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This work introduces GitScholar, a novel dataset that links GitHub activity from 444,000 repositories to over 558,000 AI arXiv papers and finds that GitHub signal offers near-complete coverage of high-impact AI papers, and consistently correlates with future academic success.
Wyvern is proposed, a multi-agent framework for the automated generation of grounded, multimodal technical reports, allowing for the generation of multimodal outputs, integrating images, tables, and text with supporting references in a unified report.
FLINT is proposed, a workload-driven HBF substrate for capacity-scalable LLM inference that integrates HBF as a memory-capacity tier alongside HBM while addressing three adoption challenges.
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