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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

22 May 2025
Ziqing Wang
Kexin Zhang
Zihan Zhao
Yibo Wen
Abhishek Pandey
Han Liu
Kaize Ding
ArXivPDFHTML

Papers citing "A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization"

12 / 12 papers shown
Title
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Jiazhan Feng
Shijue Huang
Xingwei Qu
Ge Zhang
Yujia Qin
Baoquan Zhong
Chengquan Jiang
Jinxin Chi
Wanjun Zhong
OffRL
ReLM
SyDa
KELM
LRM
98
19
0
15 Apr 2025
Reasoning Models Can Be Effective Without Thinking
Reasoning Models Can Be Effective Without Thinking
Wenjie Ma
Jingxuan He
Charlie Snell
Tyler Griggs
Sewon Min
Matei A. Zaharia
ReLM
LRM
82
36
1
14 Apr 2025
Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization
Jiajun Yu
Y. Zheng
Huan Yee Koh
Xiaojun Jia
Tianyue Wang
Haishuai Wang
77
2
0
05 Mar 2025
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
102
1
0
18 Feb 2025
ControllableGPT: A Ground-Up Designed Controllable GPT for Molecule Optimization
ControllableGPT: A Ground-Up Designed Controllable GPT for Molecule Optimization
Xuefeng Liu
Songhao Jiang
Yangqiu Song
Rick L. Stevens
BDL
39
1
0
15 Feb 2025
Deep Lead Optimization: Leveraging Generative AI for Structural
  Modification
Deep Lead Optimization: Leveraging Generative AI for Structural Modification
Odin Zhang
Haitao Lin
Hui Zhang
Huifeng Zhao
Yufei Huang
Yuansheng Huang
Dejun Jiang
Chang-Yu Hsieh
P. Pan
Tingjun Hou
65
8
0
30 Apr 2024
Large Language Models are In-Context Molecule Learners
Large Language Models are In-Context Molecule Learners
Jiatong Li
Wei Liu
Zhihao Ding
Wenqi Fan
Yuqiang Li
Qing Li
77
6
0
07 Mar 2024
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRL
AI4TS
AI4CE
ALM
AIMat
188
9,946
0
17 Jun 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
432
41,106
0
28 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
173
2,687
0
02 May 2020
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
853
93,936
0
11 Oct 2018
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
123
8,067
0
16 Jun 2016
1