MMRotate: A Rotated Object Detection Benchmark using PyTorch. - Yue Zhou 005; Xue Yang 005; Gefan Zhang; Jiabao Wang; Yanyi Liu; Liping Hou; Xue Jiang 001; Xingzhao Liu; Junchi Yan; Chengqi Lyu; Wenwei Zhang; Kai Chen 026 (ACM Multimedia, 2022)

Consistent Targets Provide Better Supervision in Semi-supervised Object Detection. - Xinjiang Wang; Xingyi Yang; Shilong Zhang; Yijiang Li; Litong Feng; Shijie Fang; Chengqi Lyu; Kai Chen 002; Wayne Zhang 001 (CoRR, 2022)

RTMDet: An Empirical Study of Designing Real-Time Object Detectors. - Chengqi Lyu; Wenwei Zhang; Haian Huang; Yue Zhou 005; Yudong Wang 002; Yanyi Liu; Shilong Zhang; Kai Chen 026 (CoRR, 2022)

Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection. - Xinjiang Wang; Xingyi Yang; Shilong Zhang; Yijiang Li; Litong Feng; Shijie Fang; Chengqi Lyu; Kai Chen 002; Wayne Zhang 001 (CVPR, 2023)

Dense Distinct Query for End-to-End Object Detection. - Shilong Zhang; Xinjiang Wang; Jiaqi Wang 003; Jiangmiao Pang; Chengqi Lyu; Wenwei Zhang; Ping Luo 002; Kai Chen 026 (CVPR, 2023)

RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose. - Tao Jiang; Peng Lu; Li Zhang; Ningsheng Ma; Rui Han; Chengqi Lyu; Yining Li; Kai Chen 026 (CoRR, 2023)

MultiModal-GPT: A Vision and Language Model for Dialogue with Humans. - Tao Gong; Chengqi Lyu; Shilong Zhang; Yudong Wang 002; Miao Zheng; Qian Zhao; Kuikun Liu; Wenwei Zhang; Ping Luo 002; Kai Chen 026 (CoRR, 2023)

ANAH: Analytical Annotation of Hallucinations in Large Language Models. - Ziwei Ji 001; Yuzhe Gu; Wenwei Zhang; Chengqi Lyu; Dahua Lin; Kai Chen 026 (ACL (1), 2024)

Fake Alignment: Are LLMs Really Aligned Well? - Yixu Wang; Yan Teng 002; Kexin Huang; Chengqi Lyu; Songyang Zhang; Wenwei Zhang; Xingjun Ma; Yu-Gang Jiang 001; Yu Qiao 001; Yingchun Wang (NAACL-HLT, 2024)

ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models. - Yuzhe Gu; Ziwei Ji 001; Wenwei Zhang; Chengqi Lyu; Dahua Lin; Kai Chen 026 (NeurIPS, 2024)

AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data. - Zifan Song; Yudong Wang 002; Wenwei Zhang; Kuikun Liu; Chengqi Lyu; Demin Song; Qipeng Guo; Hang Yan 001; Dahua Lin; Kai Chen 026; Cairong Zhao (NeurIPS, 2024)

Training Language Models to Critique With Multi-agent Feedback. - Tian Lan 003; Wenwei Zhang; Chengqi Lyu; Shuaibin Li; Chen Xu; Heyan Huang; Dahua Lin; Xian-Ling Mao; Kai Chen 026 (CoRR, 2024)

Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs. - Yuzhe Gu; Wenwei Zhang; Chengqi Lyu; Dahua Lin; Kai Chen 026 (ICLR, 2025)

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning. - Chengqi Lyu; Songyang Gao; Yuzhe Gu; Wenwei Zhang; Jianfei Gao 003; Kuikun Liu; Ziyi Wang 006; Shuaibin Li; Qian Zhao; Haian Huang; Weihan Cao; Jiangning Liu; et al. (CoRR, 2025)

The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner. - Zhouqi Hua; Wenwei Zhang; Chengqi Lyu; Yuzhe Gu; Songyang Gao; Kuikun Liu; Kai Chen 026 (CoRR, 2025)

CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward. - Shudong Liu 007; Hongwei Liu; Junnan Liu; Linchen Xiao; Songyang Gao; Chengqi Lyu; Yuzhe Gu; Wenwei Zhang; Derek F. Wong; Songyang Zhang; Kai Chen 026 (CoRR, 2025)

InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling. - Peiji Li; Jiasheng Ye; Yongkang Chen; Yichuan Ma; Zijie Yu; Kedi Chen; Ganqu Cui; Haozhan Li; Jiacheng Chen; Chengqi Lyu; Wenwei Zhang; Linyang Li; et al. (CoRR, 2025)

Intern-S1: A Scientific Multimodal Foundation Model. - Lei Bai 001; Zhongrui Cai; Yuhang Cao; Maosong Cao; Weihan Cao; Chiyu Chen; Haojiong Chen; Kai Chen; Pengcheng Chen; Ying Chen; Yongkang Chen; Yu Cheng; et al. (CoRR, 2025)