undefined

Yasaman Razeghi

PhD student at UC Irvine focusing on NLP and large language models. Known for her research on the impact of pre-training term frequencies on few-shot reasoning.

Best podcasts with Yasaman Razeghi

Ranked by the Snipd community
undefined
Apr 7, 2022 • 56min

#73 - YASAMAN RAZEGHI & Prof. SAMEER SINGH - NLP benchmarks

Yasaman Razeghi, a PhD student at UC Irvine, discusses her groundbreaking research showing that large language models excel at reasoning tasks primarily due to dataset memorization. Prof. Sameer Singh, an expert in machine learning interpretability, shares insights on the perils of metric obsession in evaluating AI. They delve into the importance of understanding human-like reasoning in AI and advocate for nuanced metrics that truly assess model capabilities. Their engaging conversation shines a light on the future of model testing and explainability.