Janghwan Lee
5 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Bronze
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Interdisciplinary Bridge ยท Bronze
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Keywords
large language model
(3)
model compression
(3)
model quantization
(2)
post-training quantization
(2)
reinforcement learning from human feedback
(1)
language model
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
inference efficiency
(1)
weight quantization
(1)
error compensation
(1)
activation outlier
(1)
activation quantization
(1)
2-bit inference
(1)
2-bit quantization
(1)
floating-point format
(1)
quantization error compensation
(1)
direct preference optimization
(1)
knowledge distillation
(1)
preference alignment
(1)
Papers
AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference
ACL 2025
RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy
AAAI 2025
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment
ACL 2024
Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization
EMNLP 2023
Token-Scaled Logit Distillation for Ternary Weight Generative Language Models
NeurIPS 2023