MIT Researchers Introduce DISCIPL: A Self-Steering Framework Using Planner and Follower Language Models for Efficient Constrained Generation and Reasoning
Language models predict sequences of words based on vast datasets and are increasingly expected to reason and perform complex linguistic manipulations. Yet, despite their growing sophistication, even powerful models often falter when assigned problems that […]
