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IQuest Research
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Grounded reasoning from 2D images can dramatically enhance 3D medical VQA performance, revealing the power of cross-dimensional learning.
LLM agents can have their proprietary skills stolen with just 3 interactions, exposing a major copyright vulnerability in the burgeoning skill marketplace.
By dynamically focusing on pathological regions and incorporating retinal anatomical knowledge, this glaucoma screening framework achieves state-of-the-art accuracy and robustness across diverse clinical datasets.
GPT-5 isn't always the smartest student: Qwen-Plus outshines it in Chinese CS certification exams, revealing critical cross-lingual performance gaps in LLMs.
A shockingly small number of poisoned, synthetically distilled data points can completely hijack a model during transfer learning, turning it into an unwitting accomplice.
