publications |

Full list and citation counts: Google Scholar.

2026

ModularRSI: Modular and Generalizable Recursive Harness Self-Improvement

Siwei Wu, Jincheng Ren, Yizhi Li, and 11 more authors

arXiv preprint arXiv:2609.14857, 2026

@article{wu2026modularrsi,
  title = {ModularRSI: Modular and Generalizable Recursive Harness Self-Improvement},
  author = {Wu, Siwei and Ren, Jincheng and Li, Yizhi and Li, Haau-Sing and Yang, Chengran and Zhang, Yuxuan and Gu, Weicheng and Yang, Jian and Batista-Navarro, Riza and Zhang, Chuanyi and Liu, Xianglong and Zhou, Ming and Dai, Bryan and Lin, Chenghua},
  journal = {arXiv preprint arXiv:2609.14857},
  year = {2026},
  date = {2026},
  url = {https://arxiv.org/abs/2609.14857},
}

arXiv

Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation

Lei Shi, Hanfeng Lin, Ziheng Zhu, and 9 more authors

arXiv preprint arXiv:2609.04298, 2026

arXiv Bib

@article{shi2026harbor,
  title = {Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation},
  author = {Shi, Lei and Lin, Hanfeng and Zhu, Ziheng and Zhou, Xin and Li, Xiang and Lin, Xin and Deng, Yang and Xu, Hao and Li, Yizhi and Li, Shaoling and Chen, Zhen and others},
  journal = {arXiv preprint arXiv:2609.04298},
  year = {2026},
  date = {2026},
  url = {https://arxiv.org/abs/2609.04298},
}

ICML

Large-Scale Terminal Agentic Trajectory Generation from Dockerized Environments

Siwei Wu, Yizhi Li, Yuyang Song, and 8 more authors

In International Conference on Machine Learning (ICML), 2026

ICML Outstanding Paper arXiv Bib Code

Outstanding Paper Award at ICML 2026.

@inproceedings{wu2026terminaltraj,
  title = {Large-Scale Terminal Agentic Trajectory Generation from Dockerized Environments},
  author = {Wu, Siwei and Li, Yizhi and Song, Yuyang and Zhang, Wei and Wang, Yang and Batista-Navarro, Riza and Yang, Xian and Tang, Mingjie and Dai, Bryan and Yang, Jian and Lin, Chenghua},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  date = {2026},
  url = {https://arxiv.org/abs/2602.01244},
}

arXiv

IQuest-Coder-V1 Technical Report

Jian Yang, Wei Zhang, Shawn Guo, and 9 more authors

arXiv preprint arXiv:2603.16733, 2026

arXiv Bib Code

@article{yang2026iquestcoder,
  title = {IQuest-Coder-V1 Technical Report},
  author = {Yang, Jian and Zhang, Wei and Guo, Shawn and Ye, Zhengmao and Jing, Lin and Liu, Shark and Li, Yizhi and Wu, Jiajun and Liu, Cening and Song, Yuyang and Wu, Siwei and others},
  journal = {arXiv preprint arXiv:2603.16733},
  year = {2026},
  date = {2026},
  url = {https://arxiv.org/abs/2603.16733},
}

arXiv

InCoder-32B: Code Foundation Model for Industrial Scenarios

Jian Yang, Wei Zhang, Jiajun Wu, and 9 more authors

arXiv preprint arXiv:2603.16790, 2026

arXiv Bib

@article{yang2026incoder,
  title = {InCoder-32B: Code Foundation Model for Industrial Scenarios},
  author = {Yang, Jian and Zhang, Wei and Wu, Jiajun and Cheng, Junhang and Guo, Shawn and Wang, Haowen and Gu, Weicheng and Du, Yaxin and Li, Joseph and Xu, Fanglin and Li, Yizhi and others},
  journal = {arXiv preprint arXiv:2603.16790},
  year = {2026},
  date = {2026},
  url = {https://arxiv.org/abs/2603.16790},
}

arXiv

A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression

Jincheng Ren, Siwei Wu, Yizhi Li, and 8 more authors

arXiv preprint arXiv:2604.19572, 2026

arXiv Bib

@article{ren2026selfevolving,
  title = {A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression},
  author = {Ren, Jincheng and Wu, Siwei and Li, Yizhi and Zhu, Kang and Xu, Shu and Feng, Boyu and Yuan, Ruibin and Zhang, Wei and Batista-Navarro, Riza and Yang, Jian and Lin, Chenghua},
  journal = {arXiv preprint arXiv:2604.19572},
  year = {2026},
  date = {2026},
  url = {https://arxiv.org/abs/2604.19572},
}

ACL

HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution

Hanhua Hong, Yizhi Li, Jiaxin Chen, and 4 more authors

In Findings of the Association for Computational Linguistics: ACL 2026, 2026

Bib

@inproceedings{hong2026hiras,
  title = {HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution},
  author = {Hong, Hanhua and Li, Yizhi and Chen, Jiaxin and Ananiadou, Sophia and Li, Xiang and Kim, Jungbae and Lin, Chenghua},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2026},
  pages = {7624--7652},
  year = {2026},
  date = {2026},
}

ACL

Context as a Tool: Context Management for Long-Horizon SWE-Agents

Shanchao Liu, Bingchang Jiang, Jian Yang, and 4 more authors

In Findings of the Association for Computational Linguistics: ACL 2026, 2026

Bib

@inproceedings{liu2026context,
  title = {Context as a Tool: Context Management for Long-Horizon SWE-Agents},
  author = {Liu, Shanchao and Jiang, Bingchang and Yang, Jian and Li, Yizhi and Guo, Jiawei and Liu, Xiang and Dai, Bryan},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2026},
  pages = {20604--20617},
  year = {2026},
  date = {2026},
}

ICLR

AcadReason: Exploring the Limits of Reasoning Models with Academic Research Problems

Xin Gui, Jincheng Ren, Qi Chen, and 7 more authors

In International Conference on Learning Representations (ICLR), 2026

Bib

@inproceedings{gui2026acadreason,
  title = {AcadReason: Exploring the Limits of Reasoning Models with Academic Research Problems},
  author = {Gui, Xin and Ren, Jincheng and Chen, Qi and Wang, Zhen and Li, Yizhi and Liu, Xiang and Ren, Wangwei and Miao, Lei and Qin, Tao and others},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  date = {2026},
}

ICLR

ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding

David Ma, Huaqing Yuan, Xingjian Wang, and 8 more authors

In International Conference on Learning Representations (ICLR), 2026

Bib

@inproceedings{ma2026scalelong,
  title = {ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding},
  author = {Ma, David and Yuan, Huaqing and Wang, Xingjian and Zang, Qianbo and Liu, Tianci and He, Xinyang and Wei, Yanbin and Guo, Jiawei and Yang, Zhenzhu and Cao, Meng and others},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  date = {2026},
}

ICLR

OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs

Caorui Li, Yu Chen, Yiyan Ji, and 8 more authors

In International Conference on Learning Representations (ICLR), 2026

arXiv Bib

@inproceedings{li2026omnivideobench,
  title = {OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs},
  author = {Li, Caorui and Chen, Yu and Ji, Yiyan and Xu, Jin and Cui, Zhenyu and Li, Shihao and Zhang, Yuanxing and Song, Zhifei and Zhang, Dehui and Li, Yizhi and others},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  date = {2026},
  url = {https://arxiv.org/abs/2510.10689},
}

ICLR

YuE: Scaling Open Foundation Models for Long-Form Music Generation

Ruibin Yuan, Hanfeng Lin, Shuyue Guo, and 18 more authors

In International Conference on Learning Representations (ICLR), 2026

arXiv Bib Code Website

@inproceedings{yuan2026yue,
  title = {YuE: Scaling Open Foundation Models for Long-Form Music Generation},
  author = {Yuan, Ruibin and Lin, Hanfeng and Guo, Shuyue and Zhang, Ge and Pan, Jiahao and Zang, Yongyi and Liu, Haohe and Liang, Yiming and Ma, Wenye and Du, Xingjian and Du, Xinrun and Ye, Zhen and Zheng, Tianyu and Ma, Yinghao and Liu, Minghao and Tian, Zeyue and Zhou, Ziya and Xue, Liumeng and Qu, Xingwei and Li, Yizhi and others},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  date = {2026},
  url = {https://arxiv.org/abs/2503.08638},
}

EACL

MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models

Siwei Wu, Kang Zhu, Yuelin Bai, and 8 more authors

In Findings of the Association for Computational Linguistics: EACL 2026, 2026

arXiv Bib

@inproceedings{wu2026mmra,
  title = {MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models},
  author = {Wu, Siwei and Zhu, Kang and Bai, Yuelin and Liang, Yiming and Li, Yizhi and Wu, Haoning and Liu, Jiaheng and Liu, Ruibo and Qu, Xingwei and Cheng, Xuxin and others},
  booktitle = {Findings of the Association for Computational Linguistics: EACL 2026},
  pages = {5405--5419},
  year = {2026},
  date = {2026},
  url = {https://arxiv.org/abs/2407.17379},
}

arXiv

Dynamics within Latent Chain-of-Thought: An Empirical Study of Causal Structure

Zhaoqun Li, Xuanle Bai, Kai Chen, and 4 more authors

arXiv preprint arXiv:2602.08783, 2026

arXiv Bib

@article{li2026latentcot,
  title = {Dynamics within Latent Chain-of-Thought: An Empirical Study of Causal Structure},
  author = {Li, Zhaoqun and Bai, Xuanle and Chen, Kai and Li, Yizhi and Yang, Jian and Lin, Chenghua and Zhang, Min},
  journal = {arXiv preprint arXiv:2602.08783},
  year = {2026},
  date = {2026},
  url = {https://arxiv.org/abs/2602.08783},
}

2025

arXiv

Encyclo-K: Evaluating LLMs with Dynamically Composed Knowledge Statements

Yiming Liang, Yizhi Li, Yantao Du, and 14 more authors

arXiv preprint arXiv:2512.24867, 2025

arXiv Bib

@article{liang2025encyclok,
  title = {Encyclo-K: Evaluating LLMs with Dynamically Composed Knowledge Statements},
  author = {Liang, Yiming and Li, Yizhi and Du, Yantao and Zhang, Ge and Zhou, Jiayi and Wu, Yuchen and Piao, Yinzhu and Cao, Denghui and Sun, Tong and Li, Ziniu and Du, Li and Lei, Bo and Liu, Jiaheng and Lin, Chenghua and Zhang, Zhaoxiang and Huang, Wenhao and Zhang, Jiajun},
  journal = {arXiv preprint arXiv:2512.24867},
  year = {2025},
  date = {2025},
  url = {https://arxiv.org/abs/2512.24867},
}

arXiv

Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space

Xingwei Qu, Shaowen Wang, Zihao Huang, and 8 more authors

arXiv preprint arXiv:2512.24617, 2025

arXiv Bib

@article{qu2025dlcm,
  title = {Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space},
  author = {Qu, Xingwei and Wang, Shaowen and Huang, Zihao and Hua, Kai and Yin, Fan and Zhu, Rui-Jie and Zhou, Jundong and Min, Qiyang and Wang, Zihao and Li, Yizhi and others},
  journal = {arXiv preprint arXiv:2512.24617},
  year = {2025},
  date = {2025},
  url = {https://arxiv.org/abs/2512.24617},
}

arXiv

CodeSimpleQA: Scaling Factuality in Code Large Language Models

Jian Yang, Wei Zhang, Yizhi Li, and 8 more authors

arXiv preprint arXiv:2512.19424, 2025

arXiv Bib

@article{yang2025codesimpleqa,
  title = {CodeSimpleQA: Scaling Factuality in Code Large Language Models},
  author = {Yang, Jian and Zhang, Wei and Li, Yizhi and Guo, Shawn and Wang, Haowen and Liu, Aishan and Zhang, Ge and Wang, Zili and Li, Zhoujun and Liu, Xianglong and Lv, Weifeng},
  journal = {arXiv preprint arXiv:2512.19424},
  year = {2025},
  date = {2025},
  url = {https://arxiv.org/abs/2512.19424},
}

arXiv

From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence

Jian Yang, Xianglong Liu, Weifeng Lv, and 5 more authors

arXiv preprint arXiv:2511.18538, 2025

arXiv Bib

@article{yang2025codeintelligence,
  title = {From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence},
  author = {Yang, Jian and Liu, Xianglong and Lv, Weifeng and Deng, Ken and Guo, Shawn and Jing, Lin and Li, Yizhi and others},
  journal = {arXiv preprint arXiv:2511.18538},
  year = {2025},
  date = {2025},
  url = {https://arxiv.org/abs/2511.18538},
}

NeurIPS

OmniBench: Towards the Future of Universal Omni-Language Models

Yizhi Li, Ge Zhang, Yinghao Ma, and 8 more authors

In Advances in Neural Information Processing Systems (NeurIPS), 2025

arXiv Bib Code

@inproceedings{li2025omnibench,
  title = {OmniBench: Towards the Future of Universal Omni-Language Models},
  author = {Li, Yizhi and Zhang, Ge and Ma, Yinghao and Yuan, Ruibin and Zhu, Kang and Guo, Hangyu and Liang, Yiming and Liu, Jiaheng and Yang, Jian and Wu, Siwei and others},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  date = {2025},
  url = {https://arxiv.org/abs/2409.15272},
}

NeurIPS

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

M-A-P Team, Xinrun Du, Yifan Yao, and 19 more authors

In Advances in Neural Information Processing Systems (NeurIPS), 2025

arXiv Bib

@inproceedings{mapteam2025supergpqa,
  title = {SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines},
  author = {Team, M-A-P and Du, Xinrun and Yao, Yifan and Ma, Kaijing and Wang, Bingli and Zheng, Tianyu and Zhu, King and Liu, Minghao and Liang, Yiming and Jin, Xiaolong and Wei, Zhenlin and Zheng, Chujie and Deng, Kaixin and Gavin, Shawn and Jia, Shian and Jiang, Sichao and Liao, Yiyan and Li, Rui and Li, Qinrui and Li, Sirun and Li, Yizhi and others},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  date = {2025},
  url = {https://arxiv.org/abs/2502.14739},
}

arXiv

TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling

Yizhi Li, Qingshui Gu, Zhoufutu Wen, and 14 more authors

arXiv preprint arXiv:2508.17445, 2025

arXiv Bib Website

@article{li2025treepo,
  title = {TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling},
  author = {Li, Yizhi and Gu, Qingshui and Wen, Zhoufutu and Li, Ziniu and Xing, Tianshun and Guo, Shuyue and Zheng, Tianyu and Zhou, Xin and Qu, Xingwei and Zhou, Wangchunshu and Zhang, Zheng and Shen, Wei and Liu, Qian and Lin, Chenghua and Yang, Jian and Zhang, Ge and Huang, Wenhao},
  journal = {arXiv preprint arXiv:2508.17445},
  year = {2025},
  date = {2025},
  url = {https://arxiv.org/abs/2508.17445},
}

arXiv

First Return, Entropy-Eliciting Explore

Tianyu Zheng, Tianshun Xing, Qingshui Gu, and 10 more authors

arXiv preprint arXiv:2507.07017, 2025

arXiv Bib

@article{zheng2025firstreturn,
  title = {First Return, Entropy-Eliciting Explore},
  author = {Zheng, Tianyu and Xing, Tianshun and Gu, Qingshui and Liang, Taoran and Qu, Xingwei and Zhou, Xin and Li, Yizhi and Wen, Zhoufutu and Lin, Chenghua and Huang, Wenhao and Liu, Qian and Zhang, Ge and Ma, Zejun},
  journal = {arXiv preprint arXiv:2507.07017},
  year = {2025},
  date = {2025},
  url = {https://arxiv.org/abs/2507.07017},
}

NLPCC

Overview of the NLPCC 2025 Shared Task: Gender Bias Mitigation Challenge

Yizhi Li, Ge Zhang, Hanhua Hong, and 2 more authors

In CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), 2025

arXiv Bib

@inproceedings{li2025nlpcc,
  title = {Overview of the NLPCC 2025 Shared Task: Gender Bias Mitigation Challenge},
  author = {Li, Yizhi and Zhang, Ge and Hong, Hanhua and Wang, Yiwen and Lin, Chenghua},
  booktitle = {CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC)},
  year = {2025},
  date = {2025},
  url = {https://arxiv.org/abs/2506.12574},
}

ACL

MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale

Jiawei Guo, Tianyu Zheng, Yizhi Li, and 7 more authors

In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025

DOI Bib HTML Website

@inproceedings{guo2025mammothvl,
  title = {MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale},
  author = {Guo, Jiawei and Zheng, Tianyu and Li, Yizhi and Bai, Yuelin and Li, Bo and Wang, Yubo and Zhu, King and Neubig, Graham and Chen, Wenhu and Yue, Xiang},
  booktitle = {Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL)},
  address = {Vienna, Austria},
  year = {2025},
  date = {2025},
  doi = {10.18653/v1/2025.acl-long.680},
  url = {https://aclanthology.org/2025.acl-long.680/},
}

ACL

LIME: Less Is More for MLLM Evaluation

Kang Zhu, Qianbo Zang, Shian Jia, and 8 more authors

In Findings of the Association for Computational Linguistics: ACL 2025, 2025

Bib

@inproceedings{zhu2025lime,
  title = {LIME: Less Is More for MLLM Evaluation},
  author = {Zhu, Kang and Zang, Qianbo and Jia, Shian and Wu, Siwei and Fang, Feiteng and Li, Yizhi and Guo, Shuyue and Zheng, Tianyu and Guo, Jiawei and Li, Bo and others},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2025},
  pages = {9086--9121},
  year = {2025},
  date = {2025},
}

EMNLP

MIO: A Foundation Model on Multimodal Tokens

Zekun Moore Wang, Kang Zhu, Chunpu Xu, and 8 more authors

In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025

Bib

@inproceedings{wang2025mio,
  title = {MIO: A Foundation Model on Multimodal Tokens},
  author = {Wang, Zekun Moore and Zhu, Kang and Xu, Chunpu and Zhou, Wangchunshu and Liu, Jiaheng and Zhang, Yibo and Wang, Jiashuo and Shi, Ning and Li, Siyu and Li, Yizhi and others},
  booktitle = {Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year = {2025},
  date = {2025},
}

EMNLP

DocMMIR: A Framework for Document Multi-modal Information Retrieval

Zirui Li, Siwei Wu, Xingyu Wang, and 3 more authors

In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025

Bib

@inproceedings{li2025docmmir,
  title = {DocMMIR: A Framework for Document Multi-modal Information Retrieval},
  author = {Li, Zirui and Wu, Siwei and Wang, Xingyu and Zhou, Yi and Li, Yizhi and Lin, Chenghua},
  booktitle = {Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year = {2025},
  date = {2025},
}

TMLR

Re:Form – Reducing Human Priors in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny

Chuanhao Yan, Fengdi Che, Xuhan Huang, and 8 more authors

Transactions on Machine Learning Research (TMLR), 2025

Bib

@article{yan2025reform,
  title = {Re:Form -- Reducing Human Priors in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny},
  author = {Yan, Chuanhao and Che, Fengdi and Huang, Xuhan and Xu, Xu and Li, Xin and Li, Yizhi and Qu, Xingwei and Shi, Jingzhe and Lin, Chenghua and Yang, Yaodong and others},
  journal = {Transactions on Machine Learning Research (TMLR)},
  year = {2025},
  date = {2025},
}

arXiv

LongEval: A Comprehensive Analysis of Long-Text Generation Through a Plan-based Paradigm

Siwei Wu, Yizhi Li, Xingwei Qu, and 7 more authors

arXiv preprint arXiv:2502.19103, 2025

arXiv Bib

@article{wu2025longeval,
  title = {LongEval: A Comprehensive Analysis of Long-Text Generation Through a Plan-based Paradigm},
  author = {Wu, Siwei and Li, Yizhi and Qu, Xingwei and Ravikumar, Rishi and Li, Yucheng and Loakman, Tyler and Quan, Shanghaoran and Wei, Xiaoyong and Batista-Navarro, Riza and Lin, Chenghua},
  journal = {arXiv preprint arXiv:2502.19103},
  year = {2025},
  date = {2025},
  url = {https://arxiv.org/abs/2502.19103},
}

ICLR

MuPT: A Generative Symbolic Music Pretrained Transformer

Xingwei Qu, Yinghao Ma, Chaoyang Zhou, and 8 more authors

In International Conference on Learning Representations (ICLR), 2025

arXiv Bib

@inproceedings{qu2025mupt,
  title = {MuPT: A Generative Symbolic Music Pretrained Transformer},
  author = {Qu, Xingwei and Ma, Yinghao and Zhou, Chaoyang and Lo, Ka Man and Liu, Jiaheng and Yuan, Ruibin and Min, Lejun and Liu, Xueling and Zhang, Tianyu and Du, Xinrun and others},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  date = {2025},
  url = {https://arxiv.org/abs/2404.06393},
}

ICLR

Bridging the Data Provenance Gap across Text, Speech, and Video

Shayne Longpre, Nikhil Singh, Manuel Cherep, and 4 more authors

In International Conference on Learning Representations (ICLR), 2025

Bib

@inproceedings{longpre2025provenance,
  title = {Bridging the Data Provenance Gap across Text, Speech, and Video},
  author = {Longpre, Shayne and Singh, Nikhil and Cherep, Manuel and Tiwary, Kushagra and Materzynska, Joanna and Brannon, William and others},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  date = {2025},
}

2024

NeurIPS

Consent in Crisis: The Rapid Decline of the AI Data Commons

Shayne Longpre, Robert Mahari, Ariel Lee, and 4 more authors

In Advances in Neural Information Processing Systems (NeurIPS), 2024

arXiv Bib

@inproceedings{longpre2024consent,
  title = {Consent in Crisis: The Rapid Decline of the AI Data Commons},
  author = {Longpre, Shayne and Mahari, Robert and Lee, Ariel and Lund, Campbell and Oderinwale, Hamidah and Brannon, William and others},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  date = {2024},
  url = {https://arxiv.org/abs/2407.14933},
}

arXiv

Foundation Models for Music: A Survey

Yinghao Ma, Anders Øland, Anton Ragni, and 8 more authors

arXiv preprint arXiv:2408.14340, 2024

arXiv Bib

@article{ma2024foundation,
  title = {Foundation Models for Music: A Survey},
  author = {Ma, Yinghao and {\O}land, Anders and Ragni, Anton and Sette, Bleiz MacSen Del and Saitis, Charalampos and Donahue, Chris and Lin, Chenghua and Plachouras, Christos and Benetos, Emmanouil and Quinton, Elio and others},
  journal = {arXiv preprint arXiv:2408.14340},
  year = {2024},
  date = {2024},
  url = {https://arxiv.org/abs/2408.14340},
}

ACL

SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval

Siwei Wu, Yizhi Li, Kang Zhu, and 7 more authors

In Findings of the Association for Computational Linguistics: ACL 2024, 2024

arXiv Bib

@inproceedings{wu2024scimmir,
  title = {SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval},
  author = {Wu, Siwei and Li, Yizhi and Zhu, Kang and Zhang, Ge and Liang, Yiming and Ma, Kaijing and Xiao, Chenghao and Zhang, Haoran and Yang, Bohao and others},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2024},
  pages = {12560--12574},
  year = {2024},
  date = {2024},
  url = {https://arxiv.org/abs/2401.13478},
}

ACL

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models

Yizhi Li, Ge Zhang, Xingwei Qu, and 8 more authors

In Findings of the Association for Computational Linguistics: ACL 2024, 2024

Bib HTML

@inproceedings{li2024cif,
  title = {CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models},
  author = {Li, Yizhi and Zhang, Ge and Qu, Xingwei and Li, Jiali and Li, Zhaoqun and Wang, Zekun and Li, Hao and Yuan, Ruibin and Ma, Yinghao and Zhang, Kai and others},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2024},
  year = {2024},
  date = {2024},
  url = {https://aclanthology.org/2024.findings-acl.739/},
}

arXiv

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series

Ge Zhang, Scott Qu, Jiaheng Liu, and 9 more authors

arXiv preprint arXiv:2405.19327, 2024

arXiv Bib Code

@article{zhang2024mapneo,
  title = {MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series},
  author = {Zhang, Ge and Qu, Scott and Liu, Jiaheng and Zhang, Chenchen and Lin, Chenghua and Yu, Chou Leuang and Pan, Danny and Cheng, Esther and Liu, Jie and Lin, Qunshu and Li, Yizhi and others},
  journal = {arXiv preprint arXiv:2405.19327},
  year = {2024},
  date = {2024},
  url = {https://arxiv.org/abs/2405.19327},
}

ACL

ChatMusician: Understanding and Generating Music Intrinsically with LLM

Ruibin Yuan, Hanfeng Lin, Yi Wang, and 7 more authors

In Findings of the Association for Computational Linguistics: ACL 2024, 2024

arXiv Bib

@inproceedings{yuan2024chatmusician,
  title = {ChatMusician: Understanding and Generating Music Intrinsically with LLM},
  author = {Yuan, Ruibin and Lin, Hanfeng and Wang, Yi and Tian, Zeyue and Wu, Shangda and Shen, Tianhao and Zhang, Ge and Wu, Yuhang and Liu, Cong and others},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2024},
  pages = {6252--6271},
  year = {2024},
  date = {2024},
  url = {https://arxiv.org/abs/2402.16153},
}

ICLR

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training

Yizhi Li, Ruibin Yuan, Ge Zhang, and 15 more authors

In International Conference on Learning Representations (ICLR), 2024

arXiv Bib HTML Code

@inproceedings{li2024mert,
  title = {MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training},
  author = {Li, Yizhi and Yuan, Ruibin and Zhang, Ge and Ma, Yinghao and Chen, Xingran and Yin, Hanzhi and Lin, Chenghua and Ragni, Anton and Benetos, Emmanouil and Gyenge, Norbert and Dannenberg, Roger and Liu, Ruibo and Chen, Wenhu and Xia, Gus and Shi, Yemin and Huang, Wenhao and Guo, Yike and Fu, Jie},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  date = {2024},
  url = {https://openreview.net/forum?id=w3YZ9MSlBu},
}

2023

NeurIPS

MARBLE: Music Audio Representation Benchmark for Universal Evaluation

Ruibin Yuan, Yinghao Ma, Yizhi Li, and 8 more authors

In Advances in Neural Information Processing Systems (NeurIPS), 2023

Bib HTML

@inproceedings{yuan2023marble,
  title = {MARBLE: Music Audio Representation Benchmark for Universal Evaluation},
  author = {Yuan, Ruibin and Ma, Yinghao and Li, Yizhi and Zhang, Ge and Chen, Xingran and Yin, Hanzhi and Zhuo, Le and Liu, Yiqi and Huang, Jiawen and Tian, Zeyue and others},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  date = {2023},
  url = {https://proceedings.neurips.cc/paper_files/paper/2023/hash/7cbeec46f979618beafb4f46d8f39f36-Abstract-Datasets_and_Benchmarks.html},
}

ISMIR

On the Effectiveness of Speech Self-supervised Learning for Music

Yinghao Ma, Ruibin Yuan, Yizhi Li, and 7 more authors

In International Society for Music Information Retrieval Conference (ISMIR), 2023

arXiv Bib

@inproceedings{ma2023speechssl,
  title = {On the Effectiveness of Speech Self-supervised Learning for Music},
  author = {Ma, Yinghao and Yuan, Ruibin and Li, Yizhi and Zhang, Ge and Chen, Xingran and Yin, Hanzhi and Lin, Chenghua and Benetos, Emmanouil and Ragni, Anton and others},
  booktitle = {International Society for Music Information Retrieval Conference (ISMIR)},
  year = {2023},
  date = {2023},
  url = {https://arxiv.org/abs/2307.05161},
}

ISMIR

LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT

Le Zhuo, Ruibin Yuan, Jiahao Pan, and 7 more authors

In International Society for Music Information Retrieval Conference (ISMIR), 2023

arXiv Bib

@inproceedings{zhuo2023lyricwhiz,
  title = {LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT},
  author = {Zhuo, Le and Yuan, Ruibin and Pan, Jiahao and Ma, Yinghao and Li, Yizhi and Zhang, Ge and Liu, Si and Dannenberg, Roger and Fu, Jie and others},
  booktitle = {International Society for Music Information Retrieval Conference (ISMIR)},
  year = {2023},
  date = {2023},
  url = {https://arxiv.org/abs/2306.17103},
}

EMNLP

Length is a Curse and a Blessing for Document-level Semantics

Chenghao Xiao, Yizhi Li, G Thomas Hudson, and 2 more authors

In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023

arXiv Bib

@inproceedings{xiao2023length,
  title = {Length is a Curse and a Blessing for Document-level Semantics},
  author = {Xiao, Chenghao and Li, Yizhi and Hudson, G Thomas and Lin, Chenghua and Moubayed, Noura Al},
  booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year = {2023},
  date = {2023},
  url = {https://arxiv.org/abs/2310.16193},
}

arXiv

Interactive Natural Language Processing

Zekun Wang, Ge Zhang, Kexin Yang, and 8 more authors

arXiv preprint arXiv:2305.13246, 2023

arXiv Bib

@article{wang2023interactive,
  title = {Interactive Natural Language Processing},
  author = {Wang, Zekun and Zhang, Ge and Yang, Kexin and Shi, Ning and Zhou, Wangchunshu and Hao, Shaochun and Xiong, Guangzheng and Li, Yizhi and Sim, Mong Yuan and Chen, Xiuying and others},
  journal = {arXiv preprint arXiv:2305.13246},
  year = {2023},
  date = {2023},
  url = {https://arxiv.org/abs/2305.13246},
}

arXiv

Chinese Open Instruction Generalist: A Preliminary Release

Ge Zhang, Yemin Shi, Ruibo Liu, and 8 more authors

arXiv preprint arXiv:2304.07987, 2023

arXiv Bib

@article{zhang2023coig,
  title = {Chinese Open Instruction Generalist: A Preliminary Release},
  author = {Zhang, Ge and Shi, Yemin and Liu, Ruibo and Yuan, Ruibin and Li, Yizhi and Dong, Siwei and Shu, Yu and Li, Zhaoqun and Wang, Zekun and Lin, Chenghua and others},
  journal = {arXiv preprint arXiv:2304.07987},
  year = {2023},
  date = {2023},
  url = {https://arxiv.org/abs/2304.07987},
}

arXiv

CORGI-PM: A Chinese Corpus for Gender Bias Probing and Mitigation

Ge Zhang, Yizhi Li, Yaoyao Wu, and 5 more authors

arXiv preprint arXiv:2301.00395, 2023

arXiv Bib

@article{zhang2023corgi,
  title = {CORGI-PM: A Chinese Corpus for Gender Bias Probing and Mitigation},
  author = {Zhang, Ge and Li, Yizhi and Wu, Yaoyao and Zhang, Linyuan and Lin, Chenghua and Geng, Jiayi and Wang, Shi and Fu, Jie},
  journal = {arXiv preprint arXiv:2301.00395},
  year = {2023},
  date = {2023},
  url = {https://arxiv.org/abs/2301.00395},
}

2022

arXiv

MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning

Yizhi Li, Ruibin Yuan, Ge Zhang, and 8 more authors

arXiv preprint arXiv:2212.02508, 2022

arXiv Bib

@article{li2022music2vec,
  title = {MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning},
  author = {Li, Yizhi and Yuan, Ruibin and Zhang, Ge and Ma, Yinghao and Lin, Chenghua and Chen, Xingran and Ragni, Anton and Yin, Hanzhi and Hu, Zhijie and He, Haoyu and others},
  journal = {arXiv preprint arXiv:2212.02508},
  year = {2022},
  date = {2022},
  url = {https://arxiv.org/abs/2212.02508},
}

AACL

HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models

Yizhi Li, Ge Zhang, Bohao Yang, and 4 more authors

In Findings of AACL-IJCNLP 2022, 2022

arXiv Bib

@inproceedings{li2022herb,
  title = {HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models},
  author = {Li, Yizhi and Zhang, Ge and Yang, Bohao and Lin, Chenghua and Wang, Shi and Ragni, Anton and Fu, Jie},
  booktitle = {Findings of AACL-IJCNLP 2022},
  pages = {334--346},
  year = {2022},
  date = {2022},
  url = {https://arxiv.org/abs/2211.02882},
}

EMNLP

TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction

Yizhi Li, Wei Fan, Chao Liu, and 2 more authors

In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022

arXiv Bib

@inproceedings{li2022transher,
  title = {TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction},
  author = {Li, Yizhi and Fan, Wei and Liu, Chao and Lin, Chenghua and Qian, Jiang},
  booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year = {2022},
  date = {2022},
  url = {https://arxiv.org/abs/2204.13221},
}

2021

SIGIR

More Robust Dense Retrieval with Contrastive Dual Learning

Yizhi Li, Zhenghao Liu, Chenyan Xiong, and 1 more author

In Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval, 2021

arXiv Bib

@inproceedings{li2021more,
  title = {More Robust Dense Retrieval with Contrastive Dual Learning},
  author = {Li, Yizhi and Liu, Zhenghao and Xiong, Chenyan and Liu, Zhiyuan},
  booktitle = {Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval},
  pages = {287--296},
  year = {2021},
  date = {2021},
  url = {https://arxiv.org/abs/2107.07773},
}

Sci. Rep.

From Rumor to Genetic Mutation Detection with Explanations: A GAN Approach

Mingxi Cheng, Yizhi Li, Shahin Nazarian, and 1 more author

Scientific Reports, 2021

Bib HTML

@article{cheng2021rumor,
  title = {From Rumor to Genetic Mutation Detection with Explanations: A GAN Approach},
  author = {Cheng, Mingxi and Li, Yizhi and Nazarian, Shahin and Bogdan, Paul},
  journal = {Scientific Reports},
  volume = {11},
  number = {1},
  pages = {5861},
  year = {2021},
  date = {2021},
  publisher = {Nature Publishing Group},
  url = {https://www.nature.com/articles/s41598-021-84993-1},
}