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Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery

Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery

22 May 2025
Yanbo Zhang
S. Khan
Adnan Mahmud
Huck Yang
Alexander Lavin
Michael Levin
J. Frey
Jared Dunnmon
James A. Evans
Alan R. Bundy
Jannis Brugger
Jesper Tegner
Hector Zenil
    LM&MA
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Papers citing "Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery"

37 / 37 papers shown
Title
Towards an AI co-scientist
Towards an AI co-scientist
Juraj Gottweis
W. Weng
Alexander Daryin
T. Tu
Anil Palepu
...
Gary Peltz
Yunhan Xu
Annalisa Pawlosky
Alan Karthikesalingam
Vivek Natarajan
LLMAG
64
38
0
26 Feb 2025
Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models
Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models
Marianna Nezhurina
Lucia Cipolina-Kun
Mehdi Cherti
J. Jitsev
LLMAG
LRM
ELM
ReLM
69
30
0
04 Jun 2024
A Survey on Large Language Models for Code Generation
A Survey on Large Language Models for Code Generation
Juyong Jiang
Fan Wang
Jiasi Shen
Sungju Kim
Sunghun Kim
87
176
0
01 Jun 2024
Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment
Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment
A. Abdel-Rehim
Hector Zenil
Oghenejokpeme I. Orhobor
Marie Fisher
Ross J. Collins
...
Gareth W. Fearnley
Emma Tate
Holly X. Smith
Larisa B. Soldatova
Ross D. King
LM&MA
81
7
0
20 May 2024
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language
  Models
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
Wenqi Fan
Yujuan Ding
Liang-bo Ning
Shijie Wang
Hengyun Li
Dawei Yin
Tat-Seng Chua
Qing Li
RALM
3DV
59
215
0
10 May 2024
Reverse Training to Nurse the Reversal Curse
Reverse Training to Nurse the Reversal Curse
O. Yu. Golovneva
Zeyuan Allen-Zhu
Jason Weston
Sainbayar Sukhbaatar
53
35
0
20 Mar 2024
Assisting in Writing Wikipedia-like Articles From Scratch with Large
  Language Models
Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models
Yijia Shao
Yucheng Jiang
Theodore A. Kanell
Peter Xu
Omar Khattab
Monica S. Lam
LLMAG
KELM
53
39
0
22 Feb 2024
Assessing and Understanding Creativity in Large Language Models
Assessing and Understanding Creativity in Large Language Models
Yunpu Zhao
Rui Zhang
Wenyi Li
Di Huang
Jiaming Guo
...
Xingui Hu
Zidong Du
Qi Guo
Ling Li
Yunji Chen
LRM
62
24
0
23 Jan 2024
Patchscopes: A Unifying Framework for Inspecting Hidden Representations
  of Language Models
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
Asma Ghandeharioun
Avi Caciularu
Adam Pearce
Lucas Dixon
Mor Geva
53
97
0
11 Jan 2024
A Comprehensive Survey of Hallucination Mitigation Techniques in Large
  Language Models
A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
S.M. Towhidul Islam Tonmoy
S. M. M. Zaman
Vinija Jain
Anku Rani
Vipula Rawte
Aman Chadha
Amitava Das
HILM
68
193
0
02 Jan 2024
Can large language models provide useful feedback on research papers? A
  large-scale empirical analysis
Can large language models provide useful feedback on research papers? A large-scale empirical analysis
Weixin Liang
Yuhui Zhang
Hancheng Cao
Binglu Wang
Daisy Ding
...
Siyu He
D. Smith
Yian Yin
Daniel A. McFarland
James Y. Zou
ALM
LM&MA
42
136
0
03 Oct 2023
Hypothesis Search: Inductive Reasoning with Language Models
Hypothesis Search: Inductive Reasoning with Language Models
Ruocheng Wang
E. Zelikman
Gabriel Poesia
Yewen Pu
Nick Haber
Noah D. Goodman
ReLM
LRM
66
105
0
11 Sep 2023
Large language models in medicine: the potentials and pitfalls
Large language models in medicine: the potentials and pitfalls
J. Omiye
Haiwen Gui
Shawheen J. Rezaei
James Zou
Roxana Daneshjou
LM&MA
55
70
0
31 Aug 2023
Do Models Explain Themselves? Counterfactual Simulatability of Natural
  Language Explanations
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations
Yanda Chen
Ruiqi Zhong
Narutatsu Ri
Chen Zhao
He He
Jacob Steinhardt
Zhou Yu
Kathleen McKeown
LRM
41
49
0
17 Jul 2023
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of
  LLMs by Validating Low-Confidence Generation
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation
Neeraj Varshney
Wenlin Yao
Hongming Zhang
Jianshu Chen
Dong Yu
HILM
54
167
0
08 Jul 2023
Faith and Fate: Limits of Transformers on Compositionality
Faith and Fate: Limits of Transformers on Compositionality
Nouha Dziri
Ximing Lu
Melanie Sclar
Xiang Lorraine Li
Liwei Jian
...
Sean Welleck
Xiang Ren
Allyson Ettinger
Zaïd Harchaoui
Yejin Choi
ReLM
LRM
50
358
0
29 May 2023
Self-contradictory Hallucinations of Large Language Models: Evaluation,
  Detection and Mitigation
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
Niels Mündler
Jingxuan He
Slobodan Jenko
Martin Vechev
HILM
31
111
0
25 May 2023
Explaining black box text modules in natural language with language
  models
Explaining black box text modules in natural language with language models
Chandan Singh
Aliyah R. Hsu
Richard Antonello
Shailee Jain
Alexander G. Huth
Bin Yu
Jianfeng Gao
MILM
41
51
0
17 May 2023
Causal Reasoning and Large Language Models: Opening a New Frontier for
  Causality
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
Emre Kıcıman
Robert Osazuwa Ness
Amit Sharma
Chenhao Tan
LRM
ELM
54
269
0
28 Apr 2023
Structured prompt interrogation and recursive extraction of semantics
  (SPIRES): A method for populating knowledge bases using zero-shot learning
Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning
J. H. Caufield
Harshad B. Hegde
Vincent Emonet
N. Harris
marcin p. joachimiak
...
Sierra A T Moxon
Justin P Reese
M. Haendel
Peter N. Robinson
Christopher J. Mungall
46
82
0
05 Apr 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
101
13,788
0
15 Mar 2023
GFlowNets for AI-Driven Scientific Discovery
GFlowNets for AI-Driven Scientific Discovery
Moksh Jain
T. Deleu
Jason S. Hartford
Cheng-Hao Liu
Alex Hernandez-Garcia
Yoshua Bengio
AI4CE
43
50
0
01 Feb 2023
RARR: Researching and Revising What Language Models Say, Using Language
  Models
RARR: Researching and Revising What Language Models Say, Using Language Models
Luyu Gao
Zhuyun Dai
Panupong Pasupat
Anthony Chen
Arun Tejasvi Chaganty
...
Vincent Zhao
Ni Lao
Hongrae Lee
Da-Cheng Juan
Kelvin Guu
HILM
KELM
68
257
0
17 Oct 2022
STaR: Bootstrapping Reasoning With Reasoning
STaR: Bootstrapping Reasoning With Reasoning
E. Zelikman
Yuhuai Wu
Jesse Mu
Noah D. Goodman
ReLM
LRM
60
459
0
28 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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
484
9,009
0
28 Jan 2022
Simulation Intelligence: Towards a New Generation of Scientific Methods
Simulation Intelligence: Towards a New Generation of Scientific Methods
Alexander Lavin
D. Krakauer
Hector Zenil
Justin Emile Gottschlich
Tim Mattson
...
A. Hanuka
Manuela Veloso
Samuel A. Assefa
Stephan Zheng
Avi Pfeffer
50
109
0
06 Dec 2021
Shaking the foundations: delusions in sequence models for interaction
  and control
Shaking the foundations: delusions in sequence models for interaction and control
Pedro A. Ortega
M. Kunesch
Grégoire Delétang
Tim Genewein
Jordi Grau-Moya
...
Yutian Chen
Scott E. Reed
Marcus Hutter
Nando de Freitas
Shane Legg
22
64
0
20 Oct 2021
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
ELM
ALM
98
5,328
0
07 Jul 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
358
28,659
0
26 Feb 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
279
4,873
0
24 Feb 2021
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular
  Property Prediction
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction
Seyone Chithrananda
Gabriel Grand
Bharath Ramsundar
AI4CE
41
395
0
19 Oct 2020
Technology Readiness Levels for AI & ML
Technology Readiness Levels for AI & ML
Alexander Lavin
Ajay Sharma
VLM
29
107
0
21 Jun 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
320
4,662
0
23 Jan 2020
Machine learning for molecular simulation
Machine learning for molecular simulation
Frank Noé
A. Tkatchenko
K. Müller
C. Clementi
AI4CE
45
652
0
07 Nov 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
497
2,639
0
03 Sep 2019
Attention is not not Explanation
Attention is not not Explanation
Sarah Wiegreffe
Yuval Pinter
XAI
AAML
FAtt
11
901
0
13 Aug 2019
Attention is not Explanation
Attention is not Explanation
Sarthak Jain
Byron C. Wallace
FAtt
68
1,307
0
26 Feb 2019
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