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Jing Huang
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Learning two-branch neural networks for image-text matching tasks
L Wang, Y Li, J Huang, S Lazebnik
IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (2), 394-407, 2018
6122018
Improving weakly supervised visual grounding by contrastive knowledge distillation
L Wang, J Huang, Y Li, K Xu, Z Yang, D Yu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
902021
Causal abstraction: A theoretical foundation for mechanistic interpretability
A Geiger, D Ibeling, A Zur, M Chaudhary, S Chauhan, J Huang, A Arora, ...
arXiv:2301.04709, 2024
84*2024
Culturally aware natural language inference
J Huang, D Yang
Findings of the Association for Computational Linguistics: EMNLP 2023, 7591-7609, 2023
522023
Rigorously Assessing Natural Language Explanations of Neurons
J Huang, A Geiger, K D'Oosterlinck, Z Wu, C Potts
Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting …, 2023
412023
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations
J Huang, Z Wu, C Potts, M Geva, A Geiger
Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024
342024
Demystifying Verbatim Memorization in Large Language Models
J Huang, D Yang, C Potts
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024
32*2024
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions
Z Wu, A Geiger, A Arora, J Huang, Z Wang, ND Goodman, CD Manning, ...
Proceedings of the 2024 Conference of the North American Chapter of the …, 2024
232024
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training
J Huang, Z Wu, K Mahowald, C Potts
Findings of the Association for Computational Linguistics: ACL 2023, 12163-12180, 2023
92023
A Reply to Makelov et al.(2023)'s" Interpretability Illusion" Arguments
Z Wu, A Geiger, J Huang, A Arora, T Icard, C Potts, ND Goodman
arXiv preprint arXiv:2401.12631, 2024
42024
Systems And Methods For Training Translation Models Using Source-Augmented Training Examples
J Huang, A Shah, M Johnson, V Ratnakar, M Krikun
US Patent App. 17/988,315, 2023
2023
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