DIN-Retrieval boosts LLM reasoning via cross-domain transfer

DIN-Retrieval cracks the in-context learning bottleneck by proving LLMs can transfer logical structures across entirely different domains without needing expert demonstrations.

• –Bypasses the need for expensive, specialized datasets in fields like formal logic or legal analysis
• –Identifies domain-invariant neurons to effectively map reusable logical patterns across unseen domains
• –Makes in-context learning significantly more scalable and resilient to domain shifts