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EVOKE: Eliciting World Knowledge in Agents for Transferable Decision-Making
LLM agents struggle with generalization to new environments. EVOKE is a post-training method that elicits an agent's pretrained world knowledge by supervising action preferences under diverse goals at fixed states, improving transferability without explicit world model training.
Hugging Face Daily Papersarxiv.org1 minpaper
