Towards a Robust Interactive and Learning Social Robot. - Michiel de Jong; Kevin Zhang 002; Aaron M. Roth; Travers Rhodes; Robin Schmucker; Chenghui Zhou; Sofia Ferreira; João Cartucho; Manuela M. Veloso (AAMAS, 2018)

Users requirements in the design of a virtual agent for patients with dementia and their caregivers. - Michiel de Jong; Vera Stara; Viviane von Döllen; Daniel Bolliger; Marcel Heerink; Vanessa Evers (GOODTECHS, 2018)

Weighted Global Normalization for Multiple Choice ReadingComprehension over Long Documents. - Aditi Chaudhary; Bhargavi Paranjape; Michiel de Jong (CoRR, 2018)

The Design Adaptation of the Virtual Assistant Anne for Moderate Dementia Patients and Their Formal Caregivers in Protected Environment Tests. - Vera Stara; Michiel de Jong; Elisa Felici; Daniel Bolliger; Edith Birrer; Viviane von Döllen; Lorena Rossi; Marcel Heerink (AHFE (6), 2019)

Eldertainment or functional necessity?: how virtual agents affect the home lives of people with dementia using the quality of life (QOL-AD) scale. - Michiel de Jong; Marike Hettinga; Vera Stara; Vanessa Evers; Jamy Li (UbiComp/ISWC Adjunct, 2019)

Neural Theorem Provers Do Not Learn Rules Without Exploration. - Michiel de Jong; Fei Sha (CoRR, 2019)

ReadTwice: Reading Very Large Documents with Memories. - Yury Zemlyanskiy; Joshua Ainslie; Michiel de Jong; Philip Pham; Ilya Eckstein; Fei Sha (NAACL-HLT, 2021)

Grounding Complex Navigational Instructions Using Scene Graphs. - Michiel de Jong; Satyapriya Krishna; Anuva Agarwal (CoRR, 2021)

Generate-and-Retrieve: Use Your Predictions to Improve Retrieval for Semantic Parsing. - Yury Zemlyanskiy; Michiel de Jong; Joshua Ainslie; Panupong Pasupat; Peter Shaw 004; Linlu Qiu; Sumit Sanghai; Fei Sha (COLING, 2022)

Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. - Michiel de Jong; Yury Zemlyanskiy; Nicholas FitzGerald; Fei Sha; William W. Cohen (ICLR, 2022)

QA Is the New KR: Question-Answer Pairs as Knowledge Bases. - William W. Cohen; Wenhu Chen; Michiel de Jong; Nitish Gupta; Alessandro Presta; Pat Verga; John Wieting (AAAI, 2023)

FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. - Michiel de Jong; Yury Zemlyanskiy; Joshua Ainslie; Nicholas FitzGerald; Sumit Sanghai; Fei Sha; William W. Cohen (ACL (Findings), 2023)

Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. - Wenhu Chen; Pat Verga; Michiel de Jong; John Wieting; William W. Cohen (EACL, 2023)

CoLT5: Faster Long-Range Transformers with Conditional Computation. - Joshua Ainslie; Tao Lei; Michiel de Jong; Santiago Ontañón; Siddhartha Brahma; Yury Zemlyanskiy; David C. Uthus; Mandy Guo; James Lee-Thorp; Yi Tay; Yun-Hsuan Sung; Sumit Sanghai (EMNLP, 2023)

GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints. - Joshua Ainslie; James Lee-Thorp; Michiel de Jong; Yury Zemlyanskiy; Federico Lebrón; Sumit Sanghai (EMNLP, 2023)

Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. - Michiel de Jong; Yury Zemlyanskiy; Nicholas FitzGerald; Joshua Ainslie; Sumit Sanghai; Fei Sha; William W. Cohen (ICML, 2023)

GLIMMER: generalized late-interaction memory reranker. - Michiel de Jong; Yury Zemlyanskiy; Nicholas FitzGerald; Sumit Sanghai; William W. Cohen; Joshua Ainslie (CoRR, 2023)

MEMORY-VQ: Compression for Tractable Internet-Scale Memory. - Yury Zemlyanskiy; Michiel de Jong; Luke Vilnis; Santiago Ontañón; William W. Cohen; Sumit Sanghai; Joshua Ainslie (NAACL (Short Papers), 2024)