---
title: "Eneko Agirre — papers of 2023 — 2 papers, the most cited first"
description: "Eneko Agirre — papers of 2023: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
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---
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# Eneko Agirre — papers of 2023 — 2 papers, the most cited first

2 papers · [all years of Eneko Agirre](https://md.research.elamur.ai/free/en/authors/eneko-agirre/#years)

**[NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark](https://md.research.elamur.ai/free/en/papers/sainz-2023-nlp-evaluation-trouble-need-measure/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Oscar Sainz, Jon Campos, Iker García-Ferrero, et al.*2023 · 250 citations*

- [GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction arXiv:2310.03668](https://md.research.elamur.ai/free/en/papers/sainz-2023-gollie-annotation-guidelines-improve-zero/) — Oscar Sainz, Iker Garcia-Ferrero, Rodrigo Agerri, et al. · 2023 · 114 citations