REVA: Reusable Evidence View Aggregation for Context-Efficient RAG Serving

arXiv:2609.11209 · cs.LG, cs.CL, cs.IR · Submitted 2026-09-10 · Read on arXiv

cs.LG, cs.CL, cs.IR

Submitted: 2026-09-10

Updated: 2026-09-10

Comments: Author's accepted manuscript. Accepted for publication in the 2026 IEEE International Conference on Data Mining (ICDM)

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• RAG — 4× in this paper · explained in 3 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Reusable Evidence View Aggregation — 2× in this paper
• Benchmark — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Trace — 1× in this paper · explained in 2 episodes

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks