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GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction., , , , , и . CoRR, (2023)IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition Using Knowledge Bases., , , , и . SemEval@ACL, стр. 1335-1346. Association for Computational Linguistics, (2023)HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicine., , , , , , , , , и 2 other автор(ы). SEPLN (Projects and Demonstrations), том 3516 из CEUR Workshop Proceedings, стр. 65-69. CEUR-WS.org, (2023)NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark., , , , , и . EMNLP (Findings), стр. 10776-10787. Association for Computational Linguistics, (2023)Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain., , , , , , , , , и 3 other автор(ы). CoRR, (2024)MedMT5: An Open-Source Multilingual Text-to-Text LLM for the Medical Domain., , , , , , , , , и 3 other автор(ы). LREC/COLING, стр. 11165-11177. ELRA and ICCL, (2024)GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction., , , , , и . ICLR, OpenReview.net, (2024)Acquisition and Exploitation of Cross-Lingual Knowledge.. PLN-DS@SEPLN, том 3270 из CEUR Workshop Proceedings, стр. 15-23. CEUR-WS.org, (2022)Benchmarking Meta-embeddings: What Works and What Does Not., , и . EMNLP (Findings), стр. 3957-3972. Association for Computational Linguistics, (2021)This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models., , , , и . EMNLP, стр. 8596-8615. Association for Computational Linguistics, (2023)