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Found 3 papers, 1 papers with code
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
Assessing response quality to instructions in language models is vital but challenging due to the complexity of human language across different contexts.
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner
This pioneering work lays the groundwork for future research in semi-supervised learning for referring expression segmentation.
Curator: Efficient Indexing for Multi-Tenant Vector Databases
Vector databases have emerged as key enablers for bridging intelligent applications with unstructured data, providing generic search and management support for embedding vectors extracted from the raw unstructured data.
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