Michiel de Jong

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 27

Top Topics

Triangle Inequality

Multiple Choice

Top Venues

Publications

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
CoLT5: Faster Long-Range Transformers with Conditional Computation. EMNLP (2023)
Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. ICML (2023)
Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie, Nicholas FitzGerald, Sumit Sanghai, Fei Sha, William W. Cohen
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. ACL (Findings) (2023)
Joshua Ainslie, James Lee-Thorp, Michiel de Jong, Yury Zemlyanskiy, Federico Lebrón, Sumit Sanghai
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints. EMNLP (2023)
Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Sumit Sanghai, William W. Cohen, Joshua Ainslie
GLIMMER: generalized late-interaction memory reranker. CoRR (2023)
Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William Cohen
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute. CoRR (2023)
William W. Cohen, Wenhu Chen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting
QA Is the New KR: Question-Answer Pairs as Knowledge Bases. AAAI (2023)
Joshua Ainslie, James Lee-Thorp, Michiel de Jong, Yury Zemlyanskiy, Federico Lebrón, Sumit Sanghai
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints. CoRR (2023)
Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. EACL (2023)
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
CoLT5: Faster Long-Range Transformers with Conditional Computation. CoRR (2023)
Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis, Santiago Ontañón, William W. Cohen, Sumit Sanghai, Joshua Ainslie
MEMORY-VQ: Compression for Tractable Internet-Scale Memory. CoRR (2023)
Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William W. Cohen
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. ICLR (2022)
Yury Zemlyanskiy, Michiel de Jong, Joshua Ainslie, Panupong Pasupat, Peter Shaw, Linlu Qiu, Sumit Sanghai, Fei Sha
Generate-and-Retrieve: Use Your Predictions to Improve Retrieval for Semantic Parsing. COLING (2022)
Michiel de Jong, Yury Zemlyanskiy, Joshua Ainslie, Nicholas FitzGerald, Sumit Sanghai, Fei Sha, William Cohen
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference. CoRR (2022)
Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William W. Cohen
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. CoRR (2022)
Wenhu Chen, William W. Cohen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting
QA Is the New KR: Question-Answer Pairs as Knowledge Bases. CoRR (2022)
Yury Zemlyanskiy, Michiel de Jong, Joshua Ainslie, Panupong Pasupat, Peter Shaw, Linlu Qiu, Sumit Sanghai, Fei Sha
Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing. CoRR (2022)
Yury Zemlyanskiy, Joshua Ainslie, Michiel de Jong, Philip Pham, Ilya Eckstein, Fei Sha
ReadTwice: Reading Very Large Documents with Memories. CoRR (2021)
Yury Zemlyanskiy, Joshua Ainslie, Michiel de Jong, Philip Pham, Ilya Eckstein, Fei Sha
ReadTwice: Reading Very Large Documents with Memories. NAACL-HLT (2021)
Michiel de Jong, Satyapriya Krishna, Anuva Agarwal
Grounding Complex Navigational Instructions Using Scene Graphs. CoRR (2021)
Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William Cohen
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention. CoRR (2021)
Vera Stara, Michiel de Jong, Elisa Felici, Daniel Bolliger, Edith Birrer, Viviane von Döllen, Lorena Rossi, Marcel Heerink
The Design Adaptation of the Virtual Assistant Anne for Moderate Dementia Patients and Their Formal Caregivers in Protected Environment Tests. AHFE (6) (2019)
Michiel de Jong, Marike Hettinga, Vera Stara, Vanessa Evers, Jamy Li
Eldertainment or functional necessity?: how virtual agents affect the home lives of people with dementia using the quality of life (QOL-AD) scale. UbiComp/ISWC Adjunct (2019)
Michiel de Jong, Fei Sha
Neural Theorem Provers Do Not Learn Rules Without Exploration. CoRR (2019)
Aditi Chaudhary, Bhargavi Paranjape, Michiel de Jong
Weighted Global Normalization for Multiple Choice ReadingComprehension over Long Documents. CoRR (2018)
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. GOODTECHS (2018)
Michiel de Jong, Kevin Zhang, Aaron M. Roth, Travers Rhodes, Robin Schmucker, Chenghui Zhou, Sofia Ferreira, João Cartucho, Manuela M. Veloso
Towards a Robust Interactive and Learning Social Robot. AAMAS (2018)