Carole-Jean Wu
7 papers · 2022–2025 · 4 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 ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(30)
🐣
Hot Topic Early Bird
👥
Mega-Team · Squad
Venues
Top co-authors
Research topics
Machine Learning
(7)
Application Areas
(5)
Deep Learning
(4)
Artificial Intelligence
(3)
Core Methods
(3)
Optimization & Theory · Machine Learning
(3)
Optimization & Theory · Deep Learning
(3)
Computer Science
(2)
Data Science & Analytics
(2)
Applications
(2)
Architectures
(2)
Core AI
(2)
Learning Types
(2)
Models
(2)
Natural Language Processing
(1)
Keywords
large language model
(2)
inference optimization
(2)
model compression
(2)
efficient inference
(2)
machine translation
(1)
model evaluation
(1)
benchmark suite
(1)
knowledge distillation
(1)
empirical study
(1)
early exit
(1)
machine learning
(1)
synthetic data
(1)
scaling law
(1)
mixture of expert
(1)
throughput optimization
(1)
model collapse
(1)
data quality
(1)
recommendation system
(1)
language modeling
(1)
collaborative filtering
(1)
Papers
Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls
EMNLP 2025
CHAI: Clustered Head Attention for Efficient LLM Inference
ICML 2024
Croissant: A Metadata Format for ML-Ready Datasets
NeurIPS 2024
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
ACL 2024
Toward Efficient Inference for Mixture of Experts
NeurIPS 2024
DataPerf: Benchmarks for Data-Centric AI Development
NeurIPS 2023
Infinite Recommendation Networks: A Data-Centric Approach
NeurIPS 2022