From post

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

How Context Affects Language Models' Factual Predictions., , , , , , и . AKBC, (2020)Domain-matched Pre-training Tasks for Dense Retrieval., , , , , , , , , и 1 other автор(ы). NAACL-HLT (Findings), стр. 1524-1534. Association for Computational Linguistics, (2022)GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration., , , , , , , , и . ACL (demo), стр. 588-598. Association for Computational Linguistics, (2023)Improving Wikipedia verifiability with AI., , , , , , , , , и 4 other автор(ы). Nat. Mac. Intell., 5 (10): 1142-1148 (октября 2023)How Decoding Strategies Affect the Verifiability of Generated Text., , , , , , , и . EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 223-235. Association for Computational Linguistics, (2020)Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models., , , , , , , , и . CoRR, (2024)Scaling Data-Constrained Language Models., , , , , , , , и . CoRR, (2023)Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements., , , , , , , , , и . EMNLP (Demos), стр. 128-136. Association for Computational Linguistics, (2022)The ROOTS Search Tool: Data Transparency for LLMs., , , , , , , и . CoRR, (2023)Improving Wikipedia Verifiability with AI., , , , , , , , , и 3 other автор(ы). CoRR, (2022)