Xiaochuang Han
Xiaochuang Han
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Cited by
Cited by
Unsupervised domain adaptation of contextualized embeddings for sequence labeling
X Han, J Eisenstein
arXiv preprint arXiv:1904.02817, 2019
Explaining black box predictions and unveiling data artifacts through influence functions
X Han, BC Wallace, Y Tsvetkov
arXiv preprint arXiv:2005.06676, 2020
Interactional stancetaking in online forums
SF Kiesling, U Pavalanathan, J Fitzpatrick, X Han, J Eisenstein
Computational Linguistics 44 (4), 683-718, 2018
Fortifying toxic speech detectors against veiled toxicity
X Han, Y Tsvetkov
arXiv preprint arXiv:2010.03154, 2020
Can language models solve graph problems in natural language?
H Wang, S Feng, T He, Z Tan, X Han, Y Tsvetkov
Advances in Neural Information Processing Systems 36, 2024
Trusting your evidence: Hallucinate less with context-aware decoding
W Shi, X Han, M Lewis, Y Tsvetkov, L Zettlemoyer, SW Yih
arXiv preprint arXiv:2305.14739, 2023
Ssd-lm: Semi-autoregressive simplex-based diffusion language model for text generation and modular control
X Han, S Kumar, Y Tsvetkov
arXiv preprint arXiv:2210.17432, 2022
Influence tuning: Demoting spurious correlations via instance attribution and instance-driven updates
X Han, Y Tsvetkov
arXiv preprint arXiv:2110.03212, 2021
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?
W Shi, X Han, H Gonen, A Holtzman, Y Tsvetkov, L Zettlemoyer
arXiv preprint arXiv:2212.10539, 2022
Mind your POV: convergence of articles and editors towards Wikipedia's neutrality norm
U Pavalanathan, X Han, J Eisenstein
Proceedings of the ACM on Human-Computer Interaction 2 (CSCW), 1-23, 2018
Orca: Interpreting prompted language models via locating supporting data evidence in the ocean of pretraining data
X Han, Y Tsvetkov
arXiv preprint arXiv:2205.12600, 2022
Understanding in-context learning via supportive pretraining data
X Han, D Simig, T Mihaylov, Y Tsvetkov, A Celikyilmaz, T Wang
arXiv preprint arXiv:2306.15091, 2023
Predicting the suitability of service animals using instrumented dog toys
C Byrne, J Zuerndorfer, L Freil, X Han, A Sirolly, S Cilliland, T Starner, ...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018
Tuning language models by proxy
A Liu, X Han, Y Wang, Y Tsvetkov, Y Choi, NA Smith
arXiv preprint arXiv:2401.08565, 2024
No permanent friends or enemies: Tracking relationships between nations from news
X Han, E Choi, C Tan
arXiv preprint arXiv:1904.08950, 2019
On the zero-shot generalization of machine-generated text detectors
X Pu, J Zhang, X Han, Y Tsvetkov, T He
arXiv preprint arXiv:2310.05165, 2023
Technology for working dogs
MM Jackson, C Byrne, L Freil, G Valentin, J Zuerndorfer, C Zeagler, ...
Proceedings of the Fifth International Conference on Animal-Computer …, 2018
David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs
X Han, S Kumar, Y Tsvetkov, M Ghazvininejad
arXiv preprint arXiv:2305.14771, 2023
In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning
X Han
arXiv preprint arXiv:2308.04275, 2023
P3Sum: Preserving Author’s Perspective in News Summarization with Diffusion Language Models
Y Liu, S Feng, X Han, V Balachandran, CY Park, S Kumar, Y Tsvetkov
Proceedings of the 2024 Conference of the North American Chapter of the …, 2024
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