Aurelia Guy
5 papers · 2018–2022 · 2 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
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
👥
Mega-Team · Squad
Venues
Top co-authors
Research topics
Machine Learning
(4)
Natural Language Processing
(3)
Artificial Intelligence
(2)
Learning Types
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Deep Learning
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications · Reinforcement Learning
(1)
Applications · Natural Language Processing
(1)
Core AI
(1)
Generation
(1)
Learning Paradigms
(1)
Methods
(1)
Keywords
scaling law
(2)
semi-supervised learning
(1)
question answering
(1)
visual grounding
(1)
document retrieval
(1)
continuous control
(1)
random search
(1)
mixture of expert
(1)
model-free reinforcement learning
(1)
embodied agent
(1)
model scaling
(1)
parameter efficiency
(1)
token scaling
(1)
knowledge-intensive task
(1)
linear policy
(1)
routing network
(1)
retrieval-augmented language model
(1)
large language model
(1)
transformer model
(1)
compute-optimal training
(1)
Papers
An empirical analysis of compute-optimal large language model training
NeurIPS 2022
Improving Language Models by Retrieving from Trillions of Tokens
ICML 2022
Intra-agent speech permits zero-shot task acquisition
NeurIPS 2022
Unified Scaling Laws for Routed Language Models
ICML 2022
Simple random search of static linear policies is competitive for reinforcement learning
NeurIPS 2018