Michael Boratko
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
7
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings. | Shib Sankar Dasgupta, Michael Boratko, Andrew McCallum |
| 2025 | NAACL | LOFT: Scalable and More Realistic Long-Context Evaluation. | Jinhyuk Lee, Anthony Chen, Zhuyun Dai, Dheeru Dua, Devendra Singh Sachan, Michael Boratko, Yi Luan, Sbastien M. R. Arnold, Vincent Perot, Siddharth Dalmia, Hexiang Hu, Xudong Lin, Panupong Pasupat, Aida Amini, Jeremy R. Cole, Sebastian Riedel, Iftekhar Naim, Ming-Wei Chang, Kelvin Guu |
| 2024 | ACL | Every Answer Matters: Evaluating Commonsense with Probabilistic Measures. | Qi Cheng, Michael Boratko, Pranay Kumar Yelugam, Tim O'Gorman, Nalini Singh, Andrew McCallum, Xiang Li |
| 2024 | ICML | A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks. | Nicholas Monath, Will Sussman Grathwohl, Michael Boratko, Rob Fergus, Andrew McCallum, Manzil Zaheer |
| 2022 | AAAI | An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity. | Siddhartha Mishra, Nicholas Monath, Michael Boratko, Ariel Kobren, Andrew McCallum |
| 2022 | ACL | Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings. | Shib Sankar Dasgupta, Michael Boratko, Siddhartha Mishra, Shriya Atmakuri, Dhruvesh Patel, Xiang Li, Andrew McCallum |
| 2022 | ICLR | Modeling Label Space Interactions in Multi-label Classification using Box Embeddings. | Dhruvesh Patel, Pavitra Dangati, Jay-Yoon Lee, Michael Boratko, Andrew McCallum |
| 2021 | ACL | Modeling Fine-Grained Entity Types with Box Embeddings. | Yasumasa Onoe, Michael Boratko, Andrew McCallum, Greg Durrett |
| 2021 | EMNLP | Box Embeddings: An open-source library for representation learning using geometric structures. | Tejas Chheda, Purujit Goyal, Trang Tran, Dhruvesh Patel, Michael Boratko, Shib Sankar Dasgupta, Andrew McCallum |
| 2021 | NAACL | Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning. | Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum |
| 2021 | UAI | Min/max stability and box distributions. | Michael Boratko, Javier Burroni, Shib Sankar Dasgupta, Andrew McCallum |
| 2020 | EMNLP | ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning. | Michael Boratko, Xiang Li, Tim O'Gorman, Rajarshi Das, Dan Le, Andrew McCallum |
| 2019 | ICLR | Smoothing the Geometry of Probabilistic Box Embeddings. | Xiang Li, Luke Vilnis, Dongxu Zhang, Michael Boratko, Andrew McCallum |
| 2018 | ACL | A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. | Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock |
| 2018 | EMNLP | An Interface for Annotating Science Questions. | Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock |