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A benchmark of expert-level academic questions to assess AI capabilities
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are …
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A benchmark of expert-level academic questions to assess AI capabilities
The role of low-complexity repeats in RNA-RNA interactions and a deep learning framework for duplex prediction
RNA-RNA interactions (RRIs) are fundamental to gene regulation and RNA processing, yet their molecular determinants remain unclear. In …
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The role of low-complexity repeats in RNA-RNA interactions and a deep learning framework for duplex prediction
ResiDual Transformer Alignment with Spectral Decomposition
When examined through the lens of their residual streams, a puzzling property emerges in transformer networks: residual contributions …
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ResiDual Transformer Alignment with Spectral Decomposition
Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions
Large Language Models (LLMs) represent a significant advancement in artificial intelligence, finding applications across various …
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Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions
Graph Kernel Neural Networks
The convolution operator at the core of many modern neural architectures can effectively be seen as performing a dot product between an …
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Graph Kernel Neural Networks
Latent spectral regularization for continual learning
While biological intelligence grows organically as new knowledge is gathered throughout life, Artificial Neural Networks forget …
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Latent spectral regularization for continual learning
A Physically-inspired Approach to the Simulation of Plant Wilting
Plants are among the most complex objects to be modeled in computer graphics. While a large body of work is concerned with structural …
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A Physically-inspired Approach to the Simulation of Plant Wilting
ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training
CLIP proved that aligning visual and language spaces is key to solving many vision tasks without explicit training, but required to …
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ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training
Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation
The marine ecosystem is changing at an alarming rate, exhibiting biodiversity loss and the migration of tropical species to temperate …
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Fish sounds: towards the evaluation of marine acoustic biodiversity through data-driven audio source separation
Bootstrapping Parallel Anchors for Relative Representations
The use of relative representations for latent embeddings has shown potential in enabling latent space communication and zero-shot …
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Bootstrapping Parallel Anchors for Relative Representations