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Jing Huang

Orcid: 0000-0001-9301-9410

Affiliations:
  • Stanford University, Department of Computer Science, CA, USA
  • University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA (former)


According to our database1, Jing Huang authored at least 9 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments.
[BibTeX]
[DOI]
Zhengxuan Wu
,
Atticus Geiger
,
Jing Huang
,
Aryaman Arora
,
Thomas Icard
,
Christopher Potts
,
Noah D. Goodman
CoRR, 2024

pyvene: A Library for Understanding and Improving PyTorch Models via Interventions.
[BibTeX]
[DOI]
Zhengxuan Wu
,
Atticus Geiger
,
Aryaman Arora
,
Jing Huang
,
Zheng Wang
,
Noah D. Goodman
,
Christopher D. Manning
,
Christopher Potts
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024

Demystifying Verbatim Memorization in Large Language Models.
[BibTeX]
[DOI]
Jing Huang
,
Diyi Yang
,
Christopher Potts
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations.
[BibTeX]
[DOI]
Jing Huang
,
Zhengxuan Wu
,
Christopher Potts
,
Mor Geva
,
Atticus Geiger
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Culturally Aware Natural Language Inference.
[BibTeX]
[DOI]
Jing Huang
,
Diyi Yang
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Rigorously Assessing Natural Language Explanations of Neurons.
[BibTeX]
[DOI]
Jing Huang
,
Atticus Geiger
,
Karel D'Oosterlinck
,
Zhengxuan Wu
,
Christopher Potts
Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training.
[BibTeX]
[DOI]
Jing Huang
,
Zhengxuan Wu
,
Kyle Mahowald
,
Christopher Potts
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2021
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation.
[BibTeX]
[DOI]
Liwei Wang
,
Jing Huang
,
Yin Li
,
Kun Xu
,
Zhengyuan Yang
,
Dong Yu
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019
Learning Two-Branch Neural Networks for Image-Text Matching Tasks.
[BibTeX]
[DOI]
Liwei Wang
,
Yin Li
,
Jing Huang
,
Svetlana Lazebnik
IEEE Trans. Pattern Anal. Mach. Intell., 2019


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