| 2026 | ACL | When One LLM Drools, Multi-LLM Collaboration Rules. | Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Shannon Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, Yulia Tsvetkov |
| 2025 | NAACL | FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text. | Varich Boonsanong, Vidhisha Balachandran, Xiaochuang Han, Shangbin Feng, Lucy Lu Wang, Yulia Tsvetkov |
| 2024 | EMNLP | Can LLM Graph Reasoning Generalize beyond Pattern Memorization? | Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov |
| 2024 | NAACL | David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs. | Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad |
| 2024 | NAACL | P³Sum: Preserving Author's Perspective in News Summarization with Diffusion Language Models. | Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov |
| 2024 | NAACL | Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. | Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Wen-tau Yih |
| 2023 | ACL | SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control. | Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov |
| 2023 | ACL | Understanding In-Context Learning via Supportive Pretraining Data. | Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang |
| 2023 | EMNLP | On the Zero-Shot Generalization of Machine-Generated Text Detectors. | Xiao Pu, Jingyu Zhang, Xiaochuang Han, Yulia Tsvetkov, Tianxing He |
| 2023 | EMNLP | Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? | Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer |
| 2021 | EMNLP | Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates. | Xiaochuang Han, Yulia Tsvetkov |
| 2020 | ACL | Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. | Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov |
| 2020 | EMNLP | Fortifying Toxic Speech Detectors Against Veiled Toxicity. | Xiaochuang Han, Yulia Tsvetkov |
| 2019 | EMNLP | Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling. | Xiaochuang Han, Jacob Eisenstein |
| 2019 | NAACL | No Permanent Friends or Enemies: Tracking Relationships between Nations from News. | Xiaochuang Han, Eunsol Choi, Chenhao Tan |