---
title: "Who cites Mind the instructions: a holistic — 24 citing papers"
description: "24 papers of the Elamur Research library cite «Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based…"
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---
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# Who cites «Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning»

24 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning»](https://md.research.elamur.ai/free/en/papers/weber-2023-mind-instructions-holistic-evaluation-consistency/)

1. [**The Llama 3 Herd of Models arXiv:2407.21783**Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.*2024 · 7,682 citations*](https://md.research.elamur.ai/free/en/papers/grattafiori-2024-llama-3-herd-models/)
2. [**When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards arXiv:2402.01781**Norah Alzahrani, Hisham Abdullah Alyahya, Yazeed Alnumay, et al.*2024 · 74 citations*](https://md.research.elamur.ai/free/en/papers/alzahrani-2024-benchmarks-targets-revealing-sensitivity-large/)
3. **[Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance](https://md.research.elamur.ai/free/en/papers/pecher-2025-comparing-specialised-small-general-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Branislav Pecher, Ivan Srba, Maria Bielikova*2025 · 24 citations*
4. [**WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models arXiv:2311.15930**Youssef Benchekroun, Megi Dervishi, Mark Ibrahim, et al.*2023 · 15 citations*](https://md.research.elamur.ai/free/en/papers/benchekroun-2023-worldsense-synthetic-benchmark-grounded-reasoning/)
5. **[MultiLoKo: a multilingual local knowledge benchmark for LLMs spanning 31 languages](https://md.research.elamur.ai/free/en/papers/hupkes-2025-multiloko-multilingual-local-knowledge-benchmark/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Dieuwke Hupkes, Nikolay Bogoychev*2025 · 12 citations*
6. **[Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification](https://md.research.elamur.ai/free/en/papers/pecher-2026-better-as-generators-than-classifiers/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Branislav Pecher, Jan Cegin, Robert Belanec, et al.*2026 · 1 citation*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/weber-2023-mind-instructions-holistic-evaluation-consistency/) — Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning