Jungwook Choi
17 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
π Interdisciplinary Bridge π Academic Marathon (7) π Conference Polyglot (7) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (31)
π
Interdisciplinary Bridge
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(31)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(65)
π
Century Club
(16)
π₯
Unstoppable
(5)
Conferences
NIPS (4)
ACL (3)
EMNLP (3)
AAAI (2)
EACL (2)
ICLR (2)
ICCV (1)
Top co-authors
Keywords
model compression
(7)
model quantization
(6)
knowledge distillation
(5)
large language model
(4)
quantization-aware training
(3)
parameter-efficient fine-tuning
(3)
edge deployment
(2)
post-training quantization
(2)
activation quantization
(2)
low-rank adaptation
(2)
neural network optimization
(2)
quantization aware training
(2)
motion forecasting
(1)
trajectory prediction
(1)
robotic manipulation
(1)
code generation
(1)
preference alignment
(1)
imitation learning
(1)
gradient computation
(1)
direct preference optimization
(1)
Papers
MapCoder-Lite: Distilling Multi-Agent Coding into a Single Small LLM
EACL 2026
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
Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control
ICCV 2025
RA-LoRA: Rank-Adaptive Parameter-Efficient Fine-Tuning for Accurate 2-bit Quantized Large Language Models
ACL 2024
InfiniPot: Infinite Context Processing on Memory-Constrained LLMs
EMNLP 2024
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
NIPS 2023
Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers
EACL 2023
SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots
NIPS 2023
Understanding and Improving Knowledge Distillation for Quantization Aware Training of Large Transformer Encoders
EMNLP 2022
Understanding the Role of Self Attention for Efficient Speech Recognition
ICLR 2022
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
AAAI 2021
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks
NIPS 2019
Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks
ICLR 2019
Training Deep Neural Networks with 8-bit Floating Point Numbers
NIPS 2018