---
title: "Who cites How Hard is this Test Set? NLI — 3 citing papers"
description: "3 papers of the Elamur Research library cite «How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/cosma-2024-how-hard-is-this-test/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [How Hard is this Test Set? NLI Characterization…](https://md.research.elamur.ai/free/en/papers/cosma-2024-how-hard-is-this-test/) / cited by

# Who cites «How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics»

3 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics»](https://md.research.elamur.ai/free/en/papers/cosma-2024-how-hard-is-this-test/)

1. **[FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking](https://md.research.elamur.ai/free/en/papers/magomere-2025-finnli-novel-dataset-multi-genre/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jabez Magomere, Elena Kochkina, Samuel Mensah, et al.*2025 · 3 citations*
2. **[Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection](https://md.research.elamur.ai/free/en/papers/stacey-2026-improving-ood-performance-closed-source/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Joe Stacey, Lisa Alazraki, Aran Ubhi, et al.*2026 · 1 citation*

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/cosma-2024-how-hard-is-this-test/) — How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics