Growing Through Experience: Scaling Episodic Grounding in Language Models (2025.acl-long)
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| Challenge: | Language models (LMs) require effective episodic grounding to perform well at physical planning tasks due to their limited ability to learn from and apply past experiences. |
| Approach: | They propose a weak-to-strong episodic learning framework that integrates episodic memory into hierarchical representations and pre-trained knowledge to unlock larger LMs' potential for grounding. |
| Outcome: | The proposed framework outperforms top proprietary LMs by 3.45% across diverse planning and question-answering tasks. |
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| Challenge: | Existing language models lack grounding to real-world environments . a missing piece is the connection between LMs and the environment . |
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