Publications

Publications

*equal contribution
  1. Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
    Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Hanjie Chen, Xia Hu
    Preprint. [arXiv]

  2. Rethinking Diverse Human Preference Learning through Principal Component Analysis
    Feng Luo, Rui Yang, Hao Sun, Chunyuan Deng, Jiarui Yao, Jingyan Shen, Huan Zhang, Hanjie Chen
    Preprint. [arXiv]

  3. Personality Structured Interview for Large Language Model Simulation in Personality Research
    Pengda Wang, Huiqi Zou, Hanjie Chen, Tianjun Sun, Ziang Xiao, Frederick L. Oswald
    Preprint. [arXiv]

  4. Political-LLM: Large Language Models in Political Science
    Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui...Hanjie Chen...Yue Zhao, Yushun Dong
    Preprint. [arXiv]

  5. Language Models are Symbolic Learners in Arithmetic
    Chunyuan Deng, Zhiqi Li, Roy Xie, Ruidi Chang, Hanjie Chen
    Preprint. [arXiv]

  6. From Babbling to Fluency: Evaluating the Evolution of Language Models in Terms of Human Language Acquisition
    Qiyuan Yang*, Pengda Wang*, Luke D. Plonsky, Frederick L. Oswald, Hanjie Chen
    Preprint. [arXiv]

  7. Language and Multimodal Models in Sports: A Survey of Datasets and Applications
    Haotian Xia, Zhengbang Yang, Yun Zhao, Yuqing Wang, Jingxi Li, Rhys Tracy, Zhuangdi Zhu, Yuan-fang Wang, Hanjie Chen, Weining Shen
    Preprint. [arXiv]

  8. Beyond Pointwise Intervention: Learning Distribution-wise Control in Representation Space for Language Models
    Chunyuan Deng, Ruidi Chang, Hanjie Chen
    The Forty-Second International Conference on Machine Learning (ICML), Vancouver, Canada, Jul. 2025.

  9. SAFR: Neuron Redistribution for Interpretability
    Ruidi Chang, Chunyuan Deng, Hanjie Chen
    Findings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), Albuquerque, New Mexico, United States, May 2025. [Paper][Code]

  10. MiCEval: Unveiling Multimodal Chain of Thought's Quality via Image Description and Reasoning Steps
    Xiongtao Zhou*, Jie He*, Lanyu Chen, Jingyu Li, Haojing Chen, Victor Gutierrez Basulto, Jeff Z. Pan, Hanjie Chen
    2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), Albuquerque, New Mexico, United States, May 2025. [Paper][Code]

  11. Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions
    Hanjie Chen*, Zhouxiang Fang*, Yash Singla, Mark Dredze
    2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), Albuquerque, New Mexico, United States, May 2025. [Paper][Code]

  12. SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models
    Haotian Xia, Zhengbang Yang, Junbo Zou, Rhys Tracy, Yuqing Wang, Chi Lu, Christopher Lai, Yanjun He, Xun Shao, Zhuoqing Xie, Yuan-fang Wang, Weining Shen, Hanjie Chen
    The Thirteenth International Conference on Learning Representations (ICLR), Singapore, Apr. 2025. [Paper][Code]

  13. Will the Real Linda Please Stand up...to Large Language Models? Examining the Representativeness Heuristic in LLMs
    Pengda Wang*, Zilin Xiao*, Hanjie Chen, Frederick L. Oswald
    The First Conference on Language Modeling (COLM), Philadelphia, Pennsylvania, United States, Oct. 2024.
    Oral Spotlight (top 2%) [Paper] [Code]

  14. RORA: Robust Free-Text Rationale Evaluation
    Zhengping Jiang*, Yining Lu*, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu
    The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Bangkok, Thailand, Aug. 2024. [Paper] [Code]

  15. Explanation in the Era of Large Language Models
    Zining Zhu, Hanjie Chen, Xi Ye, Chenhao Tan, Ana Marasović, Sarah Wiergreffe, Veronica Qing Lyu
    2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) Tutorial, Mexico City, Mexico, Jun. 2024. [Abstract] [Website]

  16. Explainability for Large Language Models: A Survey
    Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du
    ACM Transactions on Intelligent Systems and Technology, Jan. 2024. [Paper]

  17. REV: Information-Theoretic Evaluation of Free-Text Rationales
    Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, and Swabha Swayamdipta
    The 61st Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, Jul. 2023. [Paper] [Code]

  18. Neural Model Interpretability for Natural Language Processing
    Hanjie Chen
    PhD Dissertation, May 2023. [Abstract]

  19. KNIFE: Knowledge Distillation with Free-Text Rationales
    Aaron Chan*, Zhiyuan Zeng*, Wyatt Lake, Brihi Joshi, Hanjie Chen, Xiang Ren
    TrustML-(un)Limited Workshop at ICLR 2023, Kigali, Rwanda, May 2023. [Paper]

  20. Improving Interpretability via Explicit Word Interaction Graph Layer
    Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi
    The 37th AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, USA, Feb. 2023. [Paper][Code]

  21. Explaining Predictive Uncertainty by Looking Back at Model Explanations
    Hanjie Chen, Wanyu Du, Yangfeng Ji
    AAAI Workshop on Uncertainty Reasoning and Quantification in Decision Making, Feb. 2023. [Paper]

  22. Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification.
    Ruixuan Tang, Hanjie Chen, Yangfeng Ji
    EMNLP BlackboxNLP Workshop, Dec. 2022 [Paper]

  23. Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation
    Wanyu Du, Hanjie Chen, Yangfeng Ji
    Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Abu Dhabi, Dec. 2022. [Paper][Code]

  24. Pathologies of Pre-trained Language Models in Few-shot Fine-tuning
    Hanjie Chen, Guoqing Zheng, Ahmed Hassan Awadallah, Yangfeng Ji
    ACL Workshop on Insights from Negative Results in NLP, Dublin, Ireland, May 2022. [Paper]

  25. Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
    Hanjie Chen, Yangfeng Ji
    The 36th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, BC, Canada, Feb. 2022.
    Oral Presentation (top 1.5%) [Paper] [Code]

  26. Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing
    Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi
    EMNLP BlackboxNLP Workshop, Nov. 2021 [Paper]

  27. Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks
    Hanjie Chen, Song Feng, Jatin Ganhotra, Hui Wan, Chulaka Gunasekara, Sachindra Joshi, Yangfeng Ji
    2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Jun. 2021. [Paper] [Code]

  28. Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers
    Hanjie Chen, Yangfeng Ji
    The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov. 2020. [Paper] [Code]

  29. Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection
    Hanjie Chen, Guangtao Zheng, Yangfeng Ji
    The 58th Annual Meeting of the Association for Computational Linguistics (ACL), July 2020. [Paper] [Code]

  30. Improving the Explainability of Neural Sentiment Classifiers via Data Augmentation
    Hanjie Chen, Yangfeng Ji
    NeurIPS 2019 Workshop on Robust AI in Financial Services, Dec. 2019. [Paper]

Previous Publications
  • A Two-Dimensional Constellation Design Method for Visible Light Communications With Signal-Dependent Shot Noise
    Hanjie Chen, Zhengyuan Xu
    IEEE Communications Letters, Sept. 2018 [Paper]

  • The Near-field Radiation Pattern of an OLED Panel and Its Application in Detection
    Rui Xu, Hanjie Chen, Zhengyuan Xu
    CSNDSP, July 2018 [Paper]

  • A 51.6 Mbps Experimental VLC System Using a Monochromic Organic LED
    Hanjie Chen, Zhengyuan Xu, Qian Gao, Shangbin Li
    IEEE Photonics Journal, April 2018 [Paper]

  • OLED Panel Radiation Pattern and Its Impact on VLC Channel Characteristics
    Hanjie Chen, Zhengyuan Xu
    IEEE Photonics Journal, April 2018 [Paper]

  • Radiation Pattern Modeling of a Bent OLED Panel for Visible Light Communication
    Hanjie Chen, Zhengyuan Xu
    ACP, Nov. 2017 [Paper]

  • Volterra-based Nonlinear Equalization for Nonlinearity Mitigation in Organic VLC
    Xiangyu Li, Hanjie Chen, Shangbin Li, Qian Gao, Chen Gong, Zhengyuan Xu
    IWCMC, June 2017 [Paper]

  • A 1.9 Mbps OFDM-based All-organic Visible Light Communication System
    Hanjie Chen, Shangbin Li, Wenhai Li, Boyang Huang, Jing Xie, Guifang Dong, Zhengyuan Xu
    ICCS, Dec. 2016 [Paper]

  • Squarylium and Rubrene Based Filterless Narrowband Photodetectors for an All-organic Two-channel Visible Light Communication System
    Wenhai Li, Shangbin Li, Lian Duan, Hanjie Chen, Liduo Wang, Guifang Dong, Zhengyuan Xu
    Organic Electronics, Oct. 2016 [Paper]