Amirhossein Yousefiramandi
PulseAugur coverage of Amirhossein Yousefiramandi — every cluster mentioning Amirhossein Yousefiramandi across labs, papers, and developer communities, ranked by signal.
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Deep RL optimizes coded caching for deadline-driven applications
Researchers have developed a deep reinforcement learning approach to optimize coded caching for deadline-constrained applications like video streaming. Their policy network, trained using proximal policy optimization, s…
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New research explores LLM-based patent analysis and benchmarking
Two new research papers explore methods for improving patent representation learning using large language models. The first paper introduces PHAGE, a novel encoder that uses heterogeneous dependency graphs to better cap…
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Synthetic LLM data boosts patent classification, but volume is key
A new research paper investigates the effectiveness of synthetic data generated by large language models for low-resource multi-label patent classification. The study found that while synthetic data can significantly bo…