Search Results for author: Samuel Gehman

Found 2 papers, 1 papers with code

PolygloToxicityPrompts: Multilingual Evaluation of Neural Toxic Degeneration in Large Language Models

no code implementations15 May 2024 Devansh Jain, Priyanshu Kumar, Samuel Gehman, Xuhui Zhou, Thomas Hartvigsen, Maarten Sap

Recent advances in large language models (LLMs) have led to their extensive global deployment, and ensuring their safety calls for comprehensive and multilingual toxicity evaluations.

Benchmarking

RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

2 code implementations Findings of the Association for Computational Linguistics 2020 Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith

We investigate the extent to which pretrained LMs can be prompted to generate toxic language, and the effectiveness of controllable text generation algorithms at preventing such toxic degeneration.

Sentence Text Generation

Cannot find the paper you are looking for? You can Submit a new open access paper.