Michael Boratko

1. On the Theoretical Limitations of Embedding-Based Retrieval
   2025/08/28 by Orion Weller, Michael Boratko, Weller, Orion +5 · 22 voices · 40 citations
   #cs.IR #cs.CL #cs.LG
2. Gecko: Versatile Text Embeddings Distilled from Large Language Models
   2024/03/29 by Jinhyuk Lee, Lee, Jinhyuk, Zhuyun Dai +41 · 1 voice · 16 citations
   Computer Science · Environmental Science · #Advanced Text Analysis Techniques #Species Distribution and Climate Change #Topic Modeling #cs.AI #cs.CL
3. A Systematic Classification of Knowledge, Reasoning, and Context within\n the ARC Dataset
   2018/06/01 by Michael Boratko, Harshit Padigela, Boratko, Michael +23 · 8 citations
   Computer Science · Biochemistry, Genetics and Molecular Biology · #Topic Modeling #Natural Language Processing Techniques #Biomedical Text Mining and Ontologies
4. Gemini Embedding: Generalizable Embeddings from Gemini
   2025/03/10 by Jinhyuk Lee, Lee, Jinhyuk, Feiyang Chen +90 · 31 citations
   Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Language and cultural evolution
5. Improving Local Identifiability in Probabilistic Box Embeddings
   2020/10/09 by Shib Sankar Dasgupta, Michael Boratko, Dasgupta, Shib Sankar +9 · 2 citations
   Computer Science · #Algorithms and Data Compression #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
6. EmbeddingGemma: Powerful and Lightweight Text Representations
   2025/09/24 by Henrique Schechter Vera, Sahil Dua, Vera, Henrique Schechter +169 · 20 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
7. Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning
   2021/04/09 by Xuelu Chen, Chen, Xuelu, Michael Boratko +9 · 2 citations
   Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
8. Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
   2024/06/19 by Jinhyuk Lee, Anthony Chen, Lee, Jinhyuk +35 · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Natural Language Processing Techniques #Topic Modeling
9. Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini
   2026/05/26 by Madhuri Shanbhogue, Zhe Li, Shanfeng Zhang +86 · 3 voices
   #cs.CV
10. Modeling Fine-Grained Entity Types with Box Embeddings
    2021/01/02 by Yasumasa Onoe, Michael Boratko, Onoe, Yasumasa +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Natural Language Processing Techniques #Topic Modeling
11. Box Embeddings: An open-source library for representation learning using\n geometric structures
    2021/09/10 by Tejas Chheda, Purujit Goyal, Chheda, Tejas +11 · 1 citation
    Computer Science · Mathematics · #Computation and Language (cs.CL) #Digital Imaging for Blood Diseases #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Morphological variations and asymmetry #Natural Language Processing Techniques #Topic Modeling