ChemVTS-Bench: Evaluating Visual-Textual-Symbolic Reasoning of Multimodal Large Language Models in Chemistry

arXiv:2511.17909 · cs.AI · Submitted 2025-11-22 · Read on arXiv

cs.AI

Submitted: 2025-11-22

Updated: 2026-09-20

Comments: Incomplete work

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 31× in this paper · explained in 2 episodes
• Accuracy — 10× in this paper · explained in 1 episode
• Consistency — 10× in this paper · explained in 3 episodes
• Visual Recognition Error — 9× in this paper
• Logical Reasoning Error — 5× in this paper
• Numerical Computation Error — 5× in this paper
• Robustness — 5× in this paper · explained in 5 episodes
• Knowledge-based Error — 4× in this paper
• Core — 3× in this paper · explained in 2 episodes
• Failure Modes — 3× in this paper · explained in 3 episodes
• Symbolic Parsing Error — 3× in this paper
• Verification — 3× in this paper · explained in 2 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Multimodal Fusion — 2× in this paper · explained in 3 episodes
• Visual Grounding — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Edge AI — 1× in this paper · explained in 2 episodes
• Error Taxonomy — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes
• Tokenization — 1× in this paper · explained in 2 episodes

Sources

• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• ChemLLM: A Chemical Large Language Model
• MME-SCI: A Comprehensive and Challenging Science Benchmark for Multimodal Large Language Models
• Assessing the Chemical Intelligence of Large Language Models
• xGen-MM (BLIP-3): A Family of Open Large Multimodal Models
• A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
• Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables
• InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

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