Jeonghoon Kim
11 papers · 2022–2026 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (13) π Conference Polyglot (7) π Interdisciplinary Bridge π Renaissance Researcher (5) π§ Keyword Pioneer
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Conference Polyglot
(7)
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Renaissance Researcher
(5)
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Triple Crown
π±
Topic Pioneer
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Century Club
(10)
π
Trend Setter
Conferences
ICLR (3)
ACL (2)
ICML (2)
ECCV (1)
EMNLP (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
model compression
(3)
parameter-efficient fine-tuning
(2)
large language model
(2)
post-training quantization
(2)
neural network optimization
(2)
parameter sharing
(1)
first-order logic
(1)
knowledge graph
(1)
parameter efficient fine-tuning
(1)
weight quantization
(1)
quantization error
(1)
language model compression
(1)
speech language model
(1)
query representation
(1)
binary quantization
(1)
multi-hop logical reasoning
(1)
binary coding quantization
(1)
weight rounding
(1)
optimizer state
(1)
full-duplex system
(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
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
ICLR 2024
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
ICLR 2024
Improving Multi-hop Logical Reasoning in Knowledge Graphs with Context-Aware Query Representation Learning
ACL 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
NIPS 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