Chaofan Tao
14 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (10)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(8)
🏆
Grand Slam
🚀
Conference Pioneer
❓
The Questioner
💎
Century Club
(13)
Conferences
ACL (4)
ICML (3)
EMNLP (2)
AAAI (1)
COLING (1)
ECCV (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
model compression
(5)
knowledge distillation
(4)
multimodal learning
(3)
language model
(3)
large language model
(2)
generative language model
(2)
generative model
(1)
object detection
(1)
neural network pruning
(1)
instruction tuning
(1)
signal processing
(1)
kullback-leibler divergence
(1)
clinical diagnosis
(1)
transfer learning
(1)
sparse training
(1)
uncertainty estimation
(1)
scaling law
(1)
parameter quantization
(1)
kv cache
(1)
model adaptation
(1)
Papers
Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation
ACL 2026
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models
COLING 2025
$\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
ICLR 2025
UNComp: Can Matrix Entropy Uncover Sparsity? — A Compressor Design from an Uncertainty-Aware Perspective
EMNLP 2025
MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation
ACL 2025
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies
NIPS 2024
RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis
ICML 2024
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers
ICML 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