Understanding real-world videos with complex semantics and long temporal dependencies remains a fundamental challenge in computer vision. Recent progress in multimodal large language models (MLLMs) ...
Abstract: Data scarcity presents a significant challenge in developing medical large language models (LLMs), especially in specialized fields like anesthesiology. Leveraging advanced LLMs like ChatGPT ...
The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.
Many remote jobs now pay over $48 hourly. From tech to finance, these in-demand roles offer high incomes and rewarding and ...
Abstract: The large language model (LLM)-based knob tuning method has attracted considerable attention due to its excellent in-context learning ability and generalizability. However, the existing ...
GridFree AI taps Newmark as exclusive advisor and marketer for "South Dallas One," the first site in a three-location cluster delivering rapid speed to power, scalable AI infrastructure, and local ...
Findings showed treatment with rucaparib significantly improved rPFS compared with physician’s choice of treatment. The Food and Drug Administration (FDA) has granted traditional approval to Rubraca ® ...
This project investigates token quality from a noisy-label perspective and propose a generic token cleaning pipeline for SFT tasks. Our method filters out uninformative tokens while preserving those ...
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