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Blog Post number 4
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portfolio
publications
CMB: A Comprehensive Medical Benchmark in Chinese
Published in arXiv, 2023
Xidong Wang, Guiming Hardy Chen, Dingjie Song (equal contribution), Zhiyi Zhang (equal contribution), Zhihong Chen, Qingying Xiao, Feng Jiang, Jianquan Li, Xiang Wan, Benyou Wang, Haizhou Li
Recommended citation: Wang, Xidong, et al. "Cmb: A comprehensive medical benchmark in chinese." arXiv preprint arXiv:2308.08833 (2023).
AceGPT, Localizing Large Language Models in Arabic
Published in arXiv, 2023
Huang Huang, Fei Yu, Jianqing Zhu, Xuening Sun, Hao Cheng, Dingjie Song, Zhihong Chen, Abdulmohsen Alharthi, Bang An, Juncai He, Ziche Liu, Zhiyi Zhang, Junying Chen, Jianquan Li, Benyou Wang, Lian Zhang, Ruoyu Sun, Xiang Wan, Haizhou Li, Jinchao Xu
Recommended citation: Huang, Huang, et al. "AceGPT, Localizing Large Language Models in Arabic." arXiv preprint arXiv:2309.12053 (2023).
HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs
Published in arXiv, 2023
Junying Chen, Xidong Wang, Anningzhe Gao, Feng Jiang, Shunian Chen, Hongbo Zhang, Dingjie Song, Wenya Xie, Chuyi Kong, Jianquan Li, Xiang Wan, Haizhou Li, Benyou Wang
Recommended citation: Chen, Junying, et al. "HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs." arXiv preprint arXiv:2311.09774 (2023).
MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria
Published in NAACL 2025, 1900
Wentao Ge, Shunian Chen, Guiming Hardy Chen*, Junying Chen, Zhihong Chen, Nuo Chen, Wenya Xie, Shuo Yan, Chenghao Zhu, Ziyue Lin, Dingjie Song, Xidong Wang, Anningzhe Gao, Zhang Zhiyi, Jianquan Li, Xiang Wan, Benyou Wang
MileBench: Benchmarking MLLMs in Long Context
Published in arXiv, 2024
Dingjie Song, Shunian Chen, Guiming Hardy Chen, Fei Yu, Xiang Wan, Benyou Wang
Recommended citation: Song, Dingjie, et al. "MileBench: Benchmarking MLLMs in Long Context." arXiv preprint arXiv:2404.18532 (2024).
LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via Hybrid Architecture
Published in EMNLP Findings 2025, 1900
Xidong Wang, Dingjie Song, Shunian Chen, Chen Zhang, Benyou Wang
Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs
Published in COLING 2025, 1900
Dingjie Song, Wenjun Wang, Shunian Chen, Xidong Wang, Michael Guan, Benyou Wang
Both Text and Images Leaked! A Systematic Analysis of Multimodal LLM Data Contamination
Published in EMNLP Findings 2025, ICML 2025 DIG-BUG Workshop Oral, 1900
Dingjie Song, Sicheng Lai, Mingxuan Wang, Shunian Chen, Lichao Sun, Benyou Wang
BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement
Published in arXiv, Under Review, 1900
Yuhao Du, Shunian Chen, Wenbo Zan, Peizhao Li, Mingxuan Wang, Dingjie Song, Bo Li, Yan Hu, Benyou Wang
On the Compositional Generalization of Multimodal LLMs for Medical Imaging
Published in ACL 2025, 1900
Zhenyang Cai, Junying Chen, Rongsheng Wang, Weihong Wang, Yonglin Deng, Dingjie Song, Yize Chen, Zixu Zhang, Benyou Wang
From Correctness to Comprehension: AI Agents for Personalized Error Diagnosis in Education
Published in arXiv, Under Review, 1900
Yi-Fan Zhang, Hang Li, Dingjie Song, Lichao Sun, Tianlong Xu, Qingsong Wen
A Survey on Post-training of Large Language Models
Published in arXiv, Under Review, 1900
Guiyao Tie, Zeli Zhao, Dingjie Song, Fuyang Wei, Rong Zhou, Yurou Dai, Wen Yin, Zhejian Yang, Jiangyue Yan, Yao Su, Zhenhan Dai, Yifeng Xie, Yihan Cao, Lichao Sun, Pan Zhou, Lifang He, Hechang Chen, Yu Zhang, Qingsong Wen, Tianming Liu, Neil Zhenqiang Gong, Jiliang Tang, Caiming Xiong, Heng Ji, Philip S. Yu, Jianfeng Gao
Aligning Multimodal LLM with Human Preference: A Survey
Published in arXiv, Under Review, 1900
Tao Yu, Yi-Fan Zhang, Chaoyou Fu, Junkang Wu, Jinda Lu, Kun Wang, Xingyu Lu, Yunhang Shen, Guibin Zhang, Dingjie Song, Yibo Yan, Tianlong Xu, Qingsong Wen, Zhang Zhang, Yan Huang, Liang Wang, Tieniu Tan
Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents
Published in arXiv, Under Review, 1900
Zhejian Yang, Yongchao Chen, Xueyang Zhou, Jiangyue Yan, Dingjie Song, Yinuo Liu, Yuting Li, Yu Zhang, Pan Zhou, Hechang Chen, Lichao Sun
SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
Published in MICCAI 2025, 1900
Zhiling Yan, Sifan Song, Dingjie Song, Yiwei Li, Rong Zhou, Weixiang Sun, Zhennong Chen, Sekeun Kim, Hui Ren, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, Lichao Sun
CML-Bench: A Framework for Evaluating and Enhancing LLM-Powered Movie Scripts Generation
Published in arXiv, Under Review, 1900
Mingzhe Zheng, Dingjie Song, Guanyu Zhou, Jun You, Jiahao Zhan, Xuran Ma, Xinyuan Song, Ser-Nam Lim, Qifeng Chen, Harry Yang
LiveMedBench: A Contamination-Free Medical Benchmark for LLMs with Automated Rubric Evaluation
Published in KDD 2026, Datasets and Benchmarks Track, 1900
Zhiling Yan, Dingjie Song, Zhe Fang, Yisheng Ji, Xiang Li, Quanzheng Li, Lichao Sun
Can MLLMs Read Students’ Minds? Unpacking Multimodal Error Analysis in Handwritten Math
Published in AIED 2026 Oral, 2026
Dingjie Song, Tianlong Xu, Yi-Fan Zhang, Hang Li, Zhiling Yan, Xing Fan, Haoyang Li, Lichao Sun, Qingsong Wen
Recommended citation: Song, Dingjie, et al. "Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math." Proceedings of the 27th International Conference on Artificial Intelligence in Education (AIED), 2026.
Towards a Medical AI Scientist
Published in arXiv, Under Review, 1900
Hongtao Wu, Boyun Zheng, Dingjie Song*, Yu Jiang, Jianfeng Gao, Lei Xing, Lichao Sun, Yixuan Yuan
ClawBench: Can AI Agents Complete Everyday Online Tasks?
Published in EMNLP Findings 2026, 1900
Yuxuan Zhang, Yubo Wang, Yipeng Zhu, Penghui Du, Junwen Miao, Xuan Lu, Zhuofeng Li, Xingwei Qu, Zhengkang Guo, Yuanzhe Shen, Dingjie Song, Han Zhou, Tuney Zheng, Xian Wu, Hao Yu, Songcheng Cai, Yi Lu, Yunzhuo Hao, Minyi Lei, Liang Chen, Kai Zou, Huifeng Yin, Wendong Xu, Dongfu Jiang, Ping Nie, Jiaheng Liu, Wenhu Chen, Kelsey R. Allen
AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery
Published in arXiv, Under Review, 1900
Guiyao Tie, Jiawen Shi, Dingjie Song, Yixiao Huang, Ziji Sheng, Xueyang Zhou, Daizong Liu, Pan Zhou, Yongchao Chen, Ran Xu, Lifang He, Qingsong Wen, Manling Li, Cong Lu, Shuai Li, Pengtao Xie, Yixuan Yuan, Rui Meng, Lei Xing, Lichao Sun, Caiming Xiong, Philip S. Yu, Jianfeng Gao
OpenSkill: Open-World Self-Evolution for LLM Agents
Published in EMNLP 2026, 1900
Zhiling Yan, Dingjie Song, Hanrong Zhang, Wei Liang, Yuxuan Zhang, Yutong Dai, Lifang He, Philip S. Yu, Ran Xu, Xiang Li, Lichao Sun
Distributional Matching for Vector Quantization: A Unified Theoretical and Empirical Framework
Published in arXiv, Under Review, 1900
Xianghong Fang, Litao Guo, Hengchao Chen, Yuxuan Zhang, Xiaofan Xia, Dingjie Song, Yexin Liu, Hao Wang, Harry Yang, Qiang Sun, Yuan Yuan
LEV: Thinking Fast and Deep with Looped Decision Models
Published in arXiv Preprint, 1900
Dingjie Song, Zhiling Yan, Yuxuan Zhang, Lichao Sun
PremiseCheck: Efficient Fact-Checking of Human and AI Peer Reviews
Published in arXiv Preprint, 1900
Dingjie Song, Zhiling Yan, Ziqian Zhang, Yuxuan Zhang, Lichao Sun
Self-Supervised Task Augmentation for Few-Shot Intent Detection
Published in JCST 2022, 2022
Pengfei Sun, Yawen Ouyang, Dingjie Song, Xinyu Dai
Recommended citation: Sun, Peng-Fei, et al. "Self-Supervised Task Augmentation for Few-Shot Intent Detection." Journal of Computer Science and Technology 37.3 (2022): 527-538.
Episode-based Prompt Learning for Any-shot Intent Detection
Published in NLPCC 2023 Oral, 2023
Pengfei Sun, Dingjie Song (equal contribution), Yawen Ouyang, Zhen Wu, Xinyu Dai
Recommended citation: Sun, Pengfei, et al. "Episode-Based Prompt Learning for Any-Shot Intent Detection." CCF International Conference on Natural Language Processing and Chinese Computing. Cham: Springer Nature Switzerland, 2023.
Dr. Claw: An AI Scientist Workspace for Vibe Research
Published in EMNLP, System Demonstrations Track, 2026
Dingjie Song, Hanrong Zhang, Dawei Liu, Yixin Liu, Zongxia Li, Zhengqing Yuan, Siqi Zhang, Henry Peng Zou, Zhiling Yan, Yuxuan Zhang, Yanfang Ye, Philip S. Yu, Lichao Sun
Recommended citation: Song, Dingjie, et al. “Dr. Claw: An AI Scientist Workspace for Vibe Research.” EMNLP 2026, System Demonstrations Track. https://arxiv.org/abs/2609.00365.
TraceGym: Failure-Driven Environment Synthesis for Training Terminal Agents
Published in Preprint, Salesforce AI Research, 1900
Dingjie Song, Yutong Dai, Kai Mei, Lichao Sun, Zeyuan Chen, Ran Xu
talks
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.