← Authors

Michael Boratko

22 papers · 2018–2025 · 9 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (10) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (33) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (7) 🀝 Dynamic Duo (21) πŸ† Grand Slam πŸ”¬ Deep Specialist (10) ⚑ Prolific Year (8) πŸ“ˆ Trend Setter πŸ’Ž Century Club (22) πŸ—ƒοΈ Keyword Collector (73) πŸ”₯ Unstoppable (5)

Conferences

ACL (5) NIPS (4) EMNLP (3) ICLR (2) ICML (2) IJCNLP (2) NAACL (2) AAAI (1) UAI (1)

Top co-authors

Andrew McCallum (21) Shib Sankar Dasgupta (7) Dongxu Zhang (6) Xiang Lorraine Li (6) Dhruvesh Patel (4) Nicholas Monath (3) Rajarshi Das (3) Luke Vilnis (3) Michael Witbrock (2) Shib Dasgupta (2)

Keywords

box embedding (10) representation learning (4) knowledge graph (4) graph representation (3) directed graph (3) geometric embedding (3) question answering (3) gumbel distribution (2) fine-grained entity typing (2) knowledge classification (2) graph representation learning (2) probabilistic embedding (2) language model (2) hierarchical structure (2) hyperbolic embedding (2) science question (2) inductive bia (2) probability distribution (1) hierarchical representation (1) knowledge representation (1)

Papers

LOFT: Scalable and More Realistic Long-Context Evaluation NAACL 2025
A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings ICML 2025
A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks ICML 2024
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures ACL 2024
Learning Representations for Hierarchies with Minimal Support NIPS 2024
Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings ACL 2022
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings NIPS 2022
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity AAAI 2022
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings ICLR 2022
Box-To-Box Transformations for Modeling Joint Hierarchies ACL 2021
Modeling Fine-Grained Entity Types with Box Embeddings ACL 2021
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs NIPS 2021
Box Embeddings: An open-source library for representation learning using geometric structures EMNLP 2021
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning NAACL 2021
Box-To-Box Transformations for Modeling Joint Hierarchies IJCNLP 2021
Min/max stability and box distributions UAI 2021
Modeling Fine-Grained Entity Types with Box Embeddings IJCNLP 2021
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning EMNLP 2020
Improving Local Identifiability in Probabilistic Box Embeddings NIPS 2020
Smoothing the Geometry of Probabilistic Box Embeddings ICLR 2019
An Interface for Annotating Science Questions EMNLP 2018
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset ACL 2018