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  1. Mention memory: incorporating textual knowledge into transformers through entity mention attention. M De Jong, Y Zemlyanskiy, N FitzGerald, F Sha, W Cohen. arXiv preprint arXiv:2110.06176. , 2021. 40. 2021. Augmenting pre-trained language models with qa-memory for open-domain question answering.

  2. en.wikipedia.org › wiki › Mike_de_JongMike de Jong - Wikipedia

    Profession. lawyer. Mike de Jong KC (born 1963 or 1964) is a politician in the Canadian province of British Columbia. [2] He is a member of the Legislative Assembly (MLA) of British Columbia, representing the electoral district of Matsqui from 1994 to 2001, Abbotsford-Mount Lehman from 2001 to 2009, and Abbotsford West since 2009.

  3. Jan 25, 2023 · A hybrid approach to retrieval augmentation makes the most of your compute, by Michiel de Jong and 6 other authors View PDF Abstract: Retrieval-augmented language models such as Fusion-in-Decoder are powerful, setting the state of the art on a variety of knowledge-intensive tasks.

    • arXiv:2301.10448 [cs.CL]
    • ICML 2023
  4. May 22, 2023 · Authors: Joshua Ainslie, James Lee-Thorp, Michiel de Jong, Yury Zemlyanskiy, Federico Lebrón, Sumit Sanghai View a PDF of the paper titled GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints, by Joshua Ainslie and 5 other authors

  5. Towards a Robust Interactive and Learning Social Robot. AAMAS 2018: 883-891. [c1] Michiel de Jong, Vera Stara, Viviane von Döllen, Daniel Bolliger, Marcel Heerink, Vanessa Evers: Users requirements in the design of a virtual agent for patients with dementia and their caregivers.

  6. Michiel de Jong. Actor: Black Book. Michiel de Jong was born on 17 May 1973 in Oranjestad, Aruba. He is an actor and director, known for Black Book (2006), Julia's Tango (2007) and Het huis Anubis (2006).

  7. no code implementations • 17 Jun 2023 • Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Sumit Sanghai, William W. Cohen, Joshua Ainslie Memory-augmentation is a powerful approach for efficiently incorporating external information into language models, but leads to reduced performance relative to retrieving text.