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)

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; et al. (ACI, 2018)

Interactional Stancetaking in Online Forums. - Scott F. Kiesling; Umashanthi Pavalanathan; Jim Fitzpatrick; Xiaochuang Han; Jacob Eisenstein (Comput. Linguistics, 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)

Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling. - Xiaochuang Han; Jacob Eisenstein (EMNLP/IJCNLP (1), 2019)

No Permanent Friends or Enemies: Tracking Relationships between Nations from News. - Xiaochuang Han; Eunsol Choi; Chenhao Tan (NAACL-HLT (1), 2019)

Unsupervised Domain Adaptation of Contextualized Embeddings: A Case Study in Early Modern English. - Xiaochuang Han; Jacob Eisenstein (CoRR, 2019)

Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. - Xiaochuang Han; Byron C. Wallace; Yulia Tsvetkov (ACL, 2020)

Fortifying Toxic Speech Detectors Against Veiled Toxicity. - Xiaochuang Han; Yulia Tsvetkov (EMNLP (1), 2020)

Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates. - Xiaochuang Han; Yulia Tsvetkov (EMNLP (Findings), 2021)

ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data. - Xiaochuang Han; Yulia Tsvetkov (CoRR, 2022)

SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control. - Xiaochuang Han; Sachin Kumar 009; Yulia Tsvetkov (ACL (1), 2023)

Understanding In-Context Learning via Supportive Pretraining Data. - Xiaochuang Han; Daniel Simig; Todor Mihaylov; Yulia Tsvetkov; Asli Celikyilmaz; Tianlu Wang (ACL (1), 2023)

On the Zero-Shot Generalization of Machine-Generated Text Detectors. - Xiao Pu 003; Jingyu Zhang; Xiaochuang Han; Yulia Tsvetkov; Tianxing He (EMNLP (Findings), 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 (EMNLP (Findings), 2023)

Can Language Models Solve Graph Problems in Natural Language? - Heng Wang 008; Shangbin Feng; Tianxing He; Zhaoxuan Tan; Xiaochuang Han; Yulia Tsvetkov (NeurIPS, 2023)

SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models. - Xiaochuang Han; Sachin Kumar 009; Yulia Tsvetkov; Marjan Ghazvininejad (CoRR, 2023)

In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning. - Xiaochuang Han (CoRR, 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 009; Yulia Tsvetkov (CoRR, 2023)

Can LLM Graph Reasoning Generalize beyond Pattern Memorization? - Yizhuo Zhang 001; Heng Wang 008; Shangbin Feng; Zhaoxuan Tan; Xiaochuang Han; Tianxing He; Yulia Tsvetkov (EMNLP (Findings), 2024)

David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs. - Xiaochuang Han; Sachin Kumar 009; Yulia Tsvetkov; Marjan Ghazvininejad (NAACL-HLT, 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 009; Yulia Tsvetkov (NAACL-HLT, 2024)

Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. - Weijia Shi; Xiaochuang Han; Mike Lewis; Yulia Tsvetkov; Luke Zettlemoyer; Wen-tau Yih (NAACL (Short Papers), 2024)

Tuning Language Models by Proxy. - Alisa Liu; Xiaochuang Han; Yizhong Wang; Yulia Tsvetkov; Yejin Choi 001; Noah A. Smith (CoRR, 2024)

JPEG-LM: LLMs as Image Generators with Canonical Codec Representations. - Xiaochuang Han; Marjan Ghazvininejad; Pang Wei Koh; Yulia Tsvetkov (CoRR, 2024)

LMFusion: Adapting Pretrained Language Models for Multimodal Generation. - Weijia Shi; Xiaochuang Han; Chunting Zhou; Weixin Liang; Xi Victoria Lin; Luke Zettlemoyer; Lili Yu (CoRR, 2024)

When One LLM Drools, Multi-LLM Collaboration Rules. - Shangbin Feng; Wenxuan Ding 001; Alisa Liu; Zifeng Wang 002; Weijia Shi; Yike Wang 002; Zejiang Shen 001; Xiaochuang Han; Hunter Lang; Chen-Yu Lee; Tomas Pfister; Yejin Choi 001; et al. (CoRR, 2025)

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 (CoRR, 2025)

MADFormer: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation. - Junhao Chen; Yulia Tsvetkov; Xiaochuang Han (CoRR, 2025)