·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
GradientStabilizer:Fix the Norm, Not the Gradient2h◆Probability-Entropy Calibration: An Elastic Indicator for Adaptive Fine-tuning2h◆MathlibLemma: Folklore Lemma Generation and Benchmark for Formal Mathematics2h◆Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility2h◆Architecture-driven Shift: towards a lightweight selector for capturing the trends of logit shift2h◆LNN-PINN: A Unified Physics-Only Training Framework with Liquid Residual Blocks2h◆AssertLLM2: A Comprehensive LLM Benchmark for Assertion Generation from Design Specifications2h◆HEAL: Resilient and Self-* Hub-based Learning2h◆ViCA: Efficient Multimodal LLMs with Vision-Only Cross-Attention2h◆Fitting Unknown Number of Hyperplanes with Manifold Optimization2h◆Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation2h◆Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory2h◆SPRINT: Efficient Spectral Priors for Humanoid Athletic Sprints2h◆Balancing Fidelity and Diversity in Diffusion Models via Symmetric Attention Decomposition: Hopfield Perspective2h◆Resource-Constrained Affect Modelling via Variance Regularisation Pruning2h◆BIRDS: Characterizing and Understanding Biodiversity Impact of Large Language Model Serving2h◆Energy-Structured Low-Rank Adaptation for Continual Learning2h◆Conformal Prediction for Hierarchical Data2h◆HARP: Measuring Harm Amplification in Multi-Agent LLM Systems2h◆Grounded Cache Routing for Retrieval-Augmented Generation: When Is It Safe to Reuse an Answer?2h◆GradientStabilizer:Fix the Norm, Not the Gradient2h◆Probability-Entropy Calibration: An Elastic Indicator for Adaptive Fine-tuning2h◆MathlibLemma: Folklore Lemma Generation and Benchmark for Formal Mathematics2h◆Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility2h◆Architecture-driven Shift: towards a lightweight selector for capturing the trends of logit shift2h◆LNN-PINN: A Unified Physics-Only Training Framework with Liquid Residual Blocks2h◆AssertLLM2: A Comprehensive LLM Benchmark for Assertion Generation from Design Specifications2h◆HEAL: Resilient and Self-* Hub-based Learning2h◆ViCA: Efficient Multimodal LLMs with Vision-Only Cross-Attention2h◆Fitting Unknown Number of Hyperplanes with Manifold Optimization2h◆Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation2h◆Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory2h◆SPRINT: Efficient Spectral Priors for Humanoid Athletic Sprints2h◆Balancing Fidelity and Diversity in Diffusion Models via Symmetric Attention Decomposition: Hopfield Perspective2h◆Resource-Constrained Affect Modelling via Variance Regularisation Pruning2h◆BIRDS: Characterizing and Understanding Biodiversity Impact of Large Language Model Serving2h◆Energy-Structured Low-Rank Adaptation for Continual Learning2h◆Conformal Prediction for Hierarchical Data2h◆HARP: Measuring Harm Amplification in Multi-Agent LLM Systems2h◆Grounded Cache Routing for Retrieval-Augmented Generation: When Is It Safe to Reuse an Answer?2h◆
News/BalanceRAG: Joint Risk Calibration for Cascaded Retrieval-Augmented Generation
arxiv
PublishedMay 21, 2026 at 4:00 AM

BalanceRAG: Joint Risk Calibration for Cascaded Retrieval-Augmented Generation

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2605.20084v1 Announce Type: cross Abstract: Large language models (LLMs) can enhance factuality via retrieval-augmented generation (RAG), but applying RAG to every query is unnecessary when the model-only answer is reliable. This motivates cascaded RAG: each query is first handled by an LLM-on

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivGradientStabilizer:Fix the Norm, Not the Gradient2harxivProbability-Entropy Calibration: An Elastic Indicator for Adaptive Fine-tuning2harxivMathlibLemma: Folklore Lemma Generation and Benchmark for Formal Mathematics2harxivComparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility2h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews