Split-conformal claim filtering raises the share of multi-hop RAG responses whose retained claims are fully supported to 95.80%-97.20% at a 95% target, up from 55.60%-76.03% without filtering, accordi…
A developer has released EmbedFlow, an open-source tool that enables zero-downtime upgrades of embedding models by retrieving top-K documents with the old model and reranking them with the new model, …
A new arXiv preprint (2608.19535v1) proposes telemetry-informed adaptive compression for retrieval-augmented generation (RAG) on edge devices, based on experiments on the NVIDIA Jetson AGX Thor with L…
A new paper on arXiv (2608.08237v1) proposes SAGE, a learned SLO-aware adaptive retrieval policy for production RAG systems that dynamically selects the number of passages per query. On Natural Questi…
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…