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

Multi-hop Knowledge Base Question Answering with an Iterative Sequence Matching Model., , и . ICDM, стр. 359-368. IEEE, (2019)Playing Lottery Tickets with Vision and Language., , , , , , , , и . AAAI, стр. 652-660. AAAI Press, (2022)AdaPrompt: Adaptive Model Training for Prompt-based NLP., , , , , , и . EMNLP (Findings), стр. 6057-6068. Association for Computational Linguistics, (2022)NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset., , , , , , и . EMNLP (Findings), стр. 4147-4161. Association for Computational Linguistics, (2021)Unsupervised Deep Structured Semantic Models for Commonsense Reasoning., , , , , , и . NAACL-HLT (1), стр. 882-891. Association for Computational Linguistics, (2019)LMGQS: A Large-scale Dataset for Query-focused Summarization., , , , , , , , и . EMNLP (Findings), стр. 14764-14776. Association for Computational Linguistics, (2023)Generate rather than Retrieve: Large Language Models are Strong Context Generators., , , , , , , , и . ICLR, OpenReview.net, (2023)Generate rather than Retrieve: Large Language Models are Strong Context Generators., , , , , , , , и . CoRR, (2022)Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data., , , , , , , и . ACL (1), стр. 3170-3179. Association for Computational Linguistics, (2022)EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets., , , , , и . ACL/IJCNLP (1), стр. 2195-2207. Association for Computational Linguistics, (2021)