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2020 – today
- 2024
[c14]Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Wen-tau Yih:
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. NAACL (Short Papers) 2024: 783-791- [c13]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: 2154-2173 - [c12]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: 8385-8400 - [i19]Alisa Liu, Xiaochuang Han, Yizhong Wang, Yulia Tsvetkov, Yejin Choi, Noah A. Smith:
Tuning Language Models by Proxy. CoRR abs/2401.08565 (2024) - [i18]Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov:
Can LLM Graph Reasoning Generalize beyond Pattern Memorization? CoRR abs/2406.15992 (2024) - [i17]Xiaochuang Han, Marjan Ghazvininejad, Pang Wei Koh, Yulia Tsvetkov:
JPEG-LM: LLMs as Image Generators with Canonical Codec Representations. CoRR abs/2408.08459 (2024) - 2023
- [c11]Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov:
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control. ACL (1) 2023: 11575-11596 - [c10]Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang:
Understanding In-Context Learning via Supportive Pretraining Data. ACL (1) 2023: 12660-12673 - [c9]Xiao Pu, Jingyu Zhang, Xiaochuang Han, Yulia Tsvetkov, Tianxing He:
On the Zero-Shot Generalization of Machine-Generated Text Detectors. EMNLP (Findings) 2023: 4799-4808 - [c8]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: 10994-11005 - [c7]Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov:
Can Language Models Solve Graph Problems in Natural Language? NeurIPS 2023 - [i16]Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov:
Can Language Models Solve Graph Problems in Natural Language? CoRR abs/2305.10037 (2023) - [i15]Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Scott Wen-tau Yih:
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. CoRR abs/2305.14739 (2023) - [i14]Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad:
SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models. CoRR abs/2305.14771 (2023) - [i13]Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang:
Understanding In-Context Learning via Supportive Pretraining Data. CoRR abs/2306.15091 (2023) - [i12]Xiaochuang Han:
In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning. CoRR abs/2308.04275 (2023) - [i11]Xiao Pu, Jingyu Zhang, Xiaochuang Han, Yulia Tsvetkov, Tianxing He:
On the Zero-Shot Generalization of Machine-Generated Text Detectors. CoRR abs/2310.05165 (2023) - [i10]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 abs/2311.09741 (2023) - 2022
- [i9]Xiaochuang Han, Yulia Tsvetkov:
ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data. CoRR abs/2205.12600 (2022) - [i8]Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov:
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control. CoRR abs/2210.17432 (2022) - [i7]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 abs/2212.10539 (2022) - 2021
- [c6]Xiaochuang Han, Yulia Tsvetkov:
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates. EMNLP (Findings) 2021: 4398-4409 - [i6]Xiaochuang Han, Yulia Tsvetkov:
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates. CoRR abs/2110.03212 (2021) - 2020
- [c5]Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov:
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. ACL 2020: 5553-5563 - [c4]Xiaochuang Han, Yulia Tsvetkov:
Fortifying Toxic Speech Detectors Against Veiled Toxicity. EMNLP (1) 2020: 7732-7739 - [i5]Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov:
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. CoRR abs/2005.06676 (2020) - [i4]Xiaochuang Han, Yulia Tsvetkov:
Fortifying Toxic Speech Detectors Against Veiled Toxicity. CoRR abs/2010.03154 (2020)
2010 – 2019
- 2019
- [c3]Xiaochuang Han, Jacob Eisenstein:
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling. EMNLP/IJCNLP (1) 2019: 4237-4247 - [c2]Xiaochuang Han, Eunsol Choi, Chenhao Tan:
No Permanent Friends or Enemies: Tracking Relationships between Nations from News. NAACL-HLT (1) 2019: 1660-1676 - [i3]Xiaochuang Han, Jacob Eisenstein:
Unsupervised Domain Adaptation of Contextualized Embeddings: A Case Study in Early Modern English. CoRR abs/1904.02817 (2019) - [i2]Xiaochuang Han, Eunsol Choi, Chenhao Tan:
No Permanent Friends or Enemies: Tracking Relationships between Nations from News. CoRR abs/1904.08950 (2019) - 2018
- [j3]Scott F. Kiesling
, Umashanthi Pavalanathan, Jim Fitzpatrick, Xiaochuang Han, Jacob Eisenstein:
Interactional Stancetaking in Online Forums. Comput. Linguistics 44(4) (2018) - [j2]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): 137:1-137:23 (2018) - [c1]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: 17:1-17:5 - [i1]Umashanthi Pavalanathan, Xiaochuang Han, Jacob Eisenstein:
Mind Your POV: Convergence of Articles and Editors Towards Wikipedia's Neutrality Norm. CoRR abs/1809.06951 (2018) - 2017
- [j1]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): 127:1-127:20 (2017)
Coauthor Index
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