Chaofan Tao
14 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (26) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Keyword Champion
(2)
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Grand Slam
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Conference Pioneer
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Unstoppable Β· Bronze
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The Questioner
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Century Club Β· Bronze
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Research topics
Artificial Intelligence
(10)
Core AI Β· Artificial Intelligence
(10)
Machine Learning
(7)
Deep Learning
(6)
Application Areas
(6)
Learning Types
(4)
Natural Language Processing
(3)
Architectures
(3)
Optimization & Theory Β· Machine Learning
(3)
Optimization & Theory Β· Deep Learning
(3)
Resources & Methods
(3)
Computer Vision
(2)
Learning Paradigms
(2)
Analysis
(1)
Core AI Β· Computer Vision
(1)
Keywords
model compression
(5)
knowledge distillation
(4)
language model
(3)
multimodal learning
(3)
generative language model
(2)
kv cache
(2)
large language model
(2)
vision-language transformer
(2)
kullback-leibler divergence
(1)
instruction tuning
(1)
object detection
(1)
signal processing
(1)
neural network pruning
(1)
generative model
(1)
clinical diagnosis
(1)
model adaptation
(1)
transfer learning
(1)
memory optimization
(1)
sparse training
(1)
uncertainty estimation
(1)
Papers
Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation
ACL 2026
D_2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
ICLR 2025
MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation
ACL 2025
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models
COLING 2025
UNComp: Can Matrix Entropy Uncover Sparsity? β A Compressor Design from an Uncertainty-Aware Perspective
EMNLP 2025
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers
ICML 2024
RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis
ICML 2024
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies
NeurIPS 2024
Structured Pruning for Efficient Generative Pre-trained Language Models
ACL 2023
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
ICML 2023
Compression of Generative Pre-trained Language Models via Quantization
ACL 2022
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling
EMNLP 2022
Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction
ECCV 2020
MR-NET: Exploiting Mutual Relation for Visual Relationship Detection
AAAI 2019