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AstroMLab
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AstroMLab is a collaborative initiative of astronomers and AI experts dedicated to advancing Large Language Models in astronomy. Our goal is to expedite scientific discovery through LLM-driven research.
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Tijmen2Â
updated
a
Space
about 1 month ago
KnightHardikÂ
authored
a
paper
about 1 month ago
tingyuansenÂ
updated
a
dataset
about 1 month ago
research4panÂ
authored
a
paper
3 months ago
TirthankarSlgÂ
authored
a
paper
3 months ago
aaccomazziÂ
authored
a
paper
7 months ago
research4panÂ
authored
a
paper
8 months ago
research4panÂ
authored
6
papers
9 months ago
LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models
Paper
•
2306.12420
•
Published
•
2
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
Paper
•
2304.06767
•
Published
•
2
DetGPT: Detect What You Need via Reasoning
Paper
•
2305.14167
•
Published
AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets
Paper
•
2401.01916
•
Published
•
1
Plum: Prompt Learning using Metaheuristic
Paper
•
2311.08364
•
Published
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
Paper
•
2403.17919
•
Published
•
16
joshnguyenÂ
authored
a
paper
11 months ago
joshnguyenÂ
authored
a
paper
about 1 year ago
joshnguyenÂ
authored
a
paper
over 1 year ago
tingyuansenÂ
authored
a
paper
over 1 year ago