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Many-Shot In-Context Learning for Molecular Inverse Design

Many-Shot In-Context Learning for Molecular Inverse Design

Saeed Moayedpour
Alejandro Corrochano-Navarro
F. Sahneh
Shahriar Noroozizadeh
Alexander Koetter
Jiri Vymetal
Lorenzo Kogler-Anele
Pablo Mas
Yasser Jangjou
Sizhen Li
Michael Bailey
M. Bianciotto
Hans Matter
Christoph Grebner
Gerhard Hessler
Ziv Bar-Joseph
Sven Jager
    BDL
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Papers citing "Many-Shot In-Context Learning for Molecular Inverse Design"

4 / 4 papers shown
Title
MOLLM: Multi-Objective Large Language Model for Molecular Design -- Optimizing with Experts
MOLLM: Multi-Objective Large Language Model for Molecular Design -- Optimizing with Experts
Nian Ran
Yue Wang
Richard Allmendinger
123
1
0
18 Feb 2025
In-Context Learning with Long-Context Models: An In-Depth Exploration
In-Context Learning with Long-Context Models: An In-Depth Exploration
Amanda Bertsch
Maor Ivgi
Uri Alon
Jonathan Berant
Matthew R. Gormley
Matthew R. Gormley
Graham Neubig
ReLM
AIMat
158
78
0
30 Apr 2024
Large Language Models
Large Language Models
Michael R Douglas
LLMAG
LM&MA
135
625
0
11 Jul 2023
Scaffold-constrained molecular generation
Scaffold-constrained molecular generation
Maxime Langevin
H. Minoux
M. Levesque
M. Bianciotto
61
48
0
15 Sep 2020

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