Agirre, Eneko

Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey

Min, B., Ross, H., Sulem, E., Veyseh, A. P. B., Nguyen, T. H., Sainz, O., Agirre, E., Heintz, I., & Roth, D. (2024) · ACM Computing Surveys

Topic ModelingNatural Language Processing Techniques

Cited by 1,387

Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey

Min, B., Ross, H., Sulem, E., Veyseh, A. P. B., Nguyen, T. H., Sainz, O., Agirre, E., Heinz, I., & Roth, D. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,387

Unsupervised Neural Machine Translation

Artetxe, M., Labaka, G., Agirre, E., & Cho, K. (2017) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 632

NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark

Sainz, O., Campos, J., García-Ferrero, I., Etxaniz, J., de Lacalle, O. L., & Agirre, E. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingNatural Language Processing Techniques

Cited by 129

NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark

Sainz, O., Campos, J. A., García-Ferrero, I., Etxaniz, J., de Lacalle, O. L., & Agirre, E. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 85