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Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment
v1v2v3 (latest)

Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment

20 May 2024
A. Abdel-Rehim
Hector Zenil
Oghenejokpeme I. Orhobor
Marie Fisher
Ross J. Collins
Elizabeth Bourne
Gareth W. Fearnley
Emma Tate
Holly X. Smith
Larisa B. Soldatova
Ross D. King
    LM&MA
ArXiv (abs)PDFHTML

Papers citing "Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment"

13 / 13 papers shown
Symbolic Neural Generation with Applications to Lead Discovery in Drug Design
Symbolic Neural Generation with Applications to Lead Discovery in Drug Design
A. Srinivasan
A. Baskar
T. Dash
Michael Bain
Sanjay Kumar Dey
Mainak Banerjee
NAI
126
0
0
27 Oct 2025
Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery
Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery
Yanbo Zhang
S. Khan
Adnan Mahmud
Huck Yang
Alexander Lavin
...
James A. Evans
Alan R. Bundy
Jannis Brugger
Jesper Tegner
Hector Zenil
LM&MA
405
6
0
22 May 2025
Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models
Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language ModelsInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Guangzhi Xiong
Eric Xie
Corey Williams
Myles Kim
Amir Hassan Shariatmadari
Sikun Guo
Stefan Bekiranov
Aidong Zhang
HILMLM&MA
403
0
0
20 May 2025
34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery
34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery
Yoel Zimmermann
Adib Bazgir
Alexander H Al-Feghali
Mehrad Ansari
L. C. Brinson
...
Shang Zhu
Jan Janssen
Calvin Li
Ian Foster
Ben Blaiszik
496
5
0
05 May 2025
EvidenceBench: A Benchmark for Extracting Evidence from Biomedical Papers
EvidenceBench: A Benchmark for Extracting Evidence from Biomedical Papers
Jiadong Wang
Weili Cao
Kaicheng Wang
Xiaoyue Wang
Ashish Dalvi
...
David E. Neal
Maxim Khan
Christopher D. Rosin
R. Paturi
Leon Bergen
259
0
0
25 Apr 2025
Autonomous LLM-driven research from data to human-verifiable research
  papers
Autonomous LLM-driven research from data to human-verifiable research papers
Tal Ifargan
Lukas Hafner
Maor Kern
Ori Alcalay
Roy Kishony
317
43
0
24 Apr 2024
Using Large Language Models for Knowledge Engineering (LLMKE): A Case
  Study on Wikidata
Using Large Language Models for Knowledge Engineering (LLMKE): A Case Study on Wikidata
Bohui Zhang
Ioannis Reklos
Nitisha Jain
Albert Meroño-Peñuela
Elena Simperl
202
10
0
15 Sep 2023
Adapted Large Language Models Can Outperform Medical Experts in Clinical
  Text Summarization
Adapted Large Language Models Can Outperform Medical Experts in Clinical Text SummarizationNature Network Boston (NNB), 2023
Dave Van Veen
Cara Van Uden
Louis Blankemeier
Jean-Benoit Delbrouck
Asad Aali
...
C. Langlotz
Jason Hom
S. Gatidis
John M. Pauly
Akshay S. Chaudhari
ELMAI4MHLM&MA
951
597
0
14 Sep 2023
The Future of Fundamental Science Led by Generative Closed-Loop
  Artificial Intelligence
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence
Hector Zenil
Jesper N. Tegnér
Felipe S. Abrahão
Alexander Lavin
Vipin Kumar
...
Carla P. Gomes
J. Rowe
James A. Evans
H. Kitano
Ross D. King
AI4CE
236
22
0
09 Jul 2023
Accelerating science with human-aware artificial intelligence
Accelerating science with human-aware artificial intelligenceNature Human Behaviour (Nat Hum Behav), 2023
J. Sourati
James A. Evans
172
67
0
02 Jun 2023
Evaluating Large Language Models Trained on Code
Evaluating Large Language Models Trained on Code
Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé
...
Bob McGrew
Dario Amodei
Sam McCandlish
Ilya Sutskever
Wojciech Zaremba
ELMALM
2.2K
8,106
0
07 Jul 2021
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
VLMSSLSSeg
3.0K
109,193
0
11 Oct 2018
Generating Wikipedia by Summarizing Long Sequences
Generating Wikipedia by Summarizing Long Sequences
Peter J. Liu
Mohammad Saleh
Etienne Pot
Ben Goodrich
Ryan Sepassi
Lukasz Kaiser
Noam M. Shazeer
CVBM
467
851
0
30 Jan 2018
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