DeepReinforce

ABBEL: Training LLMs to Update Beliefs for Efficient Long-term Interaction

ABBEL is a framework for training language models to update beliefs in the form of textual states, enabling efficient context compression during long-term interactions. The method uses belief grading through observation reconstruction, reducing the gap with full-context models in collaborative programming and other tasks.

Cursor Alibaba/Qwen