| 2026 | LREC | Consistency of LLMs to Comparative Statements in Mathematical Reasoning Tasks. | Aidan W. San, Daniel Juyoung Son, Xiaodong Liu, Yangfeng Ji |
| 2025 | EMNLP | Unsupervised Concept Vector Extraction for Bias Control in LLMs. | Hannah Cyberey, Yangfeng Ji, David Evans |
| 2025 | EMNLP | The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning. | Stephanie Schoch, Yangfeng Ji |
| 2025 | ICLR | SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation. | Xu Ouyang, Felix Xiaozhu Lin, Yangfeng Ji |
| 2025 | KDD | IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method Mapping. | Nibir Chandra Mandal, Oishee Bintey Hoque, Abhijin Adiga, Samarth Swarup, Mandy L. Wilson, Lu Feng, Yangfeng Ji, Miaomiao Zhang, Geoffrey C. Fox, Madhav V. Marathe |
| 2025 | NAACL | In-Context Learning (and Unlearning) of Length Biases. | Stephanie Schoch, Yangfeng Ji |
| 2024 | NAACL | Addressing Both Statistical and Causal Gender Fairness in NLP Models. | Hannah Chen, Yangfeng Ji, David Evans |
| 2023 | AAAI | Improving Interpretability via Explicit Word Interaction Graph Layer. | Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi |
| 2023 | ACL | REV: Information-Theoretic Evaluation of Free-Text Rationales. | Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta |
| 2023 | ACL | PLAtE: A Large-scale Dataset for List Page Web Extraction. | Aidan San, Yuan Zhuang, Jan Bakus, Colin Lockard, David M. Ciemiewicz, Sandeep Atluri, Kevin Small, Yangfeng Ji, Heba Elfardy |
| 2023 | ACL | Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values. | Stephanie Schoch, Ritwick Mishra, Yangfeng Ji |
| 2023 | IJCAI | Efficient NLP Model Finetuning via Multistage Data Filtering. | Xu Ouyang, Shahina Mohd Azam Ansari, Felix Xiaozhu Lin, Yangfeng Ji |
| 2022 | AAAI | Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation. | Hanjie Chen, Yangfeng Ji |
| 2022 | EMNLP | Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models. | Hannah Chen, Yangfeng Ji, David E. Evans |
| 2022 | EMNLP | Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation. | Wanyu Du, Hanjie Chen, Yangfeng Ji |
| 2022 | EMNLP | FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows. | Jianqiao Zhao, Yanyang Li, Wanyu Du, Yangfeng Ji, Dong Yu, Michael R. Lyu, Liwei Wang |
| 2022 | NAACL | White-box Testing of NLP models with Mask Neuron Coverage. | Arshdeep Sekhon, Yangfeng Ji, Matthew B. Dwyer, Yanjun Qi |
| 2021 | EMNLP | HittER: Hierarchical Transformers for Knowledge Graph Embeddings. | Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji |
| 2021 | EMNLP | SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks. | Wanyu Du, Yangfeng Ji |
| 2021 | ICIS | Charging at Second Culmination? Optimal Freemium Pricing for E-books via Field Experiment and Text Analysis. | Hanbing Xue, Yongjun Li, Natasha Zhang Foutz, Yangfeng Ji |
| 2021 | INLG | Contextualizing Variation in Text Style Transfer Datasets. | Stephanie Schoch, Wanyu Du, Yangfeng Ji |
| 2021 | NAACL | Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks. | Hanjie Chen, Song Feng, Jatin Ganhotra, Hui Wan, R. Chulaka Gunasekara, Sachindra Joshi, Yangfeng Ji |
| 2020 | ACL | Pointwise Paraphrase Appraisal is Potentially Problematic. | Hannah Chen, Yangfeng Ji, David Evans |
| 2020 | ACL | Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection. | Hanjie Chen, Guangtao Zheng, Yangfeng Ji |
| 2020 | COLING | A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing. | Sanxing Chen, Aidan San, Xiaodong Liu, Yangfeng Ji |
| 2020 | EMNLP | Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers. | Hanjie Chen, Yangfeng Ji |
| 2020 | EMNLP | Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory. | Hannah Chen, Yangfeng Ji, David E. Evans |
| 2020 | EMNLP | The Amazing World of Neural Language Generation. | Yangfeng Ji, Antoine Bosselut, Thomas Wolf, Asli Celikyilmaz |
| 2020 | EMNLP | Reevaluating Adversarial Examples in Natural Language. | John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi |
| 2019 | EMNLP | An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation. | Wanyu Du, Yangfeng Ji |
| 2018 | IUI | Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories. | Elizabeth Clark, Anne Spencer Ross, Chenhao Tan, Yangfeng Ji, Noah A. Smith |
| 2018 | NAACL | Neural Text Generation in Stories Using Entity Representations as Context. | Elizabeth Clark, Yangfeng Ji, Noah A. Smith |
| 2017 | ACL | Neural Discourse Structure for Text Categorization. | Yangfeng Ji, Noah A. Smith |
| 2017 | EMNLP | Dynamic Entity Representations in Neural Language Models. | Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith |
| 2016 | ACL | Multiplicative Representations for Unsupervised Semantic Role Induction. | Yi Luan, Yangfeng Ji, Hannaneh Hajishirzi, Boyang Li |
| 2016 | NAACL | A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models. | Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein |
| 2015 | ACL | deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. | Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan |
| 2015 | EMNLP | Better Document-level Sentiment Analysis from RST Discourse Parsing. | Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein |
| 2015 | EMNLP | Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations. | Yangfeng Ji, Gongbo Zhang, Jacob Eisenstein |
| 2015 | NAACL | A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. | Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan |
| 2014 | ACL | Representation Learning for Text-level Discourse Parsing. | Yangfeng Ji, Jacob Eisenstein |
| 2014 | ICASSP | A variational Bayesian model for user intent detection. | Yangfeng Ji, Dilek Hakkani-Tr, Asli Celikyilmaz, Larry P. Heck, Gkhan Tr |
| 2013 | EMNLP | Discriminative Improvements to Distributional Sentence Similarity. | Yangfeng Ji, Jacob Eisenstein |
| 2010 | ICPR | CDP Mixture Models for Data Clustering. | Yangfeng Ji, Tong Lin, Hongbin Zha |
| 2009 | ICMLA | Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition. | Yangfeng Ji, Tong Lin, Hongbin Zha |