Jungwook Choi
17 papers · 2018–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (28)
π§¬
Topic Evolution
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(70)
Top co-authors
Research topics
Machine Learning
(16)
Application Areas
(14)
Artificial Intelligence
(10)
Core AI
(10)
Deep Learning
(9)
Optimization & Theory Β· Deep Learning
(7)
Techniques
(4)
Natural Language Processing
(3)
Learning Types
(3)
Optimization & Theory Β· Machine Learning
(3)
Robotics
(2)
Architectures
(2)
Resources & Methods
(2)
Computer Vision
(1)
Analysis
(1)
Keywords
model compression
(7)
model quantization
(6)
knowledge distillation
(5)
large language model
(4)
parameter-efficient fine-tuning
(3)
quantization-aware training
(3)
post-training quantization
(2)
low-rank adaptation
(2)
neural network optimization
(2)
activation quantization
(2)
edge deployment
(2)
code generation
(1)
robotic manipulation
(1)
trajectory prediction
(1)
speech recognition
(1)
preference alignment
(1)
imitation learning
(1)
reinforcement learning from human feedback
(1)
direct preference optimization
(1)
computational efficiency
(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
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment
ACL 2024
InfiniPot: Infinite Context Processing on Memory-Constrained LLMs
EMNLP 2024
RA-LoRA: Rank-Adaptive Parameter-Efficient Fine-Tuning for Accurate 2-bit Quantized Large Language Models
ACL 2024
Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization
EMNLP 2023
SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots
NeurIPS 2023
Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers
EACL 2023
Token-Scaled Logit Distillation for Ternary Weight Generative Language Models
NeurIPS 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
Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks
ICLR 2019
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks
NeurIPS 2019
Training Deep Neural Networks with 8-bit Floating Point Numbers
NeurIPS 2018