Yuxuan Zhang

RewardHarness: Self-Evolving Agentic Post-Training

Yuxuan Zhang, Cong Wei, Penghui Du, Bo Li, Junwen Miao, Huaisong Zhang, Songcheng Cai, Yubo Wang, Dongfu Jiang, Yuyu Zhang, Ping Nie, Wenhu Chen, Changqian Yu, Kelsey R. Allen

Conference on Language Modeling (COLM) 2026

Project arXiv Code HuggingFace BibTeX

@article{zhang2026rewardharness,
  title={RewardHarness: Self-Evolving Agentic Post-Training},
  author={Zhang, Yuxuan and Du, Penghui and Li, Bo and Wei, Cong and Miao, Junwen and Zhang, Huaisong and Cai, Songcheng and Wang, Yubo and Jiang, Dongfu and Zhang, Yuyu and others},
  journal={arXiv preprint arXiv:2605.08703},
  year={2026}
}

ClawBench: Can AI Agents Complete Everyday Online Tasks?

Yuxuan Zhang, Yubo Wang, Yipeng Zhu, Penghui Du, Junwen Miao, Xuan Lu, Wendong Xu, Yunzhuo Hao, Songcheng Cai, Xiaochen Wang, Huaisong Zhang, Xian Wu, Yi Lu, Minyi Lei, Kai Zou, Huifeng Yin, Ping Nie, Liang Chen, Dongfu Jiang, Wenhu Chen, Kelsey R. Allen

Under Review

Project arXiv Code Dataset HuggingFace BibTeX

@article{zhang2026clawbench,
  title={ClawBench: Can AI Agents Complete Everyday Online Tasks?},
  author={Zhang, Yuxuan and Wang, Yubo and Zhu, Yipeng and Du, Penghui and Miao, Junwen and Lu, Xuan and Xu, Wendong and Hao, Yunzhuo and Cai, Songcheng and Wang, Xiaochen and others},
  journal={arXiv preprint arXiv:2604.08523},
  year={2026}
}

Watch Before You Answer: Learning from Visually Grounded Post-Training

Yuxuan Zhang, EunJeong Hwang, Huaisong Zhang, Penghui Du, Yiming Jia, Dongfu Jiang, Xuan He, Shenhui Zhang, Ping Nie, Peter West, Kelsey R. Allen

Under Review

Project arXiv Code HuggingFace BibTeX

@article{zhang2026watch,
  title={Watch before you answer: Learning from visually grounded post-training},
  author={Zhang, Yuxuan and Hwang, EunJeong and Zhang, Huaisong and Du, Penghui and Jia, Yiming and Jiang, Dongfu and He, Xuan and Zhang, Shenhui and Nie, Ping and West, Peter and others},
  journal={arXiv preprint arXiv:2604.05117},
  year={2026}
}

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models

Yubo Wang, Jiarong Liang, Yuxuan Zhang, Xuye Liu, Cong Wei, Yuyu Zhang, Ping Nie, Wenhu Chen

Under Review

arXiv Code Dataset Model HuggingFace

Learning from the Self-future: On-policy Self-distillation for dLLMs

Yifu Luo, Zeyu Chen, Haoyu Wang, Xinhao Hu, Yuxuan Zhang, Zhizhou Sha, Shiwei Liu

Under Review

arXiv Code HuggingFace BibTeX

@article{luo2026learning,
  title={Learning from the Self-future: On-policy Self-distillation for dLLMs},
  author={Luo, Yifu and Chen, Zeyu and Wang, Haoyu and Hu, Xinhao and Zhang, Yuxuan and Sha, Zhizhou and Liu, Shiwei},
  journal={arXiv preprint arXiv:2606.18195},
  year={2026}
}

CompRank: Efficient LLM Reranking via Token-Level Compression and Decoding-Free Scoring

Xuan Lu, Haohang Huang, Yingqi Fan, Junlong Tong, Yuxuan Zhang, Ping Nie, Rui Meng, Xiaoyu Shen

Under Review

arXiv BibTeX

@article{lu2026comprank,
  title={CompRank: Efficient LLM Reranking via Token-Level Compression and Decoding-Free Scoring},
  author={Lu, Xuan and Huang, Haohang and Fan, Yingqi and Tong, Junlong and Zhang, Yuxuan and Nie, Ping and Meng, Rui and Shen, Xiaoyu},
  journal={arXiv preprint arXiv:2606.11700},
  year={2026}
}

OpenSkill: Open-World Self-Evolution for LLM Agents

Zhiling Yan, Dingjie Song, Hanrong Zhang, Wei Liang, Yuxuan Zhang, Yutong Dai, Lifang He, Philip S. Yu, Ran Xu, Xiang Li, Lichao Sun

Under Review

arXiv Code HuggingFace BibTeX

@article{yan2026openskill,
  title={OpenSkill: Open-World Self-Evolution for LLM Agents},
  author={Yan, Zhiling and Song, Dingjie and Zhang, Hanrong and Liang, Wei and Zhang, Yuxuan and Dai, Yutong and He, Lifang and Yu, Philip S and Xu, Ran and Li, Xiang and others},
  journal={arXiv preprint arXiv:2606.06741},
  year={2026}
}

Where, What, Why, and Importance: Structured Defect Grounding for Text-to-Image Feedback

Huaisong Zhang, Hao Yu, Yuxuan Zhang, Jiahe Wang, Xinrui Chen, Haoxiang Cao, Feng Lu, Wendong Zhang, Changqian Yu, Chun Yuan

Under Review

arXiv HuggingFace BibTeX

@article{zhang2026and,
  title={Where, What, Why, and Importance: Structured Defect Grounding for Text-to-Image Feedback},
  author={Zhang, Huaisong and Yu, Hao and Zhang, Yuxuan and Wang, Jiahe and Chen, Xinrui and Cao, Haoxiang and Lu, Feng and Zhang, Wendong and Yu, Changqian and Yuan, Chun},
  journal={arXiv preprint arXiv:2606.06113},
  year={2026}
}

MIRA: Mid-training Rubric Anchoring for Source-Aware Data Selection

Haowen Wang, Yaxin Du, Jian Yang, Jiajun Wu, Shukai Liu, Yuxuan Zhang, Pingjie Wang, Siheng Chen, Tuney Zheng, Ming Zhou, Xianglong Liu, Bryan Dai

Under Review

arXiv HuggingFace BibTeX

@article{wang2026mira,
  title={MIRA: Mid-training Rubric Anchoring for Source-Aware Data Selection},
  author={Wang, Haowen and Du, Yaxin and Yang, Jian and Wu, Jiajun and Liu, Shukai and Zhang, Yuxuan and Wang, Pingjie and Chen, Siheng and Zheng, Tuney and Zhou, Ming and others},
  journal={arXiv preprint arXiv:2605.30288},
  year={2026}
}

Dr. Claw: An AI Research Assistant and Full-Stack Research Workspace

Open Source · 1k+ stars

Project Code

Dr. Bench: A Multidimensional Evaluation for Deep Research Agents, from Answers to Reports

Yang Yao, Yixu Wang, Yuxuan Zhang, Yi Lu, Tianle Gu, Lingyu Li, Dingyi Zhao, Keming Wu, Haozhe Wang, Ping Nie, Yan Teng, Yingchun Wang

Under Review

Paper Code BibTeX

@article{yao2026dr,
  title={Dr. bench: A multidimensional evaluation for deep research agents, from answers to reports},
  author={Yao, Yang and Wang, Yixu and Zhang, Yuxuan and Lu, Yi and Gu, Tianle and Li, Lingyu and Zhao, Dingyi and Wu, Keming and Wang, Haozhe and Nie, Ping and others},
  year={2026}
}

ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations

Yubo Wang, Xueguang Ma, Ping Nie, Huaye Zeng, Zhiheng Lyu, Yuxuan Zhang, Benjamin Schneider, Yi Lu, Xiang Yue, Wenhu Chen

Conference on Language Modeling (COLM) 2025

Project Paper Code Dataset Model Demo BibTeX

@article{wang2025scholarcopilot,
  title={Scholarcopilot: Training large language models for academic writing with accurate citations},
  author={Wang, Yubo and Ma, Xueguang and Nie, Ping and Zeng, Huaye and Lyu, Zhiheng and Zhang, Yuxuan and Schneider, Benjamin and Lu, Yi and Yue, Xiang and Chen, Wenhu},
  journal={arXiv preprint arXiv:2504.00824},
  year={2025}
}

Retri3D: 3D Neural Graphics Representation Retrieval

Yushi Guan, Daniel Kwan, Jean Sebastien Dandurand, Xi Yan, Ruofan Liang, Yuxuan Zhang, Nilesh Jain, Nilesh Ahuja, Selvakumar Panneer, Nandita Vijaykumar

International Conference on Learning Representations (ICLR) 2025 Spotlight

Project Paper Code BibTeX

@inproceedings{guan2025retri3d,
  title={Retri3D: 3D Neural Graphics Representation Retrieval},
  author={Guan, Yushi and Kwan, Daniel and Dandurand, Jean and Yan, Xi and Liang, Ruofan and Zhang, Yuxuan and Jain, Nilesh and Ahuja, Nilesh and Panneer, Selvakumar and Vijaykumar, Nandita},
  booktitle={International Conference on Learning Representations},
  volume={2025},
  pages={31771--31813},
  year={2025}
}

VideoScore2: Think before You Score in Generative Video Evaluation

Transactions on Machine Learning Research (TMLR) 2026

Project Paper Code Dataset Model HF Space Twitter BibTeX

@article{he2025videoscore2,
  title={Videoscore2: Think before you score in generative video evaluation},
  author={He, Xuan and Jiang, Dongfu and Nie, Ping and Liu, Minghao and Jiang, Zhengxuan and Su, Mingyi and Ma, Wentao and Lin, Junru and Ye, Chun and Lu, Yi and others},
  journal={arXiv preprint arXiv:2509.22799},
  year={2025}
}

StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs

Jialin Yang, Dongfu Jiang, Lipeng He, Sherman Siu, Yuxuan Zhang, Disen Liao, Zhuofeng Li, Huaye Zeng, Yiming Jia, Haozhe Wang, Benjamin Schneider, Chi Ruan, Wentao Ma, Zhiheng Lyu, Yifei Wang, Yi Lu, Quy Duc Do, Ziyan Jiang, Ping Nie, Wenhu Chen

Transactions on Machine Learning Research (TMLR) 2025

Project Paper Code Dataset BibTeX

@article{yang2025structeval,
  title={StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs},
  author={Yang, Jialin and Jiang, Dongfu and He, Lipeng and Siu, Sherman and Zhang, Yuxuan and Liao, Disen and Li, Zhuofeng and Zeng, Huaye and Jia, Yiming and Wang, Haozhe and others},
  journal={arXiv preprint arXiv:2505.20139},
  year={2025}
}

WikiGap: Promoting Epistemic Equity by Surfacing Knowledge Gaps Between English Wikipedia and other Language Editions

Zining Wang, Yuxuan Zhang, Dongwook Yoon, Nicholas Vincent, Farhan Samir, Vered Shwartz

Under Review

Paper Code BibTeX

@article{wang2025wikigap,
  title={WikiGap: Promoting epistemic equity by surfacing knowledge gaps between English Wikipedia and other language editions},
  author={Wang, Zining and Zhang, Yuxuan and Yoon, Dongwook and Vincent, Nicholas and Samir, Farhan and Shwartz, Vered},
  journal={arXiv preprint arXiv:2505.24195},
  year={2025}
}

PLAICraft: Large-Scale Time-Aligned Vision-Speech-Action Dataset for Embodied AI

Yingchen He, Christian D. Weilbach, Martyna E. Wojciechowska, Yuxuan Zhang, Frank Wood

Under Review

Paper BibTeX

@article{he2025plaicraft,
  title={Plaicraft: Large-scale time-aligned vision-speech-action dataset for embodied ai},
  author={He, Yingchen and Weilbach, Christian D and Wojciechowska, Martyna E and Zhang, Yuxuan and Wood, Frank},
  journal={arXiv preprint arXiv:2505.12707},
  year={2025}
}

Enhancing Vector Quantization with Distributional Matching: A Theoretical and Empirical Study

Xianghong Fang, Litao Guo, Hengchao Chen, Yuxuan Zhang, Xiaofan Xia, Dingjie Song, Yexin Liu, Hao Wang, Harry Yang, Yuan Yuan, Qiang Sun

Under Review

Paper Code BibTeX

@article{fang2025enhancing,
  title={Enhancing vector quantization with distributional matching: A theoretical and empirical study},
  author={Fang, Xianghong and Guo, Litao and Chen, Hengchao and Zhang, Yuxuan and Song, Dingjie and Liu, Yexin and Wang, Hao and Yang, Harry and Yuan, Yuan and Sun, Qiang and others},
  journal={arXiv preprint arXiv:2506.15078},
  year={2025}
}

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion

Meng Zhou*, Yuxuan Zhang*, Xiaolan Xu, Jiayi Wang, Farzad Khalvati (* equal contribution)

IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2024

Paper Code Dataset BibTeX

@inproceedings{zhou2024edge,
  title={Edge-enhanced dilated residual attention network for multimodal medical image fusion},
  author={Zhou, Meng and Zhang, Yuxuan and Xu, Xiaolan and Wang, Jiayi and Khalvati, Farzad},
  booktitle={2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  pages={4108--4111},
  year={2024},
  organization={IEEE}
}

CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation Based on CelebA

Yutao Chen*, Yuxuan Zhang*, Zhongrui Huang, Zhenyao Luo, Jinpeng Chen (* equal contribution)

Knowledge Science, Engineering and Management (KSEM) 2021

Paper Video BibTeX

@inproceedings{chen2021celebhair,
  title={Celebhair: A new large-scale dataset for hairstyle recommendation based on celeba},
  author={Chen, Yutao and Zhang, Yuxuan and Huang, Zhongrui and Luo, Zhenyao and Chen, Jinpeng},
  booktitle={International Conference on Knowledge Science, Engineering and Management},
  pages={323--336},
  year={2021},
  organization={Springer}
}