianhao Yuan, Jie Lou, Zichao Li +6

cs.LG2025

AdaMuon: Adaptive Muon Optimizer

Chongjie Si, Debing Zhang, Wei Shen

cs.CL2025

The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models

Zichao Li, Xueru Wen, Jie Lou +5

cs.CL2021

EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling

Jue Wang, Haofan Wang, Jincan Deng +2

cs.CL2026

Coupled Variational Reinforcement Learning for Language Model General Reasoning

Xueru Wen, Jie Lou, Yanjiang Liu +6

cs.CL2025

Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic

Xin Zheng, Jie Lou, Boxi Cao +7

cs.RO2024

SLR: Learning Quadruped Locomotion without Privileged Information

Shiyi Chen, Zeyu Wan, Shiyang Yan +5

cs.CV2023

One-shot Implicit Animatable Avatars with Model-based Priors

Yangyi Huang, Hongwei Yi, Weiyang Liu +6

cs.CV2023

MPI-Flow: Learning Realistic Optical Flow with Multiplane Images

Yingping Liang, Jiaming Liu, Debing Zhang +1

cs.LG2025

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Haotian Xu, Xing Wu, Weinong Wang +11

cs.CL2025

LiteLong: Resource-Efficient Long-Context Data Synthesis for LLMs

Junlong Jia, Xing Wu, Chaochen Gao +8

cs.CV2023

AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection

Wentao Zhu, Yufang Huang, Xiufeng Xie +5

cs.RO2023

LP-SLAM: Language-Perceptive RGB-D SLAM system based on Large Language Model

Weiyi Zhang, Yushi Guo, Liting Niu +6

cs.LG2025

Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?

Xueru Wen, Jie Lou, Yaojie Lu +7

cs.CL2024

Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models

Junfeng Tian, Da Zheng, Yang Cheng +3

cs.LG2026

JTok: On Token Embedding as another Axis of Scaling Law via Joint Token Self-modulation

Yebin Yang, Huaijin Wu, Fu Guo +5

cs.CL2025

PretrainZero: Reinforcement Active Pretraining

Xingrun Xing, Zhiyuan Fan, Jie Lou +3

cs.CL2026

NITP: Next Implicit Token Prediction for LLM Pre-training

Xiangdong Zhang, Debing Zhang, Shaofeng Zhang +3

cs.CL2026

Dynamic Chunking for Diffusion Language Models

Yichen Zhu, Xiaoming Shi, Peng Zhao +3