Keiran Paster
7 papers · 2021–2024 · 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
(17)
Venues
Top co-authors
Research topics
Keywords
large language model
(3)
mathematical reasoning
(2)
zero-shot learning
(1)
few-shot learning
(1)
offline reinforcement learning
(1)
domain generalization
(1)
theorem proving
(1)
in-context learning
(1)
prompt engineering
(1)
supervised learning
(1)
code generation
(1)
instruction following
(1)
model-based reinforcement learning
(1)
tool use
(1)
inverse dynamics model
(1)
decision transformer
(1)
data quality
(1)
behavioral cloning
(1)
visual planning
(1)
latent prior
(1)
Papers
Llemma: An Open Language Model for Mathematics
ICLR 2024
OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text
ICLR 2024
Large Language Models are Human-Level Prompt Engineers
ICLR 2023
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
NeurIPS 2023
You Can’t Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments
NeurIPS 2022
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
NeurIPS 2021
Planning from Pixels using Inverse Dynamics Models
ICLR 2021