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Saghar Hosseini

3 accepted papers

2023

ROBBIE: Robust Bias Evaluation of Large Generative Language Models

EMNLP 2023long main

As generative large language models (LLMs) grow more performant and prevalent, we must develop comprehensive enough tools to measure and improve their fairness. Different prompt-based datasets can be used to measure social bias across multiple text domains and demographic axes, meaning that testing…

Cited by 0SourceScholar
2021

Few-Shot Learning Evaluation in Natural Language Understanding

NeurIPS 2021poster

Most recent progress in natural language understanding (NLU) has been driven, in part, by benchmarks such as GLUE, SuperGLUE, SQuAD, etc. In fact, many NLU models have now matched or exceeded "human-level" performance on many tasks in these benchmarks. Most of these benchmarks, however, give models…

Cited by 3SourcecodeScholar
2021

Say ‘YES’ to Positivity: Detecting Toxic Language in Workplace Communications

EMNLP 2021finding

Workplace communication (e.g. email, chat, etc.) is a central part of enterprise productivity. Healthy conversations are crucial for creating an inclusive environment and maintaining harmony in an organization. Toxic communications at the workplace can negatively impact overall job satisfaction and…

Cited by 26SourcePDFScholar