Can Agents Price a Reaction? Evaluating LLMs on Chemical Cost Reasoning
cs.AI
Submitted: 2026-05-08
Updated: 2026-10-09
Terminology
Sources
- GPT-4 Technical Report
- Qwen Technical Report
- ChemCrow: Augmenting large-language models with chemistry tools
- MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
- SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
- Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations
- DeepSeek-V3 Technical Report
- Evaluating Large Language Models in Scientific Discovery
- Gemini: A Family of Highly Capable Multimodal Models
- Kimi-VL Technical Report
- SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
- CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning
- ReAct: Synergizing Reasoning and Acting in Language Models
- LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset
- ChemLLM: A Chemical Large Language Model
- WebArena: A Realistic Web Environment for Building Autonomous Agents
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