| 2026 | ACL | Logit Arithmetic Elicits Long Reasoning Capabilities Without Training. | Yunxiang Zhang, Muhammad Khalifa, Lechen Zhang, Xin Liu, Ayoung Lee, Xinliang Frederick Zhang, Farima Fatahi Bayat, Lu Wang |
| 2026 | ACL | Do LLMs Really Need 10+ Thoughts for "Find the Time 1000 Days Later"? Towards Structural Understanding of LLM Overthinking. | Xinliang Frederick Zhang, Anhad Mohananey, Alexandra Chronopoulou, Pinelopi Papalampidi, Somit Gupta, Tsendsuren Munkhdalai, Lu Wang, Shyam Upadhyay |
| 2025 | EMNLP | PRIME: Large Language Model Personalization with Cognitive Dual-Memory and Personalized Thought Process. | Xinliang Frederick Zhang, Nicholas Beauchamp, Lu Wang |
| 2025 | IJCNLP | FINDR: A Fast Influential Data Selector for NL2Code Pretraining. | Xinliang Frederick Zhang, Lu Wang |
| 2024 | ACL | ULTRA: Unleash LLMs' Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Self-Refinement. | Xinliang Frederick Zhang, Carter Wood Blum, Temma Choji, Shalin Shah, Alakananda Vempala |
| 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 | You Are What You Annotate: Towards Better Models through Annotator Representations. | Naihao Deng, Xinliang Frederick Zhang, Siyang Liu, Winston Wu, Lu Wang, Rada Mihalcea |
| 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 | EMNLP | Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis. | Changyuan Qiu, Winston Wu, Xinliang Frederick Zhang, Lu Wang |
| 2022 | EMNLP | Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation. | Xinliang Frederick Zhang, Nick 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 |
| 2021 | EMNLP | COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval. | Xinliang Frederick Zhang, Heming Sun, Xiang Yue, Simon M. Lin, Huan Sun |
| 2021 | NAACL | Identifying inherent disagreement in natural language inference. | Xinliang Frederick Zhang, Marie-Catherine de Marneffe |