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Found 5 papers, 2 papers with code
Risk and Response in Large Language Models: Evaluating Key Threat Categories
This paper explores the pressing issue of risk assessment in Large Language Models (LLMs) as they become increasingly prevalent in various applications.
The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance
Large Language Models (LLMs) are regularly being used to label data across many domains and for myriad tasks.
"Im not Racist but...": Discovering Bias in the Internal Knowledge of Large Language Models
Large language models (LLMs) have garnered significant attention for their remarkable performance in a continuously expanding set of natural language processing tasks.
The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations
Our study highlights the importance of measuring the bias of LLMs in downstream applications to understand the potential for harm and inequitable outcomes.
Boosting Punctuation Restoration with Data Generation and Reinforcement Learning
Punctuation restoration is an important task in automatic speech recognition (ASR) which aim to restore the syntactic structure of generated ASR texts to improve readability.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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