--- title: "Oscar Sainz — papers" description: "Oscar Sainz: 5 papers in the Elamur Research library (2021–2026) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/oscar-sainz/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/oscar-sainz/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Oscar Sainz # Oscar Sainz 5 papers on this site (2021–2026) [OpenAlex](https://openalex.org/A5025171334) · [ORCID](https://orcid.org/0000-0003-0890-7670) · h-index 6 · 28 works · 1616 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [Merge and Conquer: Instructing Multilingual Models by Adding Target Language Weights](https://md.research.elamur.ai/free/en/papers/valero-2026-merge-conquer-instructing-multilingual-models/) — Eneko Valero, Maria Ribalta i Albado, Oscar Sainz, et al. · 2026 - [SemBench: A Universal Semantic Framework for LLM Evaluation](https://md.research.elamur.ai/free/en/papers/zubillaga-2026-sembench-universal-semantic-framework-llm/) — Mikel Zubillaga, Naiara Perez, Oscar Sainz, et al. · 2026 - [GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction](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 - [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/) — Oscar Sainz, Jon Campos, Iker García-Ferrero, et al. · 2023 - [Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/) — Bonan Min, Hayley Ross, Elior Sulem, et al. · 2021