Heo, Juyeon

16 publications

TMLR 2025 Do Concept Bottleneck Models Respect Localities? Naveen Janaki Raman, Mateo Espinosa Zarlenga, Juyeon Heo, Mateja Jamnik

ICLR 2025 Do LLMs Estimate Uncertainty Well in Instruction-Following? Juyeon Heo, Miao Xiong, Christina Heinze-Deml, Jaya Narain

ICLR 2025 Do LLMs ``know'' Internally When They Follow Instructions? Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Kwan Ho Ryan Chan, Shirley You Ren, Andrew Miller, Udhyakumar Nallasamy, Jaya Narain

NeurIPSW 2024 Do LLMs Estimate Uncertainty Well in Instruction-Following? Juyeon Heo, Miao Xiong, Christina Heinze-Deml, Jaya Narain

NeurIPSW 2024 Do LLMs Internally ``know'' When They Follow Instructions? Juyeon Heo, Christina Heinze-Deml, Oussama Elachqar, Shirley You Ren, Kwan Ho Ryan Chan, Udhyakumar Nallasamy, Andrew Miller, Jaya Narain

NeurIPSW 2024 LLMs on Interactive Feature Collections with Implicit Look-Ahead Strategies Juyeon Heo, Vihari Piratla, Kyunghyun Lee, Hyonkeun Joh, Adrian Weller

TMLR 2024 Leveraging Task Structures for Improved Identifiability in Neural Network Representations Wenlin Chen, Julien Horwood, Juyeon Heo, José Miguel Hernández-Lobato

ICLR 2024 Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue, Longhui Yu, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schölkopf

NeurIPSW 2023 Do Concept Bottleneck Models Obey Locality? Naveen Raman, Mateo Espinosa Zarlenga, Juyeon Heo, Mateja Jamnik

NeurIPSW 2023 Estimation of Concept Explanations Should Be Uncertainty Aware Vihari Piratla, Juyeon Heo, Sukriti Singh, Adrian Weller

ICLRW 2023 GeValDi: Generative Validation of Discriminative Models Vivek Palaniappan, Matthew Ashman, Katherine M. Collins, Juyeon Heo, Adrian Weller, Umang Bhatt

ICLR 2023 Robust Explanation Constraints for Neural Networks Matthew Robert Wicker, Juyeon Heo, Luca Costabello, Adrian Weller

AAAI 2023 Towards More Robust Interpretation via Local Gradient Alignment Sunghwan Joo, Seokhyeon Jeong, Juyeon Heo, Adrian Weller, Taesup Moon

NeurIPS 2023 Use Perturbations When Learning from Explanations Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller

NeurIPSW 2023 Use Perturbations When Learning from Explanations Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller

NeurIPS 2019 Fooling Neural Network Interpretations via Adversarial Model Manipulation Juyeon Heo, Sunghwan Joo, Taesup Moon