Privacy International's recommendations for improving transparency and explainability for algorithmic decisions at work, including concrete and detailed examples of ...
Abstract: Boolean satisfiability (SAT), a non-deterministic polynomial (NP)-complete problem, has gained increasing attention with applications in artificial intelligence, machine learning, electronic ...
1 Department of Computer Science & Engineering, World University of Bangladesh, Dhaka, Bangladesh. 2 School of Business, Bangladesh Open University (BOU), Dhaka, Bangladesh. This experimental study ...
The growing adoption of large language models (LLMs) in enterprise workflows has introduced a new class of adversarial techniques: indirect prompt injection. Indirect prompt injection can be used ...
New diffusion AI models that make songs from scratch are complicating our definitions of authorship and human creativity. The end of this story includes samples of AI-generated music. Artificial ...
Film critic and trade analyst Taran Adarsh shared his thoughts on the belief within the film industry that films released during festivals or holidays are more likely to achieve box-office success. He ...
This repo provides the codebase for paper "[ICML 2024] A General Framework for Learning from Weak Supervision" [GLWS]. It accomidates 14+ weak supervision settings, with baselines implemented and ...
Algorithms have taken on an almost mythical significance in the modern world. They determine what you see on social media and when browsing online, help form people’s belief systems, and impact the ...
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