HyperPersona is a hypergraph framework that jointly models document, sentence, and word levels of text via hyperedges and nodes, then uses a transformer graph encoder to predict Big Five personality traits from text alone.
Pytorch: An imperative style, high-performance deep learning library
3 Pith papers cite this work. Polarity classification is still indexing.
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SDXL improves upon prior Stable Diffusion versions through a larger UNet backbone, dual text encoders, novel conditioning, and a refinement model, producing higher-fidelity images competitive with black-box state-of-the-art generators.
Putri is a structured pruning technique for LLMs that compensates for pruning errors via weight updates and sequential processing while pruning at the attention-head level to reach state-of-the-art results at extreme sparsity.
citing papers explorer
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HyperPersona: A Multi-Level Hypergraph Framework for Text-Based Automatic Personality Prediction
HyperPersona is a hypergraph framework that jointly models document, sentence, and word levels of text via hyperedges and nodes, then uses a transformer graph encoder to predict Big Five personality traits from text alone.
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SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
SDXL improves upon prior Stable Diffusion versions through a larger UNet backbone, dual text encoders, novel conditioning, and a refinement model, producing higher-fidelity images competitive with black-box state-of-the-art generators.
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Prune, Update and Trim: Robust Structured Pruning for Large Language Models
Putri is a structured pruning technique for LLMs that compensates for pruning errors via weight updates and sequential processing while pruning at the attention-head level to reach state-of-the-art results at extreme sparsity.