SciVerse: Unveiling the Knowledge Comprehension and Visual Reasoning of LMMs on Multi-modal Scientific Problems

The rapid advancement of Large Multi-modal Models (LMMs) has enabled their application in scientific problem-solving, yet their finegrained capabilities remain under-explored.In this paper, we introduce SCIVERSE, a multimodal scientific evaluation benchmark to thoroughly assess LMMs across 5,735 test instances in five distinct versions.We aim to investigate three key dimensions of LMMs: scientific knowledge comprehension, multi-modal content interpretation, and Chain-of-Thought (CoT) reasoning.To unveil whether LMMs possess sufficient scientific expertise, we first transform each problem into three versions containing different levels of knowledge required for solving, i.e., Knowledge-free, -lite, and -rich.Then, to explore how LMMs interpret multimodal scientific content, we annotate another two versions, i.e., Vision-rich and -only, marking more question information from texts to diagrams.Comparing the results of different versions, SCIVERSE systematically examines the professional knowledge stock and visual perception skills of LMMs in scientific domains.In addition, to rigorously assess CoT reasoning, we propose a new scientific CoT evaluation strategy, conducting a step-wise assessment on knowledge and logical errors in model outputs.Our extensive evaluation of different LMMs on SCIVERSE reveals critical limitations in their scientific proficiency and provides new insights into future developments.Project page: https://sciverse-cuhk.github.io.Knowledge-lite Knowledge-free Knowledge-rich The question involves Newton's laws of motion and Kinematic Equations.-Newton's 2nd Law: -Kinematic Equations: A 10-kg box slides down an inclined plane for 2.0 s.The coefficient of friction is 0.1.Calculate the force of friction on the box.A 10-kg box slides down an inclined plane for 2.0 s.The coefficient of friction is 0.1.Calculate the force of friction on the box.

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Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.findings-acl.1010
Citations
2
Primary Topic
Innovative Teaching and Learning Methods
Type
article
Field-Weighted Citation Impact
6.89

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article

SciVerse: Unveiling the Knowledge Comprehension and Visual Reasoning of LMMs on Multi-modal Scientific Problems

Pheng‐Ann Heng, Jialin Gao, Renrui Zhang, Hao Chen et al.
2 citations
Innovative Teaching and Learning Methods
6.89
article

SciVerse: Unveiling the Knowledge Comprehension and Visual Reasoning of LMMs on Multi-modal Scientific Problems

Pheng‐Ann Heng, Jialin Gao, Renrui Zhang, Hao Chen, Jiaze Wang, Dongzhi Jiang, Z. J. Guo
article en
2 citations

Abstract

The rapid advancement of Large Multi-modal Models (LMMs) has enabled their application in scientific problem-solving, yet their finegrained capabilities remain under-explored.In this paper, we introduce SCIVERSE, a multimodal scientific evaluation benchmark to thoroughly assess LMMs across 5,735 test instances in five distinct versions.We aim to investigate three key dimensions of LMMs: scientific knowledge comprehension, multi-modal content interpretation, and Chain-of-Thought (CoT) reasoning.To unveil whether LMMs possess sufficient scientific expertise, we first transform each problem into three versions containing different levels of knowledge required for solving, i.e., Knowledge-free, -lite, and -rich.Then, to explore how LMMs interpret multimodal scientific content, we annotate another two versions, i.e., Vision-rich and -only, marking more question information from texts to diagrams.Comparing the results of different versions, SCIVERSE systematically examines the professional knowledge stock and visual perception skills of LMMs in scientific domains.In addition, to rigorously assess CoT reasoning, we propose a new scientific CoT evaluation strategy, conducting a step-wise assessment on knowledge and logical errors in model outputs.Our extensive evaluation of different LMMs on SCIVERSE reveals critical limitations in their scientific proficiency and provides new insights into future developments.Project page: https://sciverse-cuhk.github.io.Knowledge-lite Knowledge-free Knowledge-rich The question involves Newton's laws of motion and Kinematic Equations.-Newton's 2nd Law: -Kinematic Equations: A 10-kg box slides down an inclined plane for 2.0 s.The coefficient of friction is 0.1.Calculate the force of friction on the box.A 10-kg box slides down an inclined plane for 2.0 s.The coefficient of friction is 0.1.Calculate the force of friction on the box.

Chinese University of Hong Kong (HK)
Chinese University of Hong Kong, Innovation and Technology Fund
Quality Education
Openalex Percentile: Top 4%
Innovative Teaching and Learning Methods
6.89
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