Jing Huang

24 papers A* 5Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders.
ICML
Zhengxuan Wu, Aryaman Arora, Atticus Geiger, Zheng Wang, Jing Huang, Dan Jurafsky, Christopher D. Manning, Christopher Potts
2025 J jnl
AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders.
CoRR
Zhengxuan Wu, Aryaman Arora, Atticus Geiger, Zheng Wang, Jing Huang, Dan Jurafsky, Christopher D. Manning, Christopher Potts
2025 J jnl
Blackbox Model Provenance via Palimpsestic Membership Inference.
CoRR
Rohith Kuditipudi, Jing Huang, Sally Zhu, Diyi Yang, Christopher Potts, Percy Liang
2025 J jnl
Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability.
J. Mach. Learn. Res.
Atticus Geiger, Duligur Ibeling, Amir Zur, Maheep Chaudhary, Sonakshi Chauhan, Jing Huang, Aryaman Arora, Zhengxuan Wu, Noah D. Goodman, Christopher Potts, Thomas Icard
2025 A* conf
HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks.
ICLR
Jiuding Sun, Jing Huang, Sidharth Baskaran, Karel D'Oosterlinck, Christopher Potts, Michael Sklar, Atticus Geiger
2025 J jnl
HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks.
CoRR
Jiuding Sun, Jing Huang, Sidharth Baskaran, Karel D'Oosterlinck, Christopher Potts, Michael Sklar, Atticus Geiger
2025 A* conf
Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors.
ICML
Jing Huang, Junyi Tao, Thomas Icard, Diyi Yang, Christopher Potts
2025 J jnl
Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors.
CoRR
Jing Huang, Junyi Tao, Thomas Icard, Diyi Yang, Christopher Potts
2025 J jnl
NeMo: Needle in a Montage for Video-Language Understanding.
CoRR
Zi-Yuan Hu, Shuo Liang, Duo Zheng, Yanyang Li, Yeyao Tao, Shijia Huang, Wei Feng, Jia Qin, Jianguang Yu, Jing Huang, Meng Fang, Yin Li, Liwei Wang
2024 J jnl
A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments.
CoRR
Zhengxuan Wu, Atticus Geiger, Jing Huang, Aryaman Arora, Thomas Icard, Christopher Potts, Noah D. Goodman
2024 A* conf
Demystifying Verbatim Memorization in Large Language Models.
EMNLP
Jing Huang, Diyi Yang, Christopher Potts
2024 J jnl
Demystifying Verbatim Memorization in Large Language Models.
CoRR
Jing Huang, Diyi Yang, Christopher Potts
2024 — conf
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations.
ACL (1)
Jing Huang, Zhengxuan Wu, Christopher Potts, Mor Geva, Atticus Geiger
2024 J jnl
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations.
CoRR
Jing Huang, Zhengxuan Wu, Christopher Potts, Mor Geva, Atticus Geiger
2024 — conf
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions.
NAACL (Demonstrations)
Zhengxuan Wu, Atticus Geiger, Aryaman Arora, Jing Huang, Zheng Wang, Noah D. Goodman, Christopher D. Manning, Christopher Potts
2024 J jnl
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions.
CoRR
Zhengxuan Wu, Atticus Geiger, Aryaman Arora, Jing Huang, Zheng Wang, Noah D. Goodman, Christopher D. Manning, Christopher Potts
2023 — conf
Culturally Aware Natural Language Inference.
EMNLP (Findings)
Jing Huang, Diyi Yang
2023 — conf
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training.
ACL (Findings)
Jing Huang, Zhengxuan Wu, Kyle Mahowald, Christopher Potts
2023 — conf
Rigorously Assessing Natural Language Explanations of Neurons.
BlackboxNLP@EMNLP
Jing Huang, Atticus Geiger, Karel D'Oosterlinck, Zhengxuan Wu, Christopher Potts
2023 J jnl
Rigorously Assessing Natural Language Explanations of Neurons.
CoRR
Jing Huang, Atticus Geiger, Karel D'Oosterlinck, Zhengxuan Wu, Christopher Potts
2022 J jnl
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training.
CoRR
Jing Huang, Zhengxuan Wu, Kyle Mahowald, Christopher Potts
2021 A* conf
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation.
CVPR
Liwei Wang, Jing Huang, Yin Li, Kun Xu, Zhengyuan Yang, Dong Yu
2020 J jnl
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation.
CoRR
Liwei Wang, Jing Huang, Yin Li, Kun Xu, Zhengyuan Yang, Dong Yu
2019 J jnl
Learning Two-Branch Neural Networks for Image-Text Matching Tasks.
IEEE Trans. Pattern Anal. Mach. Intell.
Liwei Wang, Yin Li, Jing Huang, Svetlana Lazebnik