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GLTR: Statistical Detection and Visualization of Generated Text.

, , и . CoRR, (2019)

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Sebastian Gehrmann

Günther Gehrmann

Wiebke Gehrmann

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Erwin Gehrmann

 

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Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages., , , и . CoRR, (2019)Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning., , , , , , , , , и 23 other автор(ы). CoRR, (2024)Towards Computationally Verifiable Semantic Grounding for Language Models., , , , и . CoRR, (2022)The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics., , , , , , , , , и 45 other автор(ы). CoRR, (2021)TaTa: A Multilingual Table-to-Text Dataset for African Languages., , , , , , и . CoRR, (2022)Debugging Sequence-to-Sequence Models with Seq2Seq-Vis., , , , , и . BlackboxNLP@EMNLP, стр. 368-370. Association for Computational Linguistics, (2018)Benchmarking Large Language Model Capabilities for Conditional Generation., , и . ACL (1), стр. 9194-9213. Association for Computational Linguistics, (2023)A Framework for Automated Text Generation Benchmarking., , , , , и . SDU@AAAI, том 3164 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)Dialect-robust Evaluation of Generated Text., , , , , , , , и . CoRR, (2022)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, , , , , , , , , и 441 other автор(ы). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.