Li, Jiatong

16 publications

ICLR 2026 CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics Weida Wang, Dongchen Huang, Jiatong Li, Tengchao Yang, Ziyang Zheng, Chuyi Peng, Di Zhang, Dong Han, Benteng Chen, Binzhao Luo, Zhiyu Liu, Kunling Liu, Zhiyuan Gao, Shiqigeng, Wei Ma, Jiaming Su, Xin Li, Shuchen Pu, Yuhan Shui, Qianjia Cheng, Zhihao Dou, Dongfei Cui, Changyong He, Jin Zeng, Zeke Xie, Mao Su, Dongzhan Zhou, Yuqiang Li, Wanli Ouyang, Yunqi Cai, Xi Dai, Shufei Zhang, Lei Bai, Jinguang Cheng, Zhong Fang, Hongming Weng

ICLR 2026 Fewer Battles, More Gain: An Information-Efficient Framework for Arena-Based LLM Evaluation Zirui Liu, Xianquan Wang, Yan Zhuang, Jiatong Li, Qi Liu, Shuanghong Shen, Mingyue Cheng, Shijin Wang

ICLR 2026 K-Sort Eval: Efficient Preference Evaluation for Visual Generation via Corrected VLM-as-a-Judge Zhikai Li, Jiatong Li, Xuewen Liu, Wangbo Zhao, Pan Du, Kaicheng Zhou, Qingyi Gu, Yang You, Zhen Dong, Kurt Keutzer

ICLR 2026 Scaling Reasoning Hop Exposes Weaknesses: Demystifying and Improving Hop Generalization in Large Language Models Zhaoyi Li, Jiatong Li, Gangwei Jiang, Linqi Song, Defu Lian, Ying Wei

ICML 2025 Am-ELO: A Stable Framework for Arena-Based LLM Evaluation Zirui Liu, Jiatong Li, Yan Zhuang, Qi Liu, Shuanghong Shen, Jie Ouyang, Mingyue Cheng, Shijin Wang

CVPR 2025 Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning Di Zhang, Jingdi Lei, Junxian Li, Xunzhi Wang, Yujie Liu, Zonglin Yang, Jiatong Li, Weida Wang, Suorong Yang, Jianbo Wu, Peng Ye, Wanli Ouyang, Dongzhan Zhou

NeurIPS 2025 Visual Instruction Bottleneck Tuning Changdae Oh, Jiatong Li, Shawn Im, Sharon Li

NeurIPS 2024 Computerized Adaptive Testing via Collaborative Ranking Zirui Liu, Yan Zhuang, Qi Liu, Jiatong Li, Yuren Zhang, Zhenya Huang, Jinze Wu, Shijin Wang

NeurIPS 2024 PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations Jiatong Li, Renjun Hu, Kunzhe Huang, Yan Zhuang, Qi Liu, Mengxiao Zhu, Xing Shi, Wei Lin

ICCV 2023 ALWOD: Active Learning for Weakly-Supervised Object Detection Yuting Wang, Velibor Ilic, Jiatong Li, Branislav Kisačanin, Vladimir Pavlovic

IJCAI 2023 Generative Diffusion Models on Graphs: Methods and Applications Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li

ECCV 2022 ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Junzhe Zhang

AAAI 2021 CHEF: Cross-Modal Hierarchical Embeddings for Food Domain Retrieval Hai Xuan Pham, Ricardo Guerrero, Vladimir Pavlovic, Jiatong Li

ICCV 2021 CSG-Stump: A Learning Friendly CSG-like Representation for Interpretable Shape Parsing Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Haiyong Jiang, Zhongang Cai, Junzhe Zhang, Liang Pan, Mingyuan Zhang, Haiyu Zhao, Shuai Yi

NeurIPS 2021 Understanding and Improving Early Stopping for Learning with Noisy Labels Yingbin Bai, Erkun Yang, Bo Han, Yanhua Yang, Jiatong Li, Yinian Mao, Gang Niu, Tongliang Liu

ICCVW 2015 Robust Visual Tracking by Exploiting the Historical Tracker Snapshots Jiatong Li, Zhibin Hong, Baojun Zhao