Följ
Jaehyung Kim
Jaehyung Kim
Postdoctoral Fellow, Carnegie Mellon University
Verifierad e-postadress på andrew.cmu.edu - Startsida
Titel
Citeras av
Citeras av
År
M2m: Imbalanced Classification via Major-to-minor Translation
J Kim*, J Jeong*, J Shin
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), 2020
2432020
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
J Kim, Y Hur, S Park, E Yang, SJ Hwang, J Shin
Advances in Neural Information Processing Systems (NeurIPS 2020), 2020
1752020
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation
J Nam, J Kim, J Lee, J Shin
International Conference on Learning Representations (ICLR 2022), 2022
592022
Patch-Level Representation Learning for Self-Supervised Vision Transformers
S Yun, H Lee, J Kim, J Shin
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), 2022
542022
Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information
R Wan, J Kim, D Kang
AAAI Conference on Artificial Intelligence (AAAI 2023), 2023
252023
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
J Kim, J Nam, S Mo, J Park, SW Lee, M Seo, JW Ha, J Shin
International Conference on Learning Representations (ICLR 2024), 2024
16*2024
Time Is MattEr: Temporal Self-supervision for Video Transformers
S Yun, J Kim, D Han, H Song, JW Ha, J Shin
International Conference on Machine Learning (ICML 2022), 2022
122022
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different
J Kim, D Kang, S Ahn, J Shin
International Conference on Learning Representations (ICLR 2022), 2022
112022
Under the Surface: Tracking the Artifactuality of LLM-Generated Data
D Das, K De Langis, A Martin, J Kim, M Lee, ZM Kim, S Hayati, R Owan, ...
arXiv preprint arXiv:2401.14698, 2024
82024
Semi-supervised Tabular Classification via In-context Learning of Large Language Models
J Nam, W Song, SH Park, J Tack, S Yun, J Kim, J Shin
Workshop on Efficient Systems for Foundation Models (ICML 2023), 2023
62023
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs
W Song, S Oh, S Mo, J Kim, S Yun, JW Ha, J Shin
International Conference on Learning Representations (ICLR 2024), 2024
52024
Online Adaptation of Language Models with a Memory of Amortized Contexts
J Tack, J Kim, E Mitchell, J Shin, YW Teh, JR Schwarz
arXiv preprint arXiv:2403.04317, 2024
52024
Simplified Stochastic Feedforward Neural Networks
K Lee, J Kim, S Chong, J Shin
arXiv preprint arXiv:1704.03188, 2017
52017
SelectLLM: Can LLMs Select Important Instructions to Annotate?
RS Parkar, J Kim, JI Park, D Kang
arXiv preprint arXiv:2401.16553, 2024
42024
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning
J Kim, J Shin, D Kang
International Conference on Machine Learning (ICML 2023), 2023
22023
Learning to Correct for QA Reasoning with Black-box LLMs
J Kim, D Kim, Y Yang
arXiv preprint arXiv:2406.18695, 2024
12024
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training
J Kim, Y Mao, R Hou, H Yu, D Liang, P Fung, Q Wang, F Feng, L Huang, ...
Conference on Empirical Methods in Natural Language Processing (EMNLP 2023 …, 2023
12023
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information
J Kim, Y Kim, K de Langis, J Shin, D Kang
Annual Meeting of the Association for Computational Linguistics (ACL 2023), 2023
12023
Few-shot Personalization of LLMs with Mis-aligned Responses
J Kim, Y Yang
arXiv preprint arXiv:2406.18678, 2024
2024
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
J Nam, K Kim, S Oh, J Tack, J Kim, J Shin
arXiv preprint arXiv:2406.08527, 2024
2024
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20