Katherine Lee
4 papers · Latest:
Gemma: Open Models Based on Gemini Research and Technology
Gemma is a family of lightweight, open language models that achieve strong performance and safety on academic benchmarks, built using Gemini research and technology.
Gemini: A Family of Highly Capable Multimodal Models
Gemini is a new family of multimodal AI models excelling in image, audio, video, and text understanding, achieving state-of-the-art results across numerous benchmarks including human-expert level on MMLU.
PaLM: Scaling Language Modeling with Pathways
PaLM is a 540-billion parameter Transformer language model that achieves state-of-the-art few-shot learning performance across diverse benchmarks, demonstrating significant benefits from scaling.
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
This paper introduces a unified text-to-text framework for transfer learning in NLP, achieving state-of-the-art results across diverse language tasks by systematically exploring pre-training and fine-tuning strategies.
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