Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
All Papers
0 / 0 papers shown
Title
Home
Papers
2505.07027
Cited By
LLM-Augmented Chemical Synthesis and Design Decision Programs
11 May 2025
Haorui Wang
Jeff Guo
Lingkai Kong
R. Ramprasad
Philippe Schwaller
Yuanqi Du
Chao Zhang
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"LLM-Augmented Chemical Synthesis and Design Decision Programs"
40 / 40 papers shown
Title
oMeBench: Towards Robust Benchmarking of LLMs in Organic Mechanism Elucidation and Reasoning
R. Xu
Y. Zhang
Qingyun Wang
Carl Edwards
Heng Ji
LRM
91
0
0
09 Oct 2025
A Genetic Algorithm for Navigating Synthesizable Molecular Spaces
Alston Lo
Connor W. Coley
Wojciech Matusik
103
0
0
25 Sep 2025
AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search
Xiaozhuang Song
Xuanhao Pan
Xinjian Zhao
Hangting Ye
Shufei Zhang
Jian Tang
Tianshu Yu
74
1
0
25 Sep 2025
The Rise of Generative AI for Metal-Organic Framework Design and Synthesis
Chenru Duan
Aditya Nandy
Shyam Chand Pal
Xin Yang
Wenhao Gao
...
Shijing Sun
Alán Aspuru-Guzik
Seyed Mohamad Moosavi
Robert Wexler
Zhiling Zheng
AI4CE
96
3
0
15 Aug 2025
ASKCOS: an open source software suite for synthesis planning
Zhengkai Tu
Sourabh J. Choure
Mun Hong Fong
Jihye Roh
Itai Levin
...
Michael E. Fortunato
Mengjie Liu
W. Green
K. Jensen
Connor W. Coley
161
10
0
03 Jan 2025
GPT-4o System Card
OpenAI OpenAI
:
Aaron Hurst
Adam Lerer
Adam P. Goucher
...
Yuchen He
Yuchen Zhang
Yujia Jin
Yunxing Dai
Yury Malkov
MLLM
542
2,591
0
25 Oct 2024
Generative Flows on Synthetic Pathway for Drug Design
International Conference on Learning Representations (ICLR), 2024
Seonghwan Seo
Minsu Kim
Tony Shen
Martin Ester
Jinkyoo Park
Sungsoo Ahn
Woo Youn Kim
261
13
0
06 Oct 2024
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning
International Conference on Learning Representations (ICLR), 2024
Gang Liu
Michael Sun
Wojciech Matusik
Meng Jiang
Jie Chen
244
17
0
05 Oct 2024
Generative Artificial Intelligence for Navigating Synthesizable Chemical Space
Wenhao Gao
Shitong Luo
Connor W. Coley
160
15
0
04 Oct 2024
BatGPT-Chem: A Foundation Large Model For Retrosynthesis Prediction
Yifei Yang
Runhan Shi
Zuchao Li
Shu Jiang
Bao-Liang Lu
Yang Yang
Hai Zhao
210
8
0
19 Aug 2024
Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search
Kevin Yu
Jihye Roh
Ziang Li
Wenhao Gao
Runzhong Wang
Connor W. Coley
306
17
0
08 Jul 2024
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
235
32
0
23 Jun 2024
RGFN: Synthesizable Molecular Generation Using GFlowNets
Michal Koziarski
Andrei Rekesh
Dmytro Shevchuk
A. V. D. Sloot
Piotr Gaiñski
Yoshua Bengio
Cheng-Hao Liu
Mike Tyers
Robert A. Batey
199
31
0
01 Jun 2024
SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
M. Cretu
Charles Harris
Julien Roy
Emmanuel Bengio
Pietro Lio
Bruno Correia
Julien Roy
Emmanuel Bengio
Pietro Liò
275
4
0
02 May 2024
Understanding the planning of LLM agents: A survey
Xu Huang
Weiwen Liu
Xiaolong Chen
Xingmei Wang
Hao Wang
Defu Lian
Yasheng Wang
Ruiming Tang
Enhong Chen
LLMAG
LM&Ro
290
332
0
05 Feb 2024
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Yuchen Zhuang
Xiang Chen
Tong Yu
Saayan Mitra
Victor S. Bursztyn
Ryan Rossi
Somdeb Sarkhel
Chao Zhang
LLMAG
213
90
0
20 Oct 2023
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
International Conference on Learning Representations (ICLR), 2023
Melanie Sclar
Yejin Choi
Yulia Tsvetkov
Alane Suhr
261
524
0
17 Oct 2023
RetroBridge: Modeling Retrosynthesis with Markov Bridges
International Conference on Learning Representations (ICLR), 2023
Ilia Igashov
Arne Schneuing
Marwin H. S. Segler
Michael M. Bronstein
B. Correia
250
26
0
30 Aug 2023
Retrosynthesis Prediction with Local Template Retrieval
AAAI Conference on Artificial Intelligence (AAAI), 2023
Shufang Xie
Rui Yan
Junliang Guo
Ziheng Lu
Lijun Wu
Tao Qin
179
16
0
07 Jun 2023
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning
Neural Information Processing Systems (NeurIPS), 2023
Zirui Zhao
W. Lee
David Hsu
LRM
LLMAG
LM&Ro
334
313
0
23 May 2023
ChemCrow: Augmenting large-language models with chemistry tools
Andres M Bran
Sam Cox
Oliver Schilter
Carlo Baldassari
Andrew D. White
P. Schwaller
LLMAG
572
627
0
11 Apr 2023
Retrosynthetic Planning with Dual Value Networks
International Conference on Machine Learning (ICML), 2023
Guoqing Liu
Di Xue
Shufang Xie
Ziheng Lu
Austin Tripp
Krzysztof Maziarz
Marwin H. S. Segler
Tao Qin
Zongzhang Zhang
Tie-Yan Liu
OffRL
258
21
0
31 Jan 2023
LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
IEEE International Conference on Computer Vision (ICCV), 2022
Chan Hee Song
Jiaman Wu
Clay Washington
Brian M Sadler
Wei-Lun Chao
Yu-Chuan Su
LLMAG
LM&Ro
426
587
0
08 Dec 2022
Root-aligned SMILES: A Tight Representation for Chemical Reaction Prediction
Chemical Science (Chem. Sci.), 2022
Zipeng Zhong
Mingli Song
Zunlei Feng
Tiantao Liu
Lingxiang Jia
Shaolun Yao
Min-Ying Wu
Tingjun Hou
Weilong Dai
419
69
0
22 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Neural Information Processing Systems (NeurIPS), 2022
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
2.1K
14,012
0
28 Jan 2022
Amortized Tree Generation for Bottom-up Synthesis Planning and Synthesizable Molecular Design
Wenhao Gao
Rocío Mercado
Connor W. Coley
226
77
0
12 Oct 2021
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
International Conference on Learning Representations (ICLR), 2021
Yutong Xie
Chence Shi
Hao Zhou
Yuwei Yang
Weinan Zhang
Yong Yu
Lei Li
192
171
0
18 Mar 2021
Barking up the right tree: an approach to search over molecule synthesis DAGs
Neural Information Processing Systems (NeurIPS), 2020
John Bradshaw
Brooks Paige
Matt J. Kusner
Marwin H. S. Segler
José Miguel Hernández-Lobato
275
67
0
21 Dec 2020
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search
Binghong Chen
Chengtao Li
H. Dai
Le Song
162
140
0
29 Jun 2020
Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits
Mikolaj Sacha
Mikolaj Blaz
Piotr Byrski
Paweł Dąbrowski-Tumański
Mikołaj Chromiński
Rafał Loska
Pawel Wlodarczyk-Pruszynski
Stanislaw Jastrzebski
GNN
258
175
0
27 Jun 2020
Learning Graph Models for Retrosynthesis Prediction
Neural Information Processing Systems (NeurIPS), 2020
Vignesh Ram Somnath
Charlotte Bunne
Connor W. Coley
Andreas Krause
Regina Barzilay
183
115
0
12 Jun 2020
Molecular Design in Synthetically Accessible Chemical Space via Deep Reinforcement Learning
ACS Omega (ACS Omega), 2020
Julien Horwood
Emmanuel Noutahi
AI4CE
219
77
0
29 Apr 2020
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
International Conference on Machine Learning (ICML), 2020
S. Gottipati
B. Sattarov
Sufeng Niu
Yashaswi Pathak
Haoran Wei
...
Simon R. Blackburn
Connor W. Coley
Jian Tang
Sarath Chandar
Yoshua Bengio
157
124
0
26 Apr 2020
A Graph to Graphs Framework for Retrosynthesis Prediction
International Conference on Machine Learning (ICML), 2020
Chence Shi
Minkai Xu
Hongyu Guo
Ming Zhang
Jian Tang
214
173
0
28 Mar 2020
Retrosynthesis Prediction with Conditional Graph Logic Network
Neural Information Processing Systems (NeurIPS), 2020
H. Dai
Chengtao Li
Connor W. Coley
Bo Dai
Le Song
237
216
0
06 Jan 2020
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Ksenia Korovina
Sailun Xu
Kirthevasan Kandasamy
Willie Neiswanger
Barnabás Póczós
J. Schneider
Eric Xing
328
137
0
05 Aug 2019
Learning to Plan Chemical Syntheses
Marwin H. S. Segler
Mike Preuss
M. Waller
225
1,479
0
14 Aug 2017
Attention Is All You Need
Neural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
2.5K
157,684
0
12 Jun 2017
Retrosynthetic reaction prediction using neural sequence-to-sequence models
ACS Central Science (ACS Cent. Sci.), 2017
Bowen Liu
Bharath Ramsundar
Prasad Kawthekar
Jade Shi
Joseph Gomes
Quang Luu Nguyen
Stephen Ho
Jack L. Sloane
P. Wender
Vijay S. Pande
174
456
0
06 Jun 2017
Molecular De Novo Design through Deep Reinforcement Learning
Marcus Olivecrona
T. Blaschke
Ola Engkvist
Hongming Chen
BDL
384
1,121
0
25 Apr 2017
1