Research · BAIR Berkeley ·
Teaching LLMs to Update Beliefs for Efficient Long-Horizon Interaction
BAIR Berkeley introduces ABBEL, a framework for managing long-horizon LLM interactions with natural-language belief states instead of full conversation histories. It supervises and grades each belief state to improve the quality of compressed context over recursive summarization.