BITEM at the NTCIR-19 R2C2 Task: Predicting Confidence from Agentic RAG Pipeline Signals

29 Sept 2026Reported by arXiv24

BITEM at the NTCIR-19 R2C2 Task: Predicting Confidence from Agentic RAG Pipeline Signals. The story centres on RAG. Reported by arXiv. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.

Written by Bharat Hunt from the headline and the coverage below. The original reporting is the source of truth.

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RAGtopic

Reported by arXiv

First seen 29 sept 2026

arXivBITEM at the NTCIR-19 R2C2 Task: Predicting Confidence from Agentic RAG Pipeline Signals29 Sept 2026Julien Knafou

AI Hardware24

SANTA++: Sampling Attention through Representative Keys

SANTA++: Sampling Attention through Representative Keys. It centres on RAG, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Hardware — the section covering chips, accelerators, data centres, on-device inference and supply. Open the original report for the full detail.

arXiv28 Sept 2026

AI Research23

RAG-PIBench: A Leakage-Aware Benchmark for Prompt-Injection Detection in Trustworthy RAG Systems

RAG-PIBench: A Leakage-Aware Benchmark for Prompt-Injection Detection in Trustworthy RAG Systems. It centres on RAG, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Research and AI Models — the section covering papers, benchmarks, evaluations, interpretability and safety results.

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BITEM at the NTCIR-19 R2C2 Task: Predicting Confidence from Agentic RAG Pipeline Signals

Companies, models and people in this story

Reported by arXiv

SANTA++: Sampling Attention through Representative Keys

RAG-PIBench: A Leakage-Aware Benchmark for Prompt-Injection Detection in Trustworthy RAG Systems

UNREAL: Unifying Retrieval and Long-Context with a Single Model

Agentic AutoRAG: RAG Pipeline Optimization through Reasoning-Driven Agents

Companies, models and people in this story

Reported by arXiv

Related AI coverage

SANTA++: Sampling Attention through Representative Keys

RAG-PIBench: A Leakage-Aware Benchmark for Prompt-Injection Detection in Trustworthy RAG Systems

UNREAL: Unifying Retrieval and Long-Context with a Single Model

Agentic AutoRAG: RAG Pipeline Optimization through Reasoning-Driven Agents