---
title: "Who cites Automatic Combination of Sample — 10 citing papers"
description: "10 papers of the Elamur Research library cite «Automatic Combination of Sample Selection Strategies for Few-Shot Learning», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/pecher-2026-automatic-combination-sample-selection-strategies/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Automatic Combination of Sample Selection…](https://md.research.elamur.ai/free/en/papers/pecher-2026-automatic-combination-sample-selection-strategies/) / cited by

# Who cites «Automatic Combination of Sample Selection Strategies for Few-Shot Learning»

10 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 «Automatic Combination of Sample Selection Strategies for Few-Shot Learning»](https://md.research.elamur.ai/free/en/papers/pecher-2026-automatic-combination-sample-selection-strategies/)

1. **[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*
2. **[Context-Aware Language Understanding in Human-Robot Dialogue with LLMs](https://md.research.elamur.ai/free/en/papers/stoyanchev-2026-context-aware-language-understanding-human/) [International Workshop on Spoken Dialogue System Technology](https://md.research.elamur.ai/free/en/venues/iwsds/)**Svetlana Stoyanchev, Youmna Farag, Simon Keizer, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/pecher-2026-automatic-combination-sample-selection-strategies/) — Automatic Combination of Sample Selection Strategies for Few-Shot Learning
