Jeonghoon Kim
11 papers · 2022–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (20) 🌱 Topic Pioneer
👑
Triple Crown
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(7)
Core AI
(7)
Application Areas
(6)
Deep Learning
(5)
Natural Language Processing
(4)
Resources & Methods
(4)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Knowledge & Reasoning
(1)
Speech & Audio
(1)
Architectures
(1)
Core Methods
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
model compression
(4)
weight quantization
(3)
matrix multiplication
(2)
neural network optimization
(2)
parameter-efficient fine-tuning
(2)
large language model
(2)
post-training quantization
(2)
deep neural network
(1)
outlier handling
(1)
in-context learning
(1)
first-order logic
(1)
knowledge graph
(1)
parameter sharing
(1)
knowledge distillation
(1)
quantization error
(1)
low-rank approximation
(1)
inference optimization
(1)
look-up table
(1)
energy efficiency
(1)
context-aware learning
(1)
Papers
Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models
ACL 2026
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices
NAACL 2025
Peri-LN: Revisiting Normalization Layer in the Transformer Architecture
ICML 2025
Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning
ACL 2024
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
ICLR 2024
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
ICLR 2024
Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains
ECCV 2024
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization
ICML 2023
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization
NeurIPS 2023
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic
ICLR 2023
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
EMNLP 2022