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Katie Millican

2 accepted papers

2025

Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games

IJCAI 2025

We propose a self-play approach to generating strategies for playing in multi-player games, where strategies are represented as computer code. We use large language models (LLMs) to generate pieces of code to play in the game, which we refer to as generated bots. We engage the LLM generated bots in

Cited by 0SourcePDFScholar
2022

Improving Language Models by Retrieving from Trillions of Tokens

ICML 2022spotlight

We enhance auto-regressive language models by conditioning on document chunks retrieved from a large corpus, based on local similarity with preceding tokens. With a 2 trillion token database, our Retrieval-Enhanced Transformer (RETRO) obtains comparable performance to GPT-3 and Jurassic-1 on the Pil…