Qin, Yulei

12 publications

ICLR 2026 Attend to the Active: Structure-Aware Dynamic Attention in LLMs for Compositional Instruction Following Fangrui Lv, Yulei Qin, Ruixin Hong, Jian Liang, Jinyang Wu, Ke Li, Xing Sun, Changshui Zhang

ICLR 2026 Count Counts: Motivating Exploration in LLM Reasoning with Count-Based Intrinsic Rewards Xuan Zhang, Ruixiao Li, Zhijian Zhou, Long Li, Yulei Qin, Ke Li, Xing Sun, Xiaoyu Tan, Chao Qu, Yuan Qi

ICLR 2026 Learn the Ropes, Then Trust the Wins: Self-Imitation with Progressive Exploration for Agentic Reinforcement Learning Yulei Qin, Xiaoyu Tan, Zhengbao He, Gang Li, Haojia Lin, Zongyi Li, Zihan Xu, Yuchen Shi, Siqi Cai, Renting Rui, Shaofei Cai, Yuzheng Cai, Xuan Zhang, Sheng Ye, Ke Li, Xing Sun

NeurIPS 2025 Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models Yulei Qin, Gang Li, Zongyi Li, Zihan Xu, Yuchen Shi, Zhekai Lin, Xiao Cui, Ke Li, Xing Sun

NeurIPS 2025 LTD-Bench: Evaluating Large Language Models by Letting Them Draw Liuhao Lin, Ke Li, Zihan Xu, Yuchen Shi, Yulei Qin, Yan Zhang, Xing Sun, Rongrong Ji

NeurIPS 2025 MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models Chaoyou Fu, Peixian Chen, Yunhang Shen, Yulei Qin, Mengdan Zhang, Xu Lin, Jinrui Yang, Xiawu Zheng, Ke Li, Xing Sun, Yunsheng Wu, Rongrong Ji, Caifeng Shan, Ran He

AAAI 2025 Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Xiao Cui, Mo Zhu, Yulei Qin, Liang Xie, Wengang Zhou, Houqiang Li

CVPR 2025 OPTICAL: Leveraging Optimal Transport for Contribution Allocation in Dataset Distillation Xiao Cui, Yulei Qin, Wengang Zhou, Hongsheng Li, Houqiang Li

NeurIPS 2025 Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation Xiao Cui, Yulei Qin, Wengang Zhou, Hongsheng Li, Houqiang Li

TMLR 2025 Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Yulei Qin, Yuncheng Yang, Pengcheng Guo, Gang Li, Hang Shao, Yuchen Shi, Zihan Xu, Yun Gu, Ke Li, Xing Sun

NeurIPS 2023 CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji

AAAI 2023 FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen