Showing 1–17 of 17 results
/ Date/ Name
Sep 10, 2021Box Embeddings: An open-source library for representation learning using geometric structuresOct 9, 2020Improving Local Identifiability in Probabilistic Box EmbeddingsJun 28, 2021Word2Box: Capturing Set-Theoretic Semantics of Words using Box EmbeddingsJun 1, 2018A Systematic Classification of Knowledge, Reasoning, and Context within the ARC DatasetMay 2, 2020ProtoQA: A Question Answering Dataset for Prototypical Common-Sense ReasoningApr 9, 2021Probabilistic Box Embeddings for Uncertain Knowledge Graph ReasoningJan 2, 2021Modeling Fine-Grained Entity Types with Box EmbeddingsMar 29, 2024Gecko: Versatile Text Embeddings Distilled from Large Language ModelsJan 9, 2026Autoregressive Ranking: Bridging the Gap Between Dual and Cross EncodersAug 28, 2025On the Theoretical Limitations of Embedding-Based RetrievalSep 3, 2024A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector NetworksFeb 5, 2026Mining Generalizable Activation FunctionsMar 10, 2025Gemini Embedding: Generalizable Embeddings from GeminiJun 19, 2024Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?Jun 6, 2024Every Answer Matters: Evaluating Commonsense with Probabilistic MeasuresFeb 15, 2025A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box EmbeddingsSep 24, 2025EmbeddingGemma: Powerful and Lightweight Text Representations