| 2025 | ACL | Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation. | Fan Yin, Zifeng Wang, I-Hung Hsu, Jun Yan, Ke Jiang, Yanfei Chen, Jindong Gu, Long T. Le, Kai-Wei Chang, Chen-Yu Lee, Hamid Palangi, Tomas Pfister |
| 2025 | ICASSP | DUNE: Sim2Real Transfer for Depth-based Navigation in Unstructured Dynamic Indoor Environments. | Chaoyi Xu, Wen Liu, Jilong Wang, Lei Ma, Fan Yin, Zhongliang Deng |
| 2025 | ICLR | BingoGuard: LLM Content Moderation Tools with Risk Levels. | Fan Yin, Philippe Laban, Xiangyu Peng, Yilun Zhou, Yixin Mao, Vaibhav Vats, Linnea Ross, Divyansh Agarwal, Caiming Xiong, Chien-Sheng Wu |
| 2025 | IECON | Short-Term Prediction for Waste Heat Recovery Power Generation Based on Crossformer Network in Coke Dry Quenching Process. | Xiaochong Chen, Fan Yin, Yiheng Chen, Wen Zhang, Jie Hu, Jundong Wu, Min Wu |
| 2024 | ACL | Contrastive Instruction Tuning. | Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen |
| 2024 | EMNLP | Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation. | Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang |
| 2024 | ICML | Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension. | Fan Yin, Jayanth Srinivasa, Kai-Wei Chang |
| 2024 | ICML | On Prompt-Driven Safeguarding for Large Language Models. | Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng |
| 2024 | IJCNN | SAMS : One-Shot Learning for the Segment Anything Model Using Similar Images. | Fan Yin, Jun Li, Yifei Wei, Wei Zhang, Chaoyi Xu |
| 2023 | ACL | Efficient Shapley Values Estimation by Amortization for Text Classification. | Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang |
| 2023 | ACL | Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning. | Fan Yin, Jesse Vig, Philippe Laban, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu |
| 2023 | EMNLP | Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks. | Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng |
| 2023 | EMNLP | Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. | Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang |
| 2023 | ICCV | CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. | Hritik Bansal, Fan Yin, Nishad Singhi, Aditya Grover, Yu Yang, Kai-Wei Chang |
| 2022 | ACL | On the Sensitivity and Stability of Model Interpretations in NLP. | Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, Kai-Wei Chang |
| 2022 | EMNLP | ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation. | Fan Yin, Yao Li, Cho-Jui Hsieh, Kai-Wei Chang |
| 2022 | ICML | Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations. | Fan Yin, Jieying Jiao, Jun Yan, Guanyu Hu |
| 2020 | ACL | On the Robustness of Language Encoders against Grammatical Errors. | Fan Yin, Quanyu Long, Tao Meng, Kai-Wei Chang |
| 2019 | ACL | Entity-Relation Extraction as Multi-Turn Question Answering. | Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, Jiwei Li |