@inproceedings{sivaprasad-etal-2026-rag,
title = "{RAG} as a collapsed {NLG} pipeline",
author = "Sivaprasad, Adarsa and
Sundararajan, Barkavi and
Howcroft, David M.",
editor = "Mahamood, Saad and
Howcroft, David M. and
van Deemter, Kees and
Balloccu, Simone and
Sivaprasad, Adarsa and
Sundararajan, Barkavi and
Bugar{\'i}n Diz, Alberto and
Alonso-Moral, Jose Mar{\'i}a",
booktitle = "Proceedings of the 1st Symposium on Natural Language Generation Evaluations",
month = jun,
year = "2026",
address = "Aberdeen, United Kingdom",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.retroeval-main.5/",
pages = "33--38",
ISBN = "979-8-89176-436-1",
abstract = "The NLG pipeline of Reiter and Dale has long served as the foundational framework for data-to-text system design and evaluation. However its relationship to modern generative architec- tures remains underexplored. In this conceptual analysis, we argue that Retrieval-Augmented Generation (RAG) constitutes a collapsed and partially reconstructed instantiation of the classical NLG pipeline, using it to identify failure modes of RAG around context faithfulness and retrieval non-determinism."
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<abstract>The NLG pipeline of Reiter and Dale has long served as the foundational framework for data-to-text system design and evaluation. However its relationship to modern generative architec- tures remains underexplored. In this conceptual analysis, we argue that Retrieval-Augmented Generation (RAG) constitutes a collapsed and partially reconstructed instantiation of the classical NLG pipeline, using it to identify failure modes of RAG around context faithfulness and retrieval non-determinism.</abstract>
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%0 Conference Proceedings
%T RAG as a collapsed NLG pipeline
%A Sivaprasad, Adarsa
%A Sundararajan, Barkavi
%A Howcroft, David M.
%Y Mahamood, Saad
%Y Howcroft, David M.
%Y van Deemter, Kees
%Y Balloccu, Simone
%Y Sivaprasad, Adarsa
%Y Sundararajan, Barkavi
%Y Bugarín Diz, Alberto
%Y Alonso-Moral, Jose María
%S Proceedings of the 1st Symposium on Natural Language Generation Evaluations
%D 2026
%8 June
%I Association for Computational Linguistics
%C Aberdeen, United Kingdom
%@ 979-8-89176-436-1
%F sivaprasad-etal-2026-rag
%X The NLG pipeline of Reiter and Dale has long served as the foundational framework for data-to-text system design and evaluation. However its relationship to modern generative architec- tures remains underexplored. In this conceptual analysis, we argue that Retrieval-Augmented Generation (RAG) constitutes a collapsed and partially reconstructed instantiation of the classical NLG pipeline, using it to identify failure modes of RAG around context faithfulness and retrieval non-determinism.
%U https://aclanthology.org/2026.retroeval-main.5/
%P 33-38
Markdown (Informal)
[RAG as a collapsed NLG pipeline](https://aclanthology.org/2026.retroeval-main.5/) (Sivaprasad et al., RetroEval 2026)
ACL
- Adarsa Sivaprasad, Barkavi Sundararajan, and David M. Howcroft. 2026. RAG as a collapsed NLG pipeline. In Proceedings of the 1st Symposium on Natural Language Generation Evaluations, pages 33–38, Aberdeen, United Kingdom. Association for Computational Linguistics.