A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...
Researchers from EPFL, AMD, and the University of Novi Sad have uncovered a long-standing inefficiency in the algorithm that programs millions of reconfigurable chips used worldwide, a discovery that ...
8dOpinion
Learning The Most Rigorous Approaches To Validating Algorithms And Greatly Boosting AI Safety
Validating AI is increasingly getting societal attention. AI safety has been a low priority. No more. I explore validation as ...
Abstract: Text-to-image diffusion models have demonstrated remarkable progress in synthesizing high-quality images from text prompts, which boosts researches on prompt-based image editing that edits a ...
High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
Abstract: Visual Question Answering (VQA) is a challenging multimodal task that requires models to generate accurate, freeform answers based on both visual and textual inputs. While Multimodal Large ...
Welcome to my personal competitive programming learning repository! Here I document everything I learn — from basic algorithms to advanced data structures, along with daily practice codes.
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