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Found 4 papers, 1 papers with code
WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models
We present WinoQueer: a benchmark specifically designed to measure whether large language models (LLMs) encode biases that are harmful to the LGBTQ+ community.
Towards WinoQueer: Developing a Benchmark for Anti-Queer Bias in Large Language Models
This paper presents exploratory work on whether and to what extent biases against queer and trans people are encoded in large language models (LLMs) such as BERT.
Tracking e-cigarette warning label compliance on Instagram with deep learning
We conclude that deep learning models can effectively identify vaping posts on Instagram and track compliance with FDA warning label requirements.
Multi-Issue Bargaining With Deep Reinforcement Learning
Negotiation is a process where agents aim to work through disputes and maximize their surplus.
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