Yan Gao

According to our database, Yan Gao authored at least 62 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Tournament-GRPO: Group-Wise Tournament Rewards for Reinforcement Learning in Open-Ended Long-Form Generation.

Zixuan Yang, Yiqun Chen, Wei Yang, Erhan Zhang, Zihan Shen, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu, Jiaxin Mao

CoRR, May, 2026

UnityMAS-O: A General RL Optimization Framework for LLM-Based Multi-Agent Systems.

Yiqun Chen, Wei Yang, Erhan Zhang, Shijie Wang, Qi Liu, Zechun Niu, Bin Zhang, Haitao Li, Rui Li, Lingyong Yan, Jinyuan Feng, Biqing Qi, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu, Jiaxin Mao

CoRR, May, 2026

Knowledge-Graph Paths as Intermediate Supervision for Self-Evolving Search Agents.

Huyu Wu, Jun Liu, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu

CoRR, May, 2026

Focus on the Core: Empowering Diffusion Large Language Models by Self-Contrast.

Jinyuan Feng, Xin Yu, Yiqun Chen, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu, Zhiqiang Pu

CoRR, May, 2026

From a Social Cognitive Perspective: Context-Aware Visual Social Relationship Recognition.

Shiwei Wu, Chao Zhang, Joya Chen, Tong Xu, Likang Wu, Qimeng Wang, Yan Gao, Yao Hu, Enhong Chen

IEEE Trans. Neural Networks Learn. Syst., April, 2026

SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility.

Xuyang Zhi, Peilun Zhou, Chengqiang Lu, Hang Lv, Yiwei Liang, Rongyang Zhang, Yan Gao, Yi Wu, Yao Hu, Hongchao Gu, Defu Lian, Hao Wang, Enhong Chen

CoRR, April, 2026

PRAISE: Prefix-Based Rollout Reuse in Agentic Search Training.

Erhan Zhang, Yiqun Chen, Zechun Niu, Wei Yang, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu, Jiaxin Mao

CoRR, April, 2026

Aligning Large Language Models with Searcher Preferences.

Wei Wu, Peilun Zhou, Liyi Chen, Qimeng Wang, Chengqiang Lu, Yan Gao, Yi Wu, Yao Hu, Hui Xiong

CoRR, March, 2026

Self-Compression of Chain-of-Thought via Multi-Agent Reinforcement Learning.

Yiqun Chen, Jinyuan Feng, Wei Yang, Meizhi Zhong, Zhengliang Shi, Rui Li, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu, Zhiqiang Pu, Jiaxin Mao

CoRR, January, 2026

JADE: Bridging the Strategic-Operational Gap in Dynamic Agentic RAG.

Yiqun Chen, Erhan Zhang, Tianyi Hu, Shijie Wang, Zixuan Yang, Meizhi Zhong, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu, Jiaxin Mao

CoRR, January, 2026

Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models.

Wei Wu, Liyi Chen, Congxi Xiao, Tianfu Wang, Qimeng Wang, Chengqiang Lu, Yan Gao, Yi Wu, Yao Hu, Hui Xiong

CoRR, January, 2026

2025

DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle.

Fangyu Lei, Jinxiang Meng, Yiming Huang, Junjie Zhao, Yitong Zhang, Jianwen Luo, Xin Zou, Ruiyi Yang, Wenbo Shi, Yan Gao, Shizhu He, Zuo Wang, Qian Liu, Yang Wang, Ke Wang, Jun Zhao, Kang Liu

CoRR, December, 2025

Towards Fine-Grained Code-Switch Speech Translation with Semantic Space Alignment.

Yan Gao, Yazheng Yang, Zhibin Lan, Yidong Chen, Min Zhang, Daimeng Wei, Hui Huang, Jinsong Su

CoRR, November, 2025

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework.

Chao Zhang, Yuhao Wang, Derong Xu, Haoxin Zhang, Yuanjie Lyu, Yuhao Chen, Shuochen Liu, Tong Xu, Xiangyu Zhao, Yan Gao, Yao Hu, Enhong Chen

CoRR, November, 2025

RealBench: A Chinese Multi-image Understanding Benchmark Close to Real-world Scenarios.

Fei Zhao, Chengqiang Lu, Yufan Shen, Qimeng Wang, Yicheng Qian, Haoxin Zhang, Yan Gao, Yi Wu, Yao Hu, Zhen Wu, Shangyu Xing, Xinyu Dai

CoRR, September, 2025

Decomposed Reasoning with Reinforcement Learning for Relevance Assessment in UGC Platforms.

Xiaowei Yuan, Lei Jin, Haoxin Zhang, Yan Gao, Yi Wu, Yao Hu, Ziyang Huang, Jun Zhao, Kang Liu

CoRR, August, 2025

RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services.

Fei Zhao, Chonggang Lu, Yue Wang, Zheyong Xie, Ziyan Liu, Haofu Qian, Jianzhao Huang, Fangcheng Shi, Zijie Meng, Hongcheng Guo, Mingqian He, Xinze Lyu, Yiming Lu, Ziyang Xiang, Zheyu Ye, Chengqiang Lu, Zhe Xu, Yi Wu, Yao Hu, Yan Gao, Jun Fan, Xiaolong Jiang, Weiting Liu, Boyang Wang, Shaosheng Cao

CoRR, July, 2025

Plan Your Travel and Travel with Your Plan: Wide-Horizon Planning and Evaluation via LLM.

Dongjie Yang, Chengqiang Lu, Qimeng Wang, Xinbei Ma, Yan Gao, Yao Hu, Hai Zhao

CoRR, June, 2025

PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time Retrieval.

Zihan Niu, Zheyong Xie, Shaosheng Cao, Chonggang Lu, Zheyu Ye, Tong Xu, Zuozhu Liu, Yan Gao, Jia Chen, Zhe Xu, Yi Wu, Yao Hu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions.

Jia Chen, Qian Dong, Haitao Li, Xiaohui He, Yan Gao, Shaosheng Cao, Yi Wu, Ping Yang, Chen Xu, Yao Hu, Qingyao Ai, Yiqun Liu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering.

Rongyang Zhang, Yuqing Huang, Chengqiang Lu, Qimeng Wang, Yan Gao, Yi Wu, Yao Hu, Yin Xu, Wei Wang, Hao Wang, Enhong Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Wide-Horizon Thinking and Simulation-Based Evaluation for Real-World LLM Planning with Multifaceted Constraints.

Dongjie Yang, Chengqiang Lu, Qimeng Wang, Xinbei Ma, Yan Gao, Yao Hu, Hai Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MoDification: Mixture of Depths Made Easy.

Chen Zhang, Meizhi Zhong, Qimeng Wang, Xuantao Lu, Zheyu Ye, Chengqiang Lu, Yan Gao, Yao Hu, Kehai Chen, Min Zhang, Dawei Song

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

NoteLLM-2: Multimodal Large Representation Models for Recommendation.

Chao Zhang, Haoxin Zhang, Shiwei Wu, Di Wu, Tong Xu, Xiangyu Zhao, Yan Gao, Yao Hu, Enhong Chen

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

RealBench: A Chinese Multi-image Understanding Benchmark Close to Real-world Scenarios.

Fei Zhao, Chengqiang Lu, Yufan Shen, Qimeng Wang, Yicheng Qian, Haoxin Zhang, Yan Gao, Wu Yi, Yao Hu, Zhen Wu, Shangyu Xing, Xinyu Dai

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Think-Search-Patch: A Retrieval-Augmented Reasoning Framework for Repository-Level Code Repair.

Bojian Xiong, Yikun Lei, Xikai Liu, Shaowei Zhang, Pengyun Zhu, Yan Liu, Yongqi Leng, Ling Shi, Meizhi Zhong, Yurong Zhang, Yan Gao, Yi Wu, Yao Hu, Deyi Xiong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

DecEx-RAG: Boosting Agentic Retrieval-Augmented Generation with Decision and Execution Optimization via Process Supervision.

Yongqi Leng, Yikun Lei, Xikai Liu, Meizhi Zhong, Bojian Xiong, Yurong Zhang, Yan Gao, Yi Wu, Yao Hu, Deyi Xiong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment.

Yuqing Huang, Rongyang Zhang, Qimeng Wang, Chengqiang Lu, Yan Gao, Yi Wu, Yao Hu, Xuyang Zhi, Guiquan Liu, Xin Li, Hao Wang, Enhong Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Understanding the RoPE Extensions of Long-Context LLMs: An Attention Perspective.

Meizhi Zhong, Chen Zhang, Yikun Lei, Xikai Liu, Yan Gao, Yao Hu, Kehai Chen, Min Zhang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

ZigZagKV: Dynamic KV Cache Compression for Long-context Modeling based on Layer Uncertainty.

Meizhi Zhong, Xikai Liu, Chen Zhang, Yikun Lei, Yan Gao, Yao Hu, Kehai Chen, Min Zhang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Towards the Law of Capacity Gap in Distilling Language Models.

Chen Zhang, Qiuchi Li, Dawei Song, Zheyu Ye, Yan Gao, Yao Hu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

OV-DAR: Open-Vocabulary Object Detection and Attributes Recognition.

Keyan Chen, Xiaolong Jiang, Haochen Wang, Cilin Yan, Yan Gao, Xu Tang, Yao Hu, Weidi Xie

Int. J. Comput. Vis., November, 2024

TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model.

Yunkai Chen, Qimeng Wang, Shiwei Wu, Yan Gao, Tong Xu, Yao Hu

ACM Trans. Knowl. Discov. Data, August, 2024

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval.

Suyuan Huang, Chao Zhang, Yuanyuan Wu, Haoxin Zhang, Yuan Wang, Maolin Wang, Shaosheng Cao, Tong Xu, Xiangyu Zhao, Zengchang Qin, Yan Gao, Yunhan Bai, Jun Fan, Yao Hu, Enhong Chen

CoRR, 2024

Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents.

Shiwei Wu, Chen Zhang, Yan Gao, Qimeng Wang, Tong Xu, Yao Hu, Enhong Chen

CoRR, 2024

NoteLLM-2: Multimodal Large Representation Models for Recommendation.

Chao Zhang, Haoxin Zhang, Shiwei Wu, Di Wu, Tong Xu, Yan Gao, Yao Hu, Enhong Chen

CoRR, 2024

From Image to Video, what do we need in multimodal LLMs?

Suyuan Huang, Haoxin Zhang, Yan Gao, Yao Hu, Zengchang Qin

CoRR, 2024

Agent Group Chat: An Interactive Group Chat Simulacra For Better Eliciting Collective Emergent Behavior.

Zhouhong Gu, Xiaoxuan Zhu, Haoran Guo, Lin Zhang, Yin Cai, Hao Shen, Jiangjie Chen, Zheyu Ye, Yifei Dai, Yan Gao, Yao Hu, Hongwei Feng, Yanghua Xiao

CoRR, 2024

NoteLLM: A Retrievable Large Language Model for Note Recommendation.

Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu, Yan Gao, Yao Hu, Di Wu, Enhong Chen

CoRR, 2024

NoteLLM: A Retrievable Large Language Model for Note Recommendation.

Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu, Yan Gao, Yao Hu, Enhong Chen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Vript: A Video Is Worth Thousands of Words.

Dongjie Yang, Suyuan Huang, Chengqiang Lu, Xiaodong Han, Haoxin Zhang, Yan Gao, Yao Hu, Hai Zhao

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation.

Shiwei Wu, Joya Chen, Kevin Qinghong Lin, Qimeng Wang, Yan Gao, Qianli Xu, Tong Xu, Yao Hu, Enhong Chen, Mike Zheng Shou

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Are Mixture-of-Modality-Experts Transformers Robust to Missing Modality During Training and Inferring?

Yan Gao, Tong Xu, Enhong Chen

Proceedings of the Intelligent Information Processing XII, 2024

Caseg: Clip-Based Action Segmentation With Learnable Text Prompt.

Suyuan Huang, Haoxin Zhang, Yanyu Xu, Yan Gao, Yao Hu, Zengchang Qin

Proceedings of the IEEE International Conference on Image Processing, 2024

DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?

Zhouhong Gu, Lin Zhang, Xiaoxuan Zhu, Jiangjie Chen, Wenhao Huang, Yikai Zhang, Shusen Wang, Zheyu Ye, Yan Gao, Hongwei Feng, Yanghua Xiao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference.

Dongjie Yang, Xiaodong Han, Yan Gao, Yao Hu, Shilin Zhang, Hai Zhao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval.

Yan Gao, Zhiwei Cao, Zhongjian Miao, Baosong Yang, Shiyu Liu, Min Zhang, Jinsong Su

Proceedings of the Findings of the Association for Computational Linguistics, 2024

AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries.

Runqi Wang, Huixin Sun, Linlin Yang, Shaohui Lin, Chuanjian Liu, Yan Gao, Yao Hu, Baochang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards the Law of Capacity Gap in Distilling Language Models.

Chen Zhang, Dawei Song, Zheyu Ye, Yan Gao

CoRR, 2023

MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation.

Jie Guo, Qimeng Wang, Yan Gao, Xiaolong Jiang, Xu Tang, Yao Hu, Baochang Zhang

CoRR, 2023

MVP-SEG: Multi-view Prompt Learning for Open-Vocabulary Semantic Segmentation.

Jie Guo, Qimeng Wang, Yan Gao, Xiaolong Jiang, Shaohui Lin, Baochang Zhang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2INER: Instructive and In-Context Learning on Few-Shot Named Entity Recognition.

Jiasheng Zhang, Xikai Liu, Xinyi Lai, Yan Gao, Shusen Wang, Yao Hu, Yiqing Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

OvarNet: Towards Open-Vocabulary Object Attribute Recognition.

Keyan Chen, Xiaolong Jiang, Yao Hu, Xu Tang, Yan Gao, Jianqi Chen, Weidi Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Occluded Video Instance Segmentation: A Benchmark.

Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai

Int. J. Comput. Vis., 2022

Unified QA-aware Knowledge Graph Generation Based on Multi-modal Modeling.

Penggang Qin, Jiarui Yu, Yan Gao, Derong Xu, Yunkai Chen, Shiwei Wu, Tong Xu, Enhong Chen, Yanbin Hao

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

NFormer: Robust Person Re-identification with Neighbor Transformer.

Haochen Wang, Jiayi Shen, Yongtuo Liu, Yan Gao, Efstratios Gavves

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Occluded Video Instance Segmentation.

Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai

CoRR, 2021

Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge.

Jiyang Qi, Yan Gao, Yao Hu, Xinggang Wang, Xiaoyu Liu, Xiang Bai, Serge J. Belongie, Alan L. Yuille, Philip H. S. Torr, Song Bai

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Decoupled IoU Regression for Object Detection.

Yan Gao, Qimeng Wang, Xu Tang, Haochen Wang, Fei Ding, Jing Li, Yao Hu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

1st Place Solutions for OpenImage2019 - Object Detection and Instance Segmentation.

Yu Liu, Guanglu Song, Yuhang Zang, Yan Gao, Enze Xie, Junjie Yan, Chen Change Loy, Xiaogang Wang

CoRR, 2020

2019

Utilizing the Instability in Weakly Supervised Object Detection.

Boxiao Liu, Yan Gao, Nan Guo, Xiaochun Ye, Fang Wan, Haihang You, Dongrui Fan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2010

Chinese Word Sense Induction based on Hierarchical Clustering Algorithm.

Ke Cai, Xiaodong Shi, Yidong Chen, Zhehuang Huang, Yan Gao

Proceedings of the CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2010