Xiaochuang Han

According to our database, Xiaochuang Han authored at least 25 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

JPEG-LM: LLMs as Image Generators with Canonical Codec Representations.

Xiaochuang Han, Marjan Ghazvininejad, Pang Wei Koh, Yulia Tsvetkov

CoRR, 2024

Tuning Language Models by Proxy.

Alisa Liu, Xiaochuang Han, Yizhong Wang, Yulia Tsvetkov, Yejin Choi, Noah A. Smith

CoRR, 2024

Trusting Your Evidence: Hallucinate Less with Context-aware Decoding.

Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Wen-tau Yih

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs.

Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Can LLM Graph Reasoning Generalize beyond Pattern Memorization?

Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

What Constitutes a Faithful Summary? Preserving Author Perspectives in News Summarization.

Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov

CoRR, 2023

In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning.

Xiaochuang Han

CoRR, 2023

SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models.

Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad

CoRR, 2023

Can Language Models Solve Graph Problems in Natural Language?

Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

On the Zero-Shot Generalization of Machine-Generated Text Detectors.

Xiao Pu, Jingyu Zhang, Xiaochuang Han, Yulia Tsvetkov, Tianxing He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Understanding In-Context Learning via Supportive Pretraining Data.

Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control.

Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data.

Xiaochuang Han, Yulia Tsvetkov

CoRR, 2022

2021

Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates.

Xiaochuang Han, Yulia Tsvetkov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Fortifying Toxic Speech Detectors Against Veiled Toxicity.

Xiaochuang Han, Yulia Tsvetkov

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions.

Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Unsupervised Domain Adaptation of Contextualized Embeddings: A Case Study in Early Modern English.

Xiaochuang Han, Jacob Eisenstein

CoRR, 2019

No Permanent Friends or Enemies: Tracking Relationships between Nations from News.

Xiaochuang Han, Eunsol Choi, Chenhao Tan

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling.

Xiaochuang Han, Jacob Eisenstein

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Mind Your POV: Convergence of Articles and Editors Towards Wikipedia's Neutrality Norm.

Umashanthi Pavalanathan, Xiaochuang Han, Jacob Eisenstein

Proc. ACM Hum. Comput. Interact., 2018

Interactional Stancetaking in Online Forums.

Scott F. Kiesling, Umashanthi Pavalanathan, Jim Fitzpatrick, Xiaochuang Han, Jacob Eisenstein

Comput. Linguistics, 2018

Technology for working dogs.

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

Proceedings of the Fifth International Conference on Animal-Computer Interaction, 2018

2017

Predicting the Suitability of Service Animals Using Instrumented Dog Toys.

Ceara Byrne, Jay Zuerndorfer, Larry Freil, Xiaochuang Han, Andrew Sirolly, Scott Gilliland, Thad Starner, Melody Moore Jackson

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017