Xiaochuang Han

According to our database1, Xiaochuang Han authored at least 22 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Tuning Language Models by Proxy.
CoRR, 2024

2023
What Constitutes a Faithful Summary? Preserving Author Perspectives in News Summarization.
CoRR, 2023

In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning.
CoRR, 2023

SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models.
CoRR, 2023

Trusting Your Evidence: Hallucinate Less with Context-aware Decoding.
CoRR, 2023

Can Language Models Solve Graph Problems in Natural Language?
CoRR, 2023

Can Language Models Solve Graph Problems in Natural Language?
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?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

On the Zero-Shot Generalization of Machine-Generated Text Detectors.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Understanding In-Context Learning via Supportive Pretraining Data.
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.
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.
CoRR, 2022

2021
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Fortifying Toxic Speech Detectors Against Veiled Toxicity.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions.
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.
CoRR, 2019

No Permanent Friends or Enemies: Tracking Relationships between Nations from News.
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.
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.
Proc. ACM Hum. Comput. Interact., 2018

Interactional Stancetaking in Online Forums.
Comput. Linguistics, 2018

Technology for working dogs.
Proceedings of the Fifth International Conference on Animal-Computer Interaction, 2018

2017
Predicting the Suitability of Service Animals Using Instrumented Dog Toys.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017


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