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Fine-tuning LLMs can kill their in-context learning abilities, but this work identifies a simple fix: only update the value matrix.
Language agents can now navigate complex, constrained environments with significantly improved success rates thanks to a new framework that combines multi-plan aggregation with constrained decoding and adaptive re-planning.
