BITEM at the NTCIR-19 R2C2 Task: Predicting Confidence from Agentic RAG Pipeline Signals
cs.CL, cs.AI, cs.IR
Submitted: 2026-09-29
Updated: 2026-09-29
Project page: https://brev-rag-workshop.github.io/paper-02.pdf
Terminology
Sources
- DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
- Language Models (Mostly) Know What They Know
- Beyond Parallel Sampling: Diverse Query Initialization for Agentic Search
- Agentic Search in the Wild: Intents and Trajectory Dynamics from 14M+ Real Search Requests
- Passage Re-ranking with BERT
- Nomic Embed: Training a Reproducible Long Context Text Embedder
- VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous Verification
- Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Related papers
- Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
- Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
- Subliminal Steering: Stronger Encoding of Hidden Signals
- MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
- The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
- Untangling the Mechanisms of Misleading Context in Medical Question Answering