Who cites “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks”, and what for

A real example: what you get

6 new papers citing “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks”

• What each one does with it: questions it, supports it, builds on it, uses it or mentions it
• The sentences that cite it, read in the citing paper
• Self-citations apart, and an email at once when a paper questions it
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The first results

1. DeepInflation: An AI Agent for Research and Model Discovery of Inflation uses it DeepInflation uses RAG to ground its agent in domain knowledge from the Encyclopædia Inflationaris.
2. Beyond the Parameter Monolith: Reconstructive Memories, Executable Skills, and Residual Assembly for Language Models mentions it It cites RAG among approaches demonstrating the usefulness of external storage for language models.
3. FICO: Find-Then-Compute for Corpus-Level Spreadsheet Question Answering mentions it (uncertain) It describes RAG as effective when an answer is stated in a retrievable passage.
4. IREA: Intermediate Representation-based Embedding Alignment for Normative RAG mentions it It cites RAG as an approach that uses external knowledge to improve response reliability.
5. StrucChunk: Structure-Aware Retrieval for Legal Document RAG mentions it It credits the paper with formalizing RAG through a pretrained sequence-to-sequence model combined with dense passage retrieval.
6. ColaBench: Evaluating Memory-Guided Knowledge Acquisition in Personal Agents mentions it It cites RAG as a way to generate answers using external documents.

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