---
title: "Who cites NovelQA: Benchmarking — 29 citing papers"
description: "29 papers of the Elamur Research library cite «NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens», found…"
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---
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# Who cites «NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens»

29 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 «NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens»](https://md.research.elamur.ai/free/en/papers/wang-2024-novelqa-benchmarking-question-answering-documents/)

1. **[LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models](https://md.research.elamur.ai/free/en/papers/han-2024-lm-infinite-zero-shot-extreme/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chi Han, Qifan Wang, Hao Peng, et al.*2024 · 95 citations*
2. **[BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack](https://md.research.elamur.ai/free/en/papers/kuratov-2024-babilong-testing-limits-llms-long/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yuri Kuratov, Aydar Bulatov, Petr Anokhin, et al.*2024 · 88 citations*
3. [**AI Agents That Matter arXiv:2407.01502**Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, et al.*2024 · 55 citations*](https://md.research.elamur.ai/free/en/papers/kapoor-2024-ai-agents-that-matter/)
4. **[Logic Haystacks: Probing LLMs' Long-Context Logical Reasoning (Without Easily Identifiable Unrelated Padding)](https://md.research.elamur.ai/free/en/papers/sileo-2026-logic-haystacks-probing-llms-long/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Damien Sileo*2026 · 1 citation*
5. **[Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression](https://md.research.elamur.ai/free/en/papers/zhao-2026-question-tells-you-where-answer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liang Zhao, Xiaocheng Feng, Weihong Zhong, et al.*2026*

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

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