---
title: "Who cites CLAPnq: Cohesive Long-form — 15 citing papers"
description: "15 papers of the Elamur Research library cite «CLAPnq: Cohesive Long-form Answers from Passages in Natural Questions for RAG…"
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---
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# Who cites «CLAPnq: Cohesive Long-form Answers from Passages in Natural Questions for RAG systems»

15 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «CLAPnq: Cohesive Long-form Answers from Passages in Natural Questions for RAG systems»](https://md.research.elamur.ai/free/en/papers/rosenthal-2025-clapnq-cohesive-long-form-answers/)

1. [**A Comprehensive Survey on Long Context Language Modeling arXiv:2503.17407**Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.*2025 · 64 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-comprehensive-survey-long-context-language/)
2. **[MTRAG-UN: A Benchmark for Open Challenges in Multi-Turn RAG Conversations](https://md.research.elamur.ai/free/en/papers/rosenthal-2026-mtrag-un-benchmark-open-challenges/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sara Rosenthal, Yannis Katsis, Vraj Shah, et al.*2026 · 27 citations*
3. **[MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation Systems](https://md.research.elamur.ai/free/en/papers/thakur-2025-mirage-bench-automatic-multilingual-benchmark/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Nandan Thakur, Suleman Kazi, Ge Luo, et al.*2025 · 15 citations*
4. **[Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization](https://md.research.elamur.ai/free/en/papers/huang-2025-improving-contextual-faithfulness-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lei Huang, Xiaocheng Feng, Weitao Ma, et al.*2025 · 11 citations*
5. **[RAGVUE: A Diagnostic View for Explainable and Automated Evaluation of Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/murugaraj-2026-ragvue-diagnostic-view-explainable-automated/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Keerthana Murugaraj, Salima Lamsiyah, Martin Theobald*2026 · 1 citation*

10 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/rosenthal-2025-clapnq-cohesive-long-form-answers/) — CLAPnq: Cohesive Long-form Answers from Passages in Natural Questions for RAG systems