Search papers, labs, and topics across Lattice.
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HyperTrust redefines hypergraph learning by effectively managing label noise, achieving robust performance where traditional methods falter.
MobiWave achieves superior fleet rebalancing by intelligently separating traffic patterns and adapting to mobility drift, outperforming traditional approaches in both efficiency and reliability.
Entity embeddings outperform traditional encoding methods in high-cardinality fraud detection, achieving a record AUC-ROC score that could redefine best practices in the field.
Early behavioral indicators can drastically improve churn prediction, but their effectiveness hinges on cohort design and feature selection.
Comparison-based supervision can drastically enhance reasoning quality in medical AI, outperforming traditional reward systems.
Achieving superior accuracy-efficiency trade-offs, ParetoPO redefines how tool-integrated agents can be optimized for real-world applications.
Stop relying on LLMs to "hallucinate" reasoning paths – SEARCH-R uses a fine-tuned Llama3.1-8B model and dependency tree-based retrieval to navigate multi-hop question answering more reliably.
LLMs can generate better features from tabular data when deployed as a multi-agent system with explicit memory of past procedures, feedback, and concepts.
Achieve an 8x speedup in chest X-ray report generation without sacrificing clinical accuracy by distilling multi-step diffusion into a single, efficient step.
Forget independent feature extraction: a new architecture uses LVLMs to explicitly model the relationships between drone and satellite imagery, substantially boosting geolocalization accuracy.
Imagine designing custom fonts simply by describing them or providing a reference image – VecGlypher makes it a reality by directly generating editable vector glyphs with a single multimodal language model.
