Retrieval-Augmented Reasoning Task

A Retrieval-Augmented Reasoning Task is a reasoning task that integrates external knowledge retrieval processes with multi-step inference processes for complex question answering tasks.

• AKA: RAR Task, Retrieval-Based Reasoning, Knowledge-Augmented Reasoning, RAG Reasoning Task.
• Context:
  • It can typically enhance Lean Language Models with knowledge base retrieval mechanisms.
  • It can typically support Multi-Hop Question Answering Tasks through iterative retrieval processes.
  • It can often improve Chain-of-Thought Reasoning Tasks with retrieved evidence documents.
  • It can often enable Complex Reasoning Tasks without large model parameters.
  • It can utilize Dense Passage Retrieval Algorithms for relevant document selection.
  • It can employ Reasoning Chain Constructions with retrieved knowledge integration.
  • It can integrate Forward-Looking Active Retrieval Augmented Generation Algorithms for adaptive retrieval strategys.
  • It can range from being a Single-Step Retrieval-Augmented Reasoning Task to being a Multi-Step Retrieval-Augmented Reasoning Task, depending on its reasoning complexity.
  • It can range from being a Factual Retrieval-Augmented Reasoning Task to being a Inferential Retrieval-Augmented Reasoning Task, depending on its reasoning type.
  • It can range from being a Domain-General Retrieval-Augmented Reasoning Task to being a Domain-Specific Retrieval-Augmented Reasoning Task, depending on its knowledge scope.
  • It can range from being a Static Retrieval-Augmented Reasoning Task to being a Adaptive Retrieval-Augmented Reasoning Task, depending on its retrieval strategy.
  • ...
• Example(s):
  • Multi-Hop QA with RAG, such as HotpotQA with retrieval augmentation.
  • Legal Document Reasoning Tasks with case law retrieval.
  • Medical Diagnosis Reasoning Tasks with medical literature retrieval.
  • Scientific Hypothesis Generation Tasks with paper retrieval.
  • Code Generation Reasoning Tasks with documentation retrieval.
  • Mathematical Proof Construction Tasks with theorem retrieval.
  • ...
• Counter-Example(s):
  • Pure Generative Reasoning Task, which uses only parametric memory.
  • Simple Retrieval Task, which lacks reasoning components.
  • Closed-Book Question Answering Task, which prohibits external knowledge.
  • Memory-Based Reasoning Task, which uses only internal representations.
• See: Retrieval-Augmented Generation Technique, Lean Language Model, Multi-Hop Reasoning Task, Chain-of-Thought Prompting, Knowledge-Intensive NLP Task, Dense Passage Retrieval, FLARE Algorithm, Recursive Retrieval Process, Augmented Inference Task, Knowledge-Enhanced Fine-Tuning Method, Domain-Specific Question Answering Task.

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