Xiaochuang Han

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 34

Top Topics

Text Generation

Top Venues

EMNLP (Findings)

Publications

Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov
Can LLM Graph Reasoning Generalize beyond Pattern Memorization? CoRR (2024)
Alisa Liu, Xiaochuang Han, Yizhong Wang, Yulia Tsvetkov, Yejin Choi, Noah A. Smith
Tuning Language Models by Proxy. CoRR (2024)
Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov
P³Sum: Preserving Author's Perspective in News Summarization with Diffusion Language Models. NAACL-HLT (2024)
Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad
David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs. NAACL-HLT (2024)
Xiaochuang Han
In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning. CoRR (2023)
Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov
What Constitutes a Faithful Summary? Preserving Author Perspectives in News Summarization. CoRR (2023)
Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? EMNLP (Findings) (2023)
Xiao Pu, Jingyu Zhang, Xiaochuang Han, Yulia Tsvetkov, Tianxing He
On the Zero-Shot Generalization of Machine-Generated Text Detectors. EMNLP (Findings) (2023)
Xiao Pu, Jingyu Zhang, Xiaochuang Han, Yulia Tsvetkov, Tianxing He
On the Zero-Shot Generalization of Machine-Generated Text Detectors. CoRR (2023)
Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control. ACL (1) (2023)
Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad
SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models. CoRR (2023)
Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang
Understanding In-Context Learning via Supportive Pretraining Data. ACL (1) (2023)
Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Scott Wen-tau Yih
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. CoRR (2023)
Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov
Can Language Models Solve Graph Problems in Natural Language? CoRR (2023)
Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang
Understanding In-Context Learning via Supportive Pretraining Data. CoRR (2023)
Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov
Can Language Models Solve Graph Problems in Natural Language? NeurIPS (2023)
Xiaochuang Han, Yulia Tsvetkov
ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data. CoRR (2022)
Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? CoRR (2022)
Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control. CoRR (2022)
Xiaochuang Han, Yulia Tsvetkov
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates. EMNLP (Findings) (2021)
Xiaochuang Han, Yulia Tsvetkov
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates. CoRR (2021)
Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. ACL (2020)
Xiaochuang Han, Yulia Tsvetkov
Fortifying Toxic Speech Detectors Against Veiled Toxicity. CoRR (2020)
Xiaochuang Han, Yulia Tsvetkov
Fortifying Toxic Speech Detectors Against Veiled Toxicity. EMNLP (1) (2020)
Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. CoRR (2020)
Xiaochuang Han, Jacob Eisenstein
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling. EMNLP/IJCNLP (1) (2019)
Xiaochuang Han, Jacob Eisenstein
Unsupervised Domain Adaptation of Contextualized Embeddings: A Case Study in Early Modern English. CoRR (2019)
Xiaochuang Han, Eunsol Choi, Chenhao Tan
No Permanent Friends or Enemies: Tracking Relationships between Nations from News. CoRR (2019)
Xiaochuang Han, Eunsol Choi, Chenhao Tan
No Permanent Friends or Enemies: Tracking Relationships between Nations from News. NAACL-HLT (1) (2019)
Melody Moore Jackson, Ceara Byrne, Larry Freil, Giancarlo Valentin, Jay Zuerndorfer, Clint Zeagler, Jacob Logas, Scott Gilliland, Allison Rapoport, Shuyi Sun, Devon Peet, Andrea Lau, Xiaochuang Han, Joelle Alcaidinho, Thad Starner
Technology for working dogs. ACI (2018)
Umashanthi Pavalanathan, Xiaochuang Han, Jacob Eisenstein
Mind Your POV: Convergence of Articles and Editors Towards Wikipedia's Neutrality Norm. CoRR (2018)
Scott F. Kiesling, Umashanthi Pavalanathan, Jim Fitzpatrick, Xiaochuang Han, Jacob Eisenstein
Interactional Stancetaking in Online Forums. Comput. Linguistics 44 (4) (2018)
Umashanthi Pavalanathan, Xiaochuang Han, Jacob Eisenstein
Mind Your POV: Convergence of Articles and Editors Towards Wikipedia's Neutrality Norm. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Ceara Byrne, Jay Zuerndorfer, Larry Freil, Xiaochuang Han, Andrew Sirolly, Scott Gilliland, Thad Starner, Melody Moore Jackson
Predicting the Suitability of Service Animals Using Instrumented Dog Toys. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (4) (2017)