Beyond-RAG: Question Identification and Answer Generation in Real-Time Conversations

arXiv:2410.10136 · cs.CL, cs.AI · Submitted 2024-10-14 · Read on arXiv

cs.CL, cs.AI

Submitted: 2024-10-14

Updated: 2026-09-01

Terminology

• RAG — 52× in this paper · explained in 3 episodes
• Accuracy — 10× in this paper · explained in 1 episode
• Arizona State University — 2× in this paper
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Personalization — 2× in this paper · explained in 2 episodes
• Retrieval Augmented Generation (RAG) — 2× in this paper · explained in 4 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Natural Language Processing — 1× in this paper
• Redundancy — 1× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation
• RAG based Question-Answering for Contextual Response Prediction System

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