Janghwan Lee
5 papers · 2023–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(4)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(15)
Conferences
ACL (2)
AAAI (1)
EMNLP (1)
NIPS (1)
Top co-authors
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
RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy
AAAI 2025
AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference
ACL 2025
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment
ACL 2024
Token-Scaled Logit Distillation for Ternary Weight Generative Language Models
NIPS 2023
Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization
EMNLP 2023