Natural Questions

Researchers introduced Task-Aware Prompt Rewriter (TAPR), a model that reformulates user prompts into task-optimized prompts to improve downstream LLM performance, trained via reinforcement learning w…

Researchers introduced RAGuard, a layered defense framework for retrieval-augmented generation (RAG) systems against data poisoning, achieving a 0.000% attack success rate in all defended configuratio…

Researchers propose CONCORD, an asynchronous sparse aggregation framework for device-cloud retrieval-augmented generation under document isolation, which improves throughput by up to 2.15x and reduces…