| 2024 | AAAI | Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection. | Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Cmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo |
| 2024 | AAAI | How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes. | Sabina Elkins, Ekaterina Kochmar, Jackie C. K. Cheung, Iulian Serban |
| 2024 | ACL | ECBD: Evidence-Centered Benchmark Design for NLP. | Yu Lu Liu, Su Lin Blodgett, Jackie C. K. Cheung, Vera Liao, Alexandra Olteanu, Ziang Xiao |
| 2024 | EMNLP | CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling. | Yu Bai, Xiyuan Zou, Heyan Huang, Sanxing Chen, Marc-Antoine Rondeau, Yang Gao, Jackie C. K. Cheung |
| 2024 | EMNLP | Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations. | Lei Yu, Meng Cao, Jackie C. K. Cheung, Yue Dong |
| 2024 | ICLR | Ensemble Distillation for Unsupervised Constituency Parsing. | Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie C. K. Cheung, Lili Mou |
| 2024 | ICML | Successor Features for Efficient Multi-Subject Controlled Text Generation. | Meng Cao, Mehdi Fatemi, Jackie C. K. Cheung, Samira Shabanian |
| 2024 | NAACL | Separately Parameterizing Singleton Detection Improves End-to-end Neural Coreference Resolution. | Xiyuan Zou, Yiran Li, Ian Porada, Jackie C. K. Cheung |
| 2023 | EMNLP | Balaur: Language Model Pretraining with Lexical Semantic Relations. | Andrei Mircea, Jackie C. K. Cheung |
| 2023 | ICLR | Systematic Rectification of Language Models via Dead-end Analysis. | Meng Cao, Mehdi Fatemi, Jackie C. K. Cheung, Samira Shabanian |