Michael Boratko

38 papers A* 8A 1Journal 17Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Autoregressive Ranking: Bridging the Gap Between Dual and Cross Encoders.
CoRR
Benjamin Rozonoyer, Chong You, Michael Boratko, Himanshu Jain, Nilesh Gupta, Srinadh Bhojanapalli, Andrew McCallum, Felix Yu
2026 J jnl
Mining Generalizable Activation Functions.
CoRR
Alex Vitvitskyi, Michael Boratko, Matej Grcic, Razvan Pascanu, Deep Shah, Petar Velickovic
2025 A* conf
A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings.
ICML
Shib Sankar Dasgupta, Michael Boratko, Andrew McCallum
2025 J jnl
A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings.
CoRR
Shib Sankar Dasgupta, Michael Boratko, Andrew McCallum
2025 J jnl
EmbeddingGemma: Powerful and Lightweight Text Representations.
CoRR
Henrique Schechter Vera, Sahil Dua, Biao Zhang, Daniel Salz, Ryan Mullins, Sindhu Raghuram Panyam, Sara Smoot, Iftekhar Naim, Joe Zou, Feiyang Chen, Daniel Cer, Alice Lisak, Min Choi, Lucas Gonzalez, Omar Sanseviero, Glenn Cameron, Ian Ballantyne, Kat Black, Kaifeng Chen, Weiyi Wang, Zhe Li, Gus Martins, Jinhyuk Lee, Mark Sherwood, Ju-yeong Ji, Renjie Wu, Jingxiao Zheng, Jyotinder Singh, Abheesht Sharma, Divyashree Sreepathihalli, Aashi Jain, Adham Elarabawy, AJ Co, Andreas Doumanoglou, Babak Samari, Ben Hora, Brian Potetz, Dahun Kim, Enrique Alfonseca, Fedor Moiseev, Feng Han, Frank Palma Gomez, Gustavo Hernández Ábrego, Hesen Zhang, Hui Hui, Jay Han, Karan Gill, Ke Chen, Koert Chen, Madhuri Shanbhogue, Michael Boratko, Paul Suganthan, Sai Meher Karthik Duddu, Sandeep Mariserla, Setareh Ariafar, Shanfeng Zhang, Shijie Zhang, Simon Baumgartner, Sonam Goenka, Steve Qiu, Tanmaya Dabral, Trevor Walker, Vikram Rao, Waleed Khawaja, Wenlei Zhou, Xiaoqi Ren, Ye Xia, Yichang Chen, Yi-Ting Chen, Zhe Dong, Zhongli Ding, Francesco Visin, Gaël Liu, Jiageng Zhang, Kathleen Kenealy, Michelle Casbon, Ravin Kumar, Thomas Mesnard, Zach Gleicher, Cormac Brick, Olivier Lacombe, Adam Roberts, Qin Yin, Yun-Hsuan Sung, Raphael Hoffmann, Tris Warkentin, Armand Joulin, Tom Duerig, Mojtaba Seyedhosseini
2025 J jnl
Gemini Embedding: Generalizable Embeddings from Gemini.
CoRR
Jinhyuk Lee, Feiyang Chen, Sahil Dua, Daniel Cer, Madhuri Shanbhogue, Iftekhar Naim, Gustavo Hernández Ábrego, Zhe Li, Kaifeng Chen, Henrique Schechter Vera, Xiaoqi Ren, Shanfeng Zhang, Daniel Salz, Michael Boratko, Jay Han, Blair Chen, Shuo Huang, Vikram Rao, Paul Suganthan, Feng Han, Andreas Doumanoglou, Nithi Gupta, Fedor Moiseev, Cathy Yip, Aashi Jain, Simon Baumgartner, Shahrokh Shahi, Frank Palma Gomez, Sandeep Mariserla, Min Choi, Parashar Shah, Sonam Goenka, Ke Chen, Ye Xia, Koert Chen, Sai Meher Karthik Duddu, Yichang Chen, Trevor Walker, Wenlei Zhou, Rakesh Ghiya, Zach Gleicher, Karan Gill, Zhe Dong, Mojtaba Seyedhosseini, Yun-Hsuan Sung, Raphael Hoffmann, Tom Duerig
2025 — conf
LOFT: Scalable and More Realistic Long-Context Evaluation.
NAACL (Findings)
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
2025 J jnl
On the Theoretical Limitations of Embedding-Based Retrieval.
CoRR
Orion Weller, Michael Boratko, Iftekhar Naim, Jinhyuk Lee
2024 A* conf
A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks.
ICML
Nicholas Monath, Will Sussman Grathwohl, Michael Boratko, Rob Fergus, Andrew McCallum, Manzil Zaheer
2024 J jnl
A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks.
CoRR
Nicholas Monath, Will Grathwohl, Michael Boratko, Rob Fergus, Andrew McCallum, Manzil Zaheer
2024 J jnl
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
CoRR
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
2024 — conf
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures.
ACL (1)
Qi Cheng, Michael Boratko, Pranay Kumar Yelugam, Tim O'Gorman, Nalini Singh, Andrew McCallum, Xiang Li
2024 J jnl
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures.
CoRR
Qi Cheng, Michael Boratko, Pranay Kumar Yelugam, Tim O'Gorman, Nalini Singh, Andrew McCallum, Xiang Lorraine Li
2024 J jnl
Gecko: Versatile Text Embeddings Distilled from Large Language Models.
CoRR
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
2024 A* conf
Learning Representations for Hierarchies with Minimal Support.
NeurIPS
Benjamin Rozonoyer, Michael Boratko, Dhruvesh Patel, Wenlong Zhao, Shib Sankar Dasgupta, Hung Le, Andrew McCallum
2022 A* conf
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity.
AAAI
Siddhartha Mishra, Nicholas Monath, Michael Boratko, Ariel Kobren, Andrew McCallum
2022 A* conf
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings.
ICLR
Dhruvesh Patel, Pavitra Dangati, Jay-Yoon Lee, Michael Boratko, Andrew McCallum
2022 A* conf
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings.
NeurIPS
Dongxu Zhang, Michael Boratko, Cameron Musco, Andrew McCallum
2022 — conf
Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings.
ACL (1)
Shib Sankar Dasgupta, Michael Boratko, Siddhartha Mishra, Shriya Atmakuri, Dhruvesh Patel, Xiang Li, Andrew McCallum
2021 — conf
Box Embeddings: An open-source library for representation learning using geometric structures.
EMNLP (Demos)
Tejas Chheda, Purujit Goyal, Trang Tran, Dhruvesh Patel, Michael Boratko, Shib Sankar Dasgupta, Andrew McCallum
2021 J jnl
Box Embeddings: An open-source library for representation learning using geometric structures.
CoRR
Tejas Chheda, Purujit Goyal, Trang Tran, Dhruvesh Patel, Michael Boratko, Shib Sankar Dasgupta, Andrew McCallum
2021 — conf
Box-To-Box Transformations for Modeling Joint Hierarchies.
RepL4NLP@ACL-IJCNLP
Shib Sankar Dasgupta, Xiang Lorraine Li, Michael Boratko, Dongxu Zhang, Andrew McCallum
2021 A* conf
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs.
NeurIPS
Michael Boratko, Dongxu Zhang, Nicholas Monath, Luke Vilnis, Kenneth L. Clarkson, Andrew McCallum
2021 A conf
Min/max stability and box distributions.
UAI
Michael Boratko, Javier Burroni, Shib Sankar Dasgupta, Andrew McCallum
2021 — conf
Modeling Fine-Grained Entity Types with Box Embeddings.
ACL/IJCNLP (1)
Yasumasa Onoe, Michael Boratko, Andrew McCallum, Greg Durrett
2021 J jnl
Modeling Fine-Grained Entity Types with Box Embeddings.
CoRR
Yasumasa Onoe, Michael Boratko, Greg Durrett
2021 — conf
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning.
NAACL-HLT
Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum
2021 J jnl
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning.
CoRR
Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum
2021 J jnl
Word2Box: Learning Word Representation Using Box Embeddings.
CoRR
Shib Sankar Dasgupta, Michael Boratko, Shriya Atmakuri, Xiang Lorraine Li, Dhruvesh Patel, Andrew McCallum
2020 A* conf
Improving Local Identifiability in Probabilistic Box Embeddings.
NeurIPS
Shib Sankar Dasgupta, Michael Boratko, Dongxu Zhang, Luke Vilnis, Xiang Li, Andrew McCallum
2020 J jnl
Improving Local Identifiability in Probabilistic Box Embeddings.
CoRR
Shib Sankar Dasgupta, Michael Boratko, Dongxu Zhang, Luke Vilnis, Xiang Lorraine Li, Andrew McCallum
2020 — conf
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning.
EMNLP (1)
Michael Boratko, Xiang Li, Tim O'Gorman, Rajarshi Das, Dan Le, Andrew McCallum
2020 J jnl
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning.
CoRR
Michael Boratko, Xiang Lorraine Li, Rajarshi Das, Tim O'Gorman, Dan Le, Andrew McCallum
2020 — conf
Representing Joint Hierarchies with Box Embeddings.
AKBC
Dhruvesh Patel, Shib Sankar Dasgupta, Michael Boratko, Xiang Li, Luke Vilnis, Andrew McCallum
2019 — conf
Smoothing the Geometry of Probabilistic Box Embeddings.
ICLR
Xiang Li, Luke Vilnis, Dongxu Zhang, Michael Boratko, Andrew McCallum
2018 — conf
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset.
QA@ACL
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 J jnl
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset.
CoRR
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 — conf
An Interface for Annotating Science Questions.
EMNLP (Demonstration)
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