| 2025 | EMNLP | PRIME: Large Language Model Personalization with Cognitive Dual-Memory and Personalized Thought Process. | Xinliang Frederick Zhang, Nicholas Beauchamp, Lu Wang |
| 2024 | EMNLP | Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives. | Xinliang Frederick Zhang, Nicholas Beauchamp, Lu Wang |
| 2024 | NAACL | MOKA: Moral Knowledge Augmentation for Moral Event Extraction. | Xinliang Frederick Zhang, Winston Wu, Nicholas Beauchamp, Lu Wang |
| 2023 | EMNLP | All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. | Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nicholas Beauchamp, Lu Wang |
| 2023 | EMNLP | Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting. | Kaijian Zou, Xinliang Frederick Zhang, Winston Wu, Nicholas Beauchamp, Lu Wang |
| 2022 | NAACL | POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection. | Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nicholas Beauchamp, Lu Wang |
| 2018 | NAACL | Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse. | Xingshan Zeng, Jing Li, Lu Wang, Nicholas Beauchamp, Sarah Shugars, Kam-Fai Wong |