Michael Boratko

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Question Answering

Uncertain Knowledge

Dimensionality Reduction

Top Venues

Publications

Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, Blair Chen, Daniel Cer, Jeremy R. Cole, Kai Hui, Michael Boratko, Rajvi Kapadia, Wen Ding, Yi Luan, Sai Meher Karthik Duddu, Gustavo Hernández Ábrego, Weiqiang Shi, Nithi Gupta, Aditya Kusupati, Prateek Jain, Siddhartha Reddy Jonnalagadda, Ming-Wei Chang, Iftekhar Naim
Gecko: Versatile Text Embeddings Distilled from Large Language Models. CoRR (2024)
Qi Cheng, Michael Boratko, Pranay Kumar Yelugam, Tim O'Gorman, Nalini Singh, Andrew McCallum, Xiang Lorraine Li
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures. CoRR (2024)
Qi Cheng, Michael Boratko, Pranay Kumar Yelugam, Tim O'Gorman, Nalini Singh, Andrew McCallum, Xiang Li
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures. ACL (1) (2024)
Jinhyuk Lee, Anthony Chen, Zhuyun Dai, Dheeru Dua, Devendra Singh Sachan, Michael Boratko, Yi Luan, Sébastien 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
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? CoRR (2024)
Shib Sankar Dasgupta, Michael Boratko, Siddhartha Mishra, Shriya Atmakuri, Dhruvesh Patel, Xiang Li, Andrew McCallum
Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings. ACL (1) (2022)
Dhruvesh Patel, Pavitra Dangati, Jay-Yoon Lee, Michael Boratko, Andrew McCallum
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings. ICLR (2022)
Dongxu Zhang, Michael Boratko, Cameron Musco, Andrew McCallum
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings. NeurIPS (2022)
Siddhartha Mishra, Nicholas Monath, Michael Boratko, Ariel Kobren, Andrew McCallum
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity. AAAI (2022)
Tejas Chheda, Purujit Goyal, Trang Tran, Dhruvesh Patel, Michael Boratko, Shib Sankar Dasgupta, Andrew McCallum
Box Embeddings: An open-source library for representation learning using geometric structures. EMNLP (Demos) (2021)
Tejas Chheda, Purujit Goyal, Trang Tran, Dhruvesh Patel, Michael Boratko, Shib Sankar Dasgupta, Andrew McCallum
Box Embeddings: An open-source library for representation learning using geometric structures. CoRR (2021)
Shib Sankar Dasgupta, Xiang Lorraine Li, Michael Boratko, Dongxu Zhang, Andrew McCallum
Box-To-Box Transformations for Modeling Joint Hierarchies. RepL4NLP@ACL-IJCNLP (2021)
Yasumasa Onoe, Michael Boratko, Greg Durrett
Modeling Fine-Grained Entity Types with Box Embeddings. CoRR (2021)
Michael Boratko, Dongxu Zhang, Nicholas Monath, Luke Vilnis, Kenneth L. Clarkson, Andrew McCallum
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs. NeurIPS (2021)
Michael Boratko, Javier Burroni, Shib Sankar Dasgupta, Andrew McCallum
Min/max stability and box distributions. UAI (2021)
Shib Sankar Dasgupta, Michael Boratko, Shriya Atmakuri, Xiang Lorraine Li, Dhruvesh Patel, Andrew McCallum
Word2Box: Learning Word Representation Using Box Embeddings. CoRR (2021)
Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning. CoRR (2021)
Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning. NAACL-HLT (2021)
Yasumasa Onoe, Michael Boratko, Andrew McCallum, Greg Durrett
Modeling Fine-Grained Entity Types with Box Embeddings. ACL/IJCNLP (1) (2021)
Michael Boratko, Xiang Li, Tim O'Gorman, Rajarshi Das, Dan Le, Andrew McCallum
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning. EMNLP (1) (2020)
Michael Boratko, Xiang Lorraine Li, Rajarshi Das, Tim O'Gorman, Dan Le, Andrew McCallum
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning. CoRR (2020)
Shib Sankar Dasgupta, Michael Boratko, Dongxu Zhang, Luke Vilnis, Xiang Lorraine Li, Andrew McCallum
Improving Local Identifiability in Probabilistic Box Embeddings. CoRR (2020)
Dhruvesh Patel, Shib Sankar Dasgupta, Michael Boratko, Xiang Li, Luke Vilnis, Andrew McCallum
Representing Joint Hierarchies with Box Embeddings. AKBC (2020)
Shib Sankar Dasgupta, Michael Boratko, Dongxu Zhang, Luke Vilnis, Xiang Li, Andrew McCallum
Improving Local Identifiability in Probabilistic Box Embeddings. NeurIPS (2020)
Xiang Li, Luke Vilnis, Dongxu Zhang, Michael Boratko, Andrew McCallum
Smoothing the Geometry of Probabilistic Box Embeddings. ICLR (2019)
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
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. QA@ACL (2018)
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
An Interface for Annotating Science Questions. EMNLP (Demonstration) (2018)
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
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. CoRR (2018)