Jeonghoon Kim
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
What Models Know, How Well They Know It: Knowledge-Weighted Fine-Tuning for Learning When to Say "I Don't Know".
CoRR, April, 2026
Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models.
CoRR, March, 2026
OmniACBench: A Benchmark for Evaluating Context-Grounded Acoustic Control in Omni-Modal Models.
CoRR, March, 2026
CoRR, March, 2026
ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning.
CoRR, March, 2026
CoRR, February, 2026
Neural Networks, 2026
2025
CoRR, August, 2025
CoRR, August, 2025
Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models.
CoRR, June, 2025
CoRR, May, 2025
Mach. Learn., April, 2025
SAGE-Amine: Generative Amine Design with Multi-Property Optimization for Efficient CO2 Capture.
CoRR, March, 2025
CoRR, February, 2025
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
2024
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Domain Generalization in LiDAR Semantic Segmentation Leveraged by Density Discriminative Feature Embedding.
CoRR, 2023
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization.
Proceedings of the International Conference on Machine Learning, 2023
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Pattern Recognit. Lett., 2022
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
2021
Towards a Federated Learning Framework for Heterogeneous Devices of Internet of Things.
CoRR, 2021
OAAE: Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space.
CoRR, 2021
Binarized Encoder-Decoder Network and Binarized Deconvolution Engine for Semantic Segmentation.
IEEE Access, 2021
2018
Reliability characterization of advanced CMOS image sensor (CIS) with 3D stack and in-pixel DTI.
Proceedings of the IEEE International Reliability Physics Symposium, 2018
A Hospital-tethered Mobile Personal Health Records: Comparison of Patient Engagement Function Usage Pattern According to Version-up.
Proceedings of the AMIA 2018, 2018
2004
IEEE Trans. Biomed. Eng., 2004