Byeongwook Kim
According to our database1,
Byeongwook Kim
authored at least 19 papers
between 2018 and 2024.
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Bibliography
2024
No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization.
CoRR, 2024
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation.
CoRR, 2024
2023
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models.
CoRR, 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
nuQmm: Quantized MatMul for Efficient Inference of Large-Scale Generative Language Models.
CoRR, 2022
Proceedings of the Tenth International Conference on Learning Representations, 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
CoRR, 2021
Sequential Encryption of Sparse Neural Networks Toward Optimum Representation of Irregular Sparsity.
CoRR, 2021
2020
BiQGEMM: matrix multiplication with lookup table for binary-coding-based quantized DNNs.
Proceedings of the International Conference for High Performance Computing, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
CoRR, 2019
2018