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MOLLM: Multi-Objective Large Language Model for Molecular Design -- Optimizing with Experts

MOLLM: Multi-Objective Large Language Model for Molecular Design -- Optimizing with Experts

18 February 2025
Nian Ran
Yue Wang
Richard Allmendinger
ArXivPDFHTML

Papers citing "MOLLM: Multi-Objective Large Language Model for Molecular Design -- Optimizing with Experts"

35 / 35 papers shown
Title
A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization
A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization
Ziqing Wang
Kexin Zhang
Zihan Zhao
Yibo Wen
Abhishek Pandey
Han Liu
Kaize Ding
44
0
0
22 May 2025
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
Hyeon-Seob Kim
Minsu Kim
Sanghyeok Choi
Jinkyoo Park
62
3
0
31 Dec 2024
Large Language Model Aided Multi-objective Evolutionary Algorithm: a
  Low-cost Adaptive Approach
Large Language Model Aided Multi-objective Evolutionary Algorithm: a Low-cost Adaptive Approach
Wen Liu
Long Chen
Zhenzhou Tang
48
3
0
03 Oct 2024
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
...
Hans Matter
Christoph Grebner
Gerhard Hessler
Ziv Bar-Joseph
Sven Jager
BDL
45
4
0
26 Jul 2024
LICO: Large Language Models for In-Context Molecular Optimization
LICO: Large Language Models for In-Context Molecular Optimization
Tung Nguyen
Aditya Grover
57
9
0
27 Jun 2024
Efficient Evolutionary Search Over Chemical Space with Large Language Models
Efficient Evolutionary Search Over Chemical Space with Large Language Models
Haorui Wang
Marta Skreta
C. Ser
Wenhao Gao
Lingkai Kong
...
Yanqiao Zhu
Yuanqi Du
Alán Aspuru-Guzik
Kirill Neklyudov
Chao Zhang
68
17
0
23 Jun 2024
Large Language Model-Aided Evolutionary Search for Constrained
  Multiobjective Optimization
Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization
Zeyi Wang
Songbai Liu
Jianyong Chen
Kay Chen Tan
48
11
0
09 May 2024
Exploring the True Potential: Evaluating the Black-box Optimization
  Capability of Large Language Models
Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models
Beichen Huang
Xingyu Wu
Yu Zhou
Jibin Wu
Liang Feng
Ran Cheng
Kay Chen Tan
63
14
0
09 Apr 2024
Large Language Model-Based Evolutionary Optimizer: Reasoning with
  elitism
Large Language Model-Based Evolutionary Optimizer: Reasoning with elitism
Shuvayan Brahmachary
Subodh M. Joshi
Aniruddha Panda
K. Koneripalli
A. Sagotra
Harshil Patel
Ankush Sharma
Ameya Dilip Jagtap
Kaushic Kalyanaraman
LRM
68
21
0
04 Mar 2024
Evolutionary Computation in the Era of Large Language Model: Survey and
  Roadmap
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap
Xingyu Wu
Sheng-hao Wu
Jibin Wu
Liang Feng
Kay Chen Tan
ELM
67
64
0
18 Jan 2024
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design
  Using Large Language Model
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
Fei Liu
Xialiang Tong
Mingxuan Yuan
Xi Lin
Fu Luo
Zhenkun Wang
Zhichao Lu
Qingfu Zhang
VLM
69
67
0
04 Jan 2024
Algorithm Evolution Using Large Language Model
Algorithm Evolution Using Large Language Model
Fei Liu
Xialiang Tong
Mingxuan Yuan
Qingfu Zhang
40
40
0
26 Nov 2023
The Impact of Large Language Models on Scientific Discovery: a
  Preliminary Study using GPT-4
The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4
Microsoft Research AI4Science
Microsoft Quantum
LM&MA
ELM
19
109
0
13 Nov 2023
Large Language Models as Evolutionary Optimizers
Large Language Models as Evolutionary Optimizers
Shengcai Liu
Caishun Chen
Xinghua Qu
Jiaheng Zhang
Yew-Soon Ong
40
101
0
29 Oct 2023
Large Language Models as Optimizers
Large Language Models as Optimizers
Chengrun Yang
Xuezhi Wang
Yifeng Lu
Hanxiao Liu
Quoc V. Le
Denny Zhou
Xinyun Chen
ODL
50
395
0
07 Sep 2023
Large Language Models
Large Language Models
Michael R Douglas
LLMAG
LM&MA
80
598
0
11 Jul 2023
Empowering Molecule Discovery for Molecule-Caption Translation with
  Large Language Models: A ChatGPT Perspective
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective
Jiatong Li
Yunqing Liu
Wenqi Fan
Xiao Wei
Hui Liu
Jiliang Tang
Qing Li
31
90
0
11 Jun 2023
ChemCrow: Augmenting large-language models with chemistry tools
ChemCrow: Augmenting large-language models with chemistry tools
Andres M Bran
Sam Cox
Oliver Schilter
Carlo Baldassari
Andrew D. White
P. Schwaller
LLMAG
69
374
0
11 Apr 2023
Domain-Agnostic Molecular Generation with Chemical Feedback
Domain-Agnostic Molecular Generation with Chemical Feedback
Yin Fang
Ningyu Zhang
Zhuo Chen
Lingbing Guo
Xiaohui Fan
Huajun Chen
55
13
0
26 Jan 2023
Reinforced Genetic Algorithm for Structure-based Drug Design
Reinforced Genetic Algorithm for Structure-based Drug Design
Tianfan Fu
Wenhao Gao
Connor W. Coley
Jimeng Sun
53
54
0
28 Nov 2022
ReAct: Synergizing Reasoning and Acting in Language Models
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao
Jeffrey Zhao
Dian Yu
Nan Du
Izhak Shafran
Karthik Narasimhan
Yuan Cao
LLMAG
ReLM
LRM
326
2,709
0
06 Oct 2022
Exploring Chemical Space with Score-based Out-of-distribution Generation
Exploring Chemical Space with Score-based Out-of-distribution Generation
Seul Lee
Jaehyeong Jo
Sung Ju Hwang
OODD
60
78
0
06 Jun 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for
  Molecule Design
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Yuanqi Du
Tianfan Fu
Jimeng Sun
Shengchao Liu
AI4CE
82
89
0
28 Mar 2022
Multi-Objective Latent Space Optimization of Generative Molecular Design
  Models
Multi-Objective Latent Space Optimization of Generative Molecular Design Models
Nafiz Abeer
Nathan M. Urban
Ryan Weil
Francis J. Alexander
Byung-Jun Yoon
35
16
0
01 Mar 2022
Differentiable Scaffolding Tree for Molecular Optimization
Differentiable Scaffolding Tree for Molecular Optimization
Tianfan Fu
Wenhao Gao
Cao Xiao
Jacob Yasonik
Connor W. Coley
Jimeng Sun
55
78
0
22 Sep 2021
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Yutong Xie
Chence Shi
Hao Zhou
Yuwei Yang
Weinan Zhang
Yong Yu
Lei Li
55
142
0
18 Mar 2021
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
340
41,106
0
28 May 2020
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring
  the Chemical Space
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space
AkshatKumar Nigam
Pascal Friederich
Mario Krenn
Alán Aspuru-Guzik
AI4CE
31
131
0
25 Sep 2019
Learning Multimodal Graph-to-Graph Translation for Molecular
  Optimization
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization
Wengong Jin
Kevin Kaichuang Yang
Regina Barzilay
Tommi Jaakkola
65
226
0
03 Dec 2018
GuacaMol: Benchmarking Models for De Novo Molecular Design
GuacaMol: Benchmarking Models for De Novo Molecular Design
Nathan Brown
Marco Fiscato
Marwin H. S. Segler
Alain C. Vaucher
ELM
75
703
0
22 Nov 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
279
1,358
0
12 Feb 2018
ChemGAN challenge for drug discovery: can AI reproduce natural chemical
  diversity?
ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?
Mostapha Benhenda
GAN
38
102
0
28 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
268
129,831
0
12 Jun 2017
Molecular De Novo Design through Deep Reinforcement Learning
Molecular De Novo Design through Deep Reinforcement Learning
Marcus Olivecrona
T. Blaschke
Ola Engkvist
Hongming Chen
BDL
75
1,003
0
25 Apr 2017
Automatic chemical design using a data-driven continuous representation
  of molecules
Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli
Jennifer N. Wei
David Duvenaud
José Miguel Hernández-Lobato
Benjamín Sánchez-Lengeling
Dennis Sheberla
J. Aguilera-Iparraguirre
Timothy D. Hirzel
Ryan P. Adams
Alán Aspuru-Guzik
3DV
103
2,911
0
07 Oct 2016
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