LEAP & LEAN: Look-ahead Planning and Agile Navigation for LLM Agents (2025.acl-industry)
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| Challenge: | Existing approaches to train large-scale models with extensive datasets are limited by their inadequate planning capabilities compared to humans. |
| Approach: | They propose a paradigm that enhances the performance of Large Language Models (LLMs) they use look-ahead planning to refine action selection and LEAN to streamline navigation through agile prompt construction. |
| Outcome: | The proposed framework outperforms agents trained via imitation learning, reinforcement learning, and reasoning-based approaches without any fine-tuning. |
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