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ORCIDFan Yin
Publications
- 2025
[c25]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:
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation. ACL (1) 2025: 32600-32616- [i24]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:
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation. CoRR abs/2503.07826 (2025) - [i23]Yihe Deng, Hritik Bansal, Fan Yin, Nanyun Peng, Wei Wang, Kai-Wei Chang:
OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement. CoRR abs/2503.17352 (2025) - 2024
- [j11]Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho-Jui Hsieh:
Red Teaming Language Model Detectors with Language Models. Trans. Assoc. Comput. Linguistics 12: 174-189 (2024) - [c20]Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang:
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation. EMNLP 2024: 9390-9406 - [c18]Fan Yin, Jayanth Srinivasa, Kai-Wei Chang:
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension. ICML 2024 - [c17]Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng:
On Prompt-Driven Safeguarding for Large Language Models. ICML 2024 - [c15]Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, Quanquan Gu, James Y. Zou, Kai-Wei Chang, Wei Wang:
Enhancing Large Vision Language Models with Self-Training on Image Comprehension. NeurIPS 2024 - [i22]Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng:
Prompt-Driven LLM Safeguarding via Directed Representation Optimization. CoRR abs/2401.18018 (2024) - [i20]Fan Yin, Jayanth Srinivasa, Kai-Wei Chang:
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension. CoRR abs/2402.18048 (2024) - [i19]Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, James Zou, Kai-Wei Chang, Wei Wang:
Enhancing Large Vision Language Models with Self-Training on Image Comprehension. CoRR abs/2405.19716 (2024) - [i17]Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang:
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation. CoRR abs/2406.13692 (2024) - 2023
- [c13]Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang:
Efficient Shapley Values Estimation by Amortization for Text Classification. ACL (1) 2023: 8666-8680 - [c12]Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng:
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks. EMNLP 2023: 1813-1829 - [c11]Da Yin, Xiao Liu, Fan Yin, Ming Zhong
, Hritik Bansal, Jiawei Han, Kai-Wei Chang:
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. EMNLP 2023: 4031-4047 - [c10]Hritik Bansal, Fan Yin, Nishad Singhi, Aditya Grover, Yu Yang, Kai-Wei Chang:
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. ICCV 2023: 112-123 - [i15]Hritik Bansal, Nishad Singhi, Yu Yang, Fan Yin, Aditya Grover, Kai-Wei Chang:
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. CoRR abs/2303.03323 (2023) - [i14]Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang:
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. CoRR abs/2305.14327 (2023) - [i13]Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho-Jui Hsieh:
Red Teaming Language Model Detectors with Language Models. CoRR abs/2305.19713 (2023) - [i12]Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang:
Efficient Shapley Values Estimation by Amortization for Text Classification. CoRR abs/2305.19998 (2023) - [i9]Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng:
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks. CoRR abs/2311.00288 (2023) - 2022
- [c8]Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, Kai-Wei Chang:
On the Sensitivity and Stability of Model Interpretations in NLP. ACL (1) 2022: 2631-2647 - [c7]Fan Yin, Yao Li, Cho-Jui Hsieh, Kai-Wei Chang:
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation. EMNLP 2022: 6567-6584 - [i8]Fan Yin, Yao Li, Cho-Jui Hsieh, Kai-Wei Chang:
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation. CoRR abs/2210.12396 (2022) - 2021
- [i6]Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, Kai-Wei Chang:
On the Faithfulness Measurements for Model Interpretations. CoRR abs/2104.08782 (2021) - 2020
- [c5]Fan Yin, Quanyu Long, Tao Meng, Kai-Wei Chang:
On the Robustness of Language Encoders against Grammatical Errors. ACL 2020: 3386-3403 - [i4]Fan Yin, Quanyu Long, Tao Meng, Kai-Wei Chang:
On the Robustness of Language Encoders against Grammatical Errors. CoRR abs/2005.05683 (2020)
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