ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2502.02871
  4. Cited By
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning

5 February 2025
Yibo Yan
Shen Wang
Jiahao Huo
Jingheng Ye
Zhendong Chu
Xuming Hu
Philip S. Yu
Daniel Schwalbe-Koda
B. Selman
Qingsong Wen
    LRM
ArXiv (abs)PDFHTML

Papers citing "Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning"

18 / 168 papers shown
Title
Unifying Large Language Models and Knowledge Graphs: A Roadmap
Unifying Large Language Models and Knowledge Graphs: A RoadmapIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Shirui Pan
Linhao Luo
Yufei Wang
Chen Chen
Jiapu Wang
Xindong Wu
KELM
451
1,092
0
14 Jun 2023
Multimodal Explainable Artificial Intelligence: A Comprehensive Review
  of Methodological Advances and Future Research Directions
Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research DirectionsIEEE Access (IEEE Access), 2023
N. Rodis
Christos Sardianos
Panagiotis I. Radoglou-Grammatikis
Panagiotis G. Sarigiannidis
Iraklis Varlamis
Georgios Th. Papadopoulos
249
36
0
09 Jun 2023
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining
  Large Language Models
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language ModelsNeural Information Processing Systems (NeurIPS), 2023
Wenxuan Zhang
Sharifah Mahani Aljunied
Chang Gao
Yew Ken Chia
Lidong Bing
ELM
250
120
0
08 Jun 2023
Fine-Grained Human Feedback Gives Better Rewards for Language Model
  Training
Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingNeural Information Processing Systems (NeurIPS), 2023
Zeqiu Wu
Yushi Hu
Weijia Shi
Nouha Dziri
Alane Suhr
Prithviraj Ammanabrolu
Noah A. Smith
Mari Ostendorf
Hannaneh Hajishirzi
ALM
397
406
0
02 Jun 2023
What can Large Language Models do in chemistry? A comprehensive
  benchmark on eight tasks
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasksNeural Information Processing Systems (NeurIPS), 2023
Taicheng Guo
Kehan Guo
B. Nan
Zhengwen Liang
Zhichun Guo
Nitesh Chawla
Olaf Wiest
Xiangliang Zhang
ELM
442
206
0
27 May 2023
Scaling Data-Constrained Language Models
Scaling Data-Constrained Language ModelsNeural Information Processing Systems (NeurIPS), 2023
Niklas Muennighoff
Alexander M. Rush
Boaz Barak
Teven Le Scao
Aleksandra Piktus
Nouamane Tazi
S. Pyysalo
Thomas Wolf
Colin Raffel
ALM
537
314
0
25 May 2023
Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For
  Large Language Models
Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Daman Arora
H. Singh
Mausam
ELMLRM
364
72
0
24 May 2023
Reasoning with Language Model is Planning with World Model
Reasoning with Language Model is Planning with World ModelConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Shibo Hao
Yi Gu
Haodi Ma
Joshua Jiahua Hong
Zhen Wang
D. Wang
Zhiting Hu
ReLMLRMLLMAG
347
801
0
24 May 2023
TheoremQA: A Theorem-driven Question Answering dataset
TheoremQA: A Theorem-driven Question Answering datasetConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Wenhu Chen
Ming Yin
Max Ku
Pan Lu
Yixin Wan
Xueguang Ma
Jianyu Xu
Xinyi Wang
Tony Xia
AIMat
272
181
0
21 May 2023
T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Mixed Large
  Language Model Signals for Science Question Answering
T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Mixed Large Language Model Signals for Science Question AnsweringAAAI Conference on Artificial Intelligence (AAAI), 2023
Lei Wang
Yilang Hu
Jiabang He
Xingdong Xu
Ning Liu
Hui-juan Liu
Hengtao Shen
LRMMLLM
226
77
0
05 May 2023
DataComp: In search of the next generation of multimodal datasets
DataComp: In search of the next generation of multimodal datasetsNeural Information Processing Systems (NeurIPS), 2023
S. Gadre
Gabriel Ilharco
Alex Fang
J. Hayase
Georgios Smyrnis
...
A. Dimakis
J. Jitsev
Y. Carmon
Vaishaal Shankar
Ludwig Schmidt
VLM
529
566
0
27 Apr 2023
Chameleon: Plug-and-Play Compositional Reasoning with Large Language
  Models
Chameleon: Plug-and-Play Compositional Reasoning with Large Language ModelsNeural Information Processing Systems (NeurIPS), 2023
Pan Lu
Baolin Peng
Hao Cheng
Michel Galley
Kai-Wei Chang
Ying Nian Wu
Song-Chun Zhu
Jianfeng Gao
KELMMLLMLRM
269
405
0
19 Apr 2023
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models
Wanjun Zhong
Ruixiang Cui
Yiduo Guo
Yaobo Liang
Shuai Lu
Yanlin Wang
Amin Saied
Weizhu Chen
Nan Duan
ALMELM
338
702
0
13 Apr 2023
ChemCrow: Augmenting large-language models with chemistry tools
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
Scientists' Perspectives on the Potential for Generative AI in their
  Fields
Scientists' Perspectives on the Potential for Generative AI in their Fields
Meredith Ringel Morris
AI4CE
141
47
0
04 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
LLMAGMLLM
3.5K
20,141
0
15 Mar 2023
Large Language Models Can Be Easily Distracted by Irrelevant Context
Large Language Models Can Be Easily Distracted by Irrelevant ContextInternational Conference on Machine Learning (ICML), 2023
Freda Shi
Xinyun Chen
Kanishka Misra
Nathan Scales
David Dohan
Ed H. Chi
Nathanael Scharli
Denny Zhou
ReLMRALMLRM
548
782
0
31 Jan 2023
ClimaX: A foundation model for weather and climate
ClimaX: A foundation model for weather and climateInternational Conference on Machine Learning (ICML), 2023
Tung Nguyen
Johannes Brandstetter
Ashish Kapoor
Jayesh K. Gupta
Aditya Grover
AI4ClAI4CE
525
355
0
24 Jan 2023
Previous
1234