PreprintLicence not statedChemRxiv
Measuring chemical safety and refusal in language models
- 1Szilard Scientific LLC
Related
- Large language model-based screening of substances and their composition from safety data sheets for high-resolution chemical exposure assessment
- How Chemical Evidence Shapes Mechanistic Reasoning and Prediction by Large Language Models: Fine-Grained Inference in Nucleoside-Derived Supramolecular Gelation
- Scaling SMILES-Based Chemical Language Models for Therapeutic Peptide Engineering
- Auditing frozen chemical language model embeddings for drug-delivery screening: fingerprint baselines, random-initialization controls, and scaffold-memorization control tasks
- Lost in Chemical Space: Local Open-Source Large Language Models Display Model-Dependent Adherence to Reference Data in Molecular Generation
BibTeX
@misc{jogalekar2026measuring,
title = {{Measuring chemical safety and refusal in language models}},
author = {Ashutosh S. Jogalekar},
howpublished = {ChemRxiv},
year = {2026},
month = nov,
doi = {10.26434/chemrxiv.15011798/v1},
url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011798/v1},
}
RIS
TY - UNPB
TI - Measuring chemical safety and refusal in language models
AU - Ashutosh S. Jogalekar
PY - 2026
DA - 2026/11/06
PB - ChemRxiv
DO - 10.26434/chemrxiv.15011798/v1
UR - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15011798/v1
ER -