St{\'e}phane Aroca-Ouellette

ReSeeding Latent States for Sequential Language Understanding

We introduce Refeeding State Embeddings aligned using Environmental Data (ReSEED), a novel method for grounding language in environmental data. While large language models (LLMs) excel at many tasks, they continue to struggle with multi-step sequential reasoning. ReSEED addresses this by producing l