Xudong Han
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
10
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Control Illusion: The Failure of Instruction Hierarchies in Large Language Models. | Yilin Geng, Haonan Li, Honglin Mu, Xudong Han, Timothy Baldwin, Omri Abend, Eduard H. Hovy, Lea Frermann |
| 2026 | EACL | Nanda Family: Open-Weights Generative Large Language Models for Hindi. | Aaryamonvikram Singh, Debopriyo Banerjee, Dhruv Sahnan, Monojit Choudhury, Shivam Chauhan, Rocktim Jyoti Das, Xudong Han, Haonan Li, Alok Anil Jadhav, Utkarsh Agarwal, Mukund Choudhary, Fajri Koto, Junaid Bhat, Awantika Shukla, Samujjwal Ghosh, Samta Kamboj, Onkar Pandit, Lalit Pradhan, Rahul Pal, Sunil Kumar Sahu, Parvez Mullah, Ali El Filali, Zainul Abedien Ahmed Quraishi, Neha Sengupta, Gokul Ramakrishnan, Rituraj Joshi, Gurpreet Gosal, Avraham Sheinin, Natalia Vassilieva, Preslav Nakov |
| 2026 | EACL | SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning. | Renxi Wang, Honglin Mu, Liqun Ma, Lizhi Lin, Yunlong Feng, Timothy Baldwin, Xudong Han, Haonan Li |
| 2025 | COLING | Loki: An Open-Source Tool for Fact Verification. | Haonan Li, Xudong Han, Hao Wang, Yuxia Wang, Minghan Wang, Rui Xing, Yilin Geng, Zenan Zhai, Preslav Nakov, Timothy Baldwin |
| 2025 | ICLR | ToolGen: Unified Tool Retrieval and Calling via Generation. | Renxi Wang, Xudong Han, Lei Ji, Shu Wang, Timothy Baldwin, Haonan Li |
| 2025 | NAACL | Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. | Haonan Li, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Cong Zeng, Tatsuki Kuribayashi, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Xuguang Ren, Eduard H. Hovy, Iryna Gurevych, Preslav Nakov, Monojit Choudhury, Timothy Baldwin |
| 2025 | NAACL | Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring. | Honglin Mu, Han He, Yuxin Zhou, Yunlong Feng, Yang Xu, Libo Qin, Xiaoming Shi, Zeming Liu, Xudong Han, Qi Shi, Qingfu Zhu, Wanxiang Che |
| 2025 | NAACL | NAT: Enhancing Agent Tuning with Negative Samples. | Renxi Wang, Xudong Han, Yixuan Zhang, Timothy Baldwin, Haonan Li |
| 2025 | SMC | Exploring Video-Based Driver Activity Recognition under Noisy Labels. | Linjuan Fan, Di Wen, Kunyu Peng, Kailun Yang, Jiaming Zhang, Ruiping Liu, Yufan Chen, Junwei Zheng, Jiamin Wu, Xudong Han, Rainer Stiefelhagen |
| 2024 | ACL | Demystifying Instruction Mixing for Fine-tuning Large Language Models. | Renxi Wang, Haonan Li, Minghao Wu, Yuxia Wang, Xudong Han, Chiyu Zhang, Timothy Baldwin |
| 2024 | ACL | A Chinese Dataset for Evaluating the Safeguards in Large Language Models. | Yuxia Wang, Zenan Zhai, Haonan Li, Xudong Han, Shom Lin, Zhenxuan Zhang, Angela Zhao, Preslav Nakov, Timothy Baldwin |
| 2024 | EACL | Do-Not-Answer: Evaluating Safeguards in LLMs. | Yuxia Wang, Haonan Li, Xudong Han, Preslav Nakov, Timothy Baldwin |
| 2023 | EACL | Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP. | Xudong Han, Timothy Baldwin, Trevor Cohn |
| 2023 | ICLR | Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation. | Xudong Han, Timothy Baldwin, Trevor Cohn |
| 2023 | IJCNLP | Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability? | Gleb Kuzmin, Artem Vazhentsev, Artem Shelmanov, Xudong Han, Simon Suster, Maxim Panov, Alexander Panchenko, Timothy Baldwin |
| 2022 | EMNLP | Balancing out Bias: Achieving Fairness Through Balanced Training. | Xudong Han, Timothy Baldwin, Trevor Cohn |
| 2022 | EMNLP | FairLib: A Unified Framework for Assessing and Improving Fairness. | Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn |
| 2022 | IJCNLP | Systematic Evaluation of Predictive Fairness. | Xudong Han, Aili Shen, Trevor Cohn, Timothy Baldwin, Lea Frermann |
| 2022 | IJCNLP | Does Representational Fairness Imply Empirical Fairness? | Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann |
| 2022 | NAACL | Optimising Equal Opportunity Fairness in Model Training. | Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann |
| 2021 | ACL | Decoupling Adversarial Training for Fair NLP. | Xudong Han, Timothy Baldwin, Trevor Cohn |
| 2021 | CoRL | Visual Learning Towards Soft Robot Force Control using a 3D Metamaterial with Differential Stiffness. | Fang Wan, Xiaobo Liu, Ning Guo, Xudong Han, Feng Tian, Chaoyang Song |
| 2021 | EACL | Diverse Adversaries for Mitigating Bias in Training. | Xudong Han, Timothy Baldwin, Trevor Cohn |
| 2021 | EMNLP | Evaluating Debiasing Techniques for Intersectional Biases. | Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann |
| 2019 | EMNLP | Grounding learning of modifier dynamics: An application to color naming. | Xudong Han, Philip Schulz, Trevor Cohn |