Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2505.13259
Cited By
From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery
19 May 2025
Tianshi Zheng
Zheye Deng
Hong Ting Tsang
Weiqi Wang
Jiaxin Bai
Zihao Wang
Yangqiu Song
LLMAG
LM&Ro
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery"
23 / 23 papers shown
Title
Science Hierarchography: Hierarchical Organization of Science Literature
Muhan Gao
Jash Shah
Weiqi Wang
Daniel Khashabi
146
1
0
18 Apr 2025
Can LLMs Generate Tabular Summaries of Science Papers? Rethinking the Evaluation Protocol
Weiqi Wang
Jiefu Ou
Yangqiu Song
Benjamin Van Durme
Daniel Khashabi
LMTD
125
2
0
14 Apr 2025
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
Yutaro Yamada
R. T. Lange
Cong Lu
Shengran Hu
Chris Xiaoxuan Lu
Jakob Foerster
Jeff Clune
David Ha
111
24
0
10 Apr 2025
Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs
Yu-Zhe Shi
Mingchen Liu
Fanxu Meng
Qiao Xu
Zhangqian Bi
Kun He
Lecheng Ruan
Qining Wang
95
2
0
04 Apr 2025
Advancing AI-Scientist Understanding: Making LLM Think Like a Physicist with Interpretable Reasoning
Yinggan Xu
Hana Kimlee
Yijia Xiao
Di Luo
AI4CE
LRM
72
2
0
02 Apr 2025
SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers
Yanzheng Xiang
Hanqi Yan
Shuyin Ouyang
Lin Gui
Yulan He
133
4
0
31 Mar 2025
CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers?
Jiefu Ou
William Gantt Walden
Kate Sanders
Zhengping Jiang
Kaiser Sun
...
Weiqi Wang
Chandler May
Hannah Recknor
Daniel Khashabi
Benjamin Van Durme
72
1
0
27 Mar 2025
ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition
Yong Liu
Zonglin Yang
Tong Xie
Jinjie Ni
Ben Gao
Yuezun Li
Shixiang Tang
Wanli Ouyang
Min Zhang
Dongzhan Zhou
113
11
0
27 Mar 2025
Iterative Hypothesis Generation for Scientific Discovery with Monte Carlo Nash Equilibrium Self-Refining Trees
Gollam Rabby
Diyana Muhammed
Prasenjit Mitra
Sören Auer
79
2
0
25 Mar 2025
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation
Peter Alexander Jansen
Oyvind Tafjord
Marissa Radensky
Pao Siangliulue
Tom Hope
Bhavana Dalvi Mishra
Bodhisattwa Prasad Majumder
Daniel S. Weld
Peter Clark
79
7
0
20 Mar 2025
GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation
Tao Feng
Yihang Sun
Jiaxuan You
161
1
0
16 Mar 2025
Can Large Language Models Help Experimental Design for Causal Discovery?
Junyi Li
Yongqiang Chen
Chenxi Liu
Qianyi Cai
Tongliang Liu
Bo Han
Kun Zhang
Hui Xiong
CML
95
2
0
03 Mar 2025
IMPROVE: Iterative Model Pipeline Refinement and Optimization Leveraging LLM Experts
Eric Xue
Zeyi Huang
Zeyi Huang
Haohan Wang
Yong Jae Lee
Haohan Wang
154
1
0
25 Feb 2025
Auto-Bench: An Automated Benchmark for Scientific Discovery in LLMs
Tingting Chen
Srinivas Anumasa
Beibei Lin
Vedant Shah
Anirudh Goyal
Dianbo Liu
LLMAG
131
2
0
24 Feb 2025
Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?
Yoshua Bengio
Michael K. Cohen
Damiano Fornasiere
J. Ghosn
Pietro Greiner
...
Jesse Richardson
Oliver E. Richardson
Marc-Antoine Rondeau
P. St-Charles
David Williams-King
108
18
0
21 Feb 2025
AIDE: AI-Driven Exploration in the Space of Code
Zhengyao Jiang
Dominik Schmidt
Dhruv Srikanth
Dixing Xu
Ian Kaplan
Deniss Jacenko
Yuxiang Wu
144
16
0
18 Feb 2025
Gravity-Bench-v1: A Benchmark on Gravitational Physics Discovery for Agents
Nolan Koblischke
Hyunseok Jang
Kristen Menou
M. Ali-Dib
153
2
0
30 Jan 2025
Agent Laboratory: Using LLM Agents as Research Assistants
Samuel Schmidgall
Yusheng Su
Zihan Wang
Xingwu Sun
Jialian Wu
Xiaodong Yu
Jiang Liu
Michael Moor
Zicheng Liu
Emad Barsoum
LLMAG
96
60
2
08 Jan 2025
DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration
Sizhe Liu
Yaojie Lu
Siyu Chen
Xiyang Hu
Jieyu Zhao
Tianfan Fu
Yue Zhao
LLMAG
195
14
0
24 Nov 2024
BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks
Shubham Gandhi
Manasi Patwardhan
Lovekesh Vig
Gautam M. Shroff
LLMAG
132
1
0
12 Nov 2024
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback
Fatemeh Pesaran Zadeh
Juyeon Kim
Jin-Hwa Kim
Gunhee Kim
ALM
126
5
0
05 Oct 2024
ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning
Renqiu Xia
Bo Zhang
Hancheng Ye
Xiangchao Yan
Qi Liu
...
Min Dou
Botian Shi
Junchi Yan
Junchi Yan
Yu Qiao
LRM
182
68
0
19 Feb 2024
LitLLM: A Toolkit for Scientific Literature Review
Shubham Agarwal
I. Laradji
Laurent Charlin
Christopher Pal
Krishnamurthy DJ Dvijotham
Jason Stanley
Laurent Charlin
Christopher Pal
100
33
0
02 Feb 2024
1