SI² — SuperIntelligence for Science

ChemSafe / SafeChem

Chemical hazard assessment and evaluation: hybrid retrieval-augmented decision support and safety benchmarking.

Research question

How can hybrid retrieval support laboratory chemical hazard assessment?

Research approach

This project brings together chemical hazard decision support and evaluation. ChemSafe studies hybrid retrieval-augmented laboratory hazard assessment; SafeChem introduces a benchmark for multi-label chemical hazard prediction and LLM safety hallucination evaluation.

Research outputs & focus

  • Chemical hazard assessment and decision support
  • Multi-label chemical hazard benchmarking
  • LLM safety hallucination evaluation

Artifacts

People behind the project

Contributors.

Dr. Tirthankar Ghosal

Dr. Tirthankar Ghosal

Principal Investigator · Staff Scientist

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Dr. Sanjay Das

Dr. Sanjay Das

Postdoctoral Researcher · Lead R&D personnel

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Related publications

The research behind the tool.

JCDLPublished

ChemSafe: Hybrid Retrieval-Augmented Decision Support for Laboratory Chemical Hazard Assessment

Ran Elgedawy et al.

Citation

Ran Elgedawy et al. (2026). ChemSafe: Hybrid Retrieval-Augmented Decision Support for Laboratory Chemical Hazard Assessment. JCDL.

ChemRxivPreprint

SafeChem: A Benchmark Dataset for Multi-Label Chemical Hazard Prediction and LLM Safety Hallucination Evaluation

Ran Elgedawy et al.

Submitted to NeurIPS

Citation

Ran Elgedawy et al. (2026). SafeChem: A Benchmark Dataset for Multi-Label Chemical Hazard Prediction and LLM Safety Hallucination Evaluation. ChemRxiv.