LLM answers vary widely. Here’s how to extract repeatable structural, conceptual, and entity patterns to inform optimization ...

Meta on Wednesday debuted an AI feature called "Dear Algo" that lets Threads users personalize their content-recommendation algorithms. Threads users will be able to tell the Dear Algo tool what kinds ...

OpenAI may have called GPT-5.2 its "most advanced frontier model for professional work," but tests conducted by the Guardian cast doubt on its credibility. According to the report, OpenAI's GPT-5.2 ...

Last month, Instagram began rolling out a new set of controls that allowed users to personalize the topics recommended to them by the Reels algorithm. Now, Meta is making that feature available to all ...

Abstract: Latent Dirichlet Allocation is a classic topic model which can extract latent topic from large data corpus. This model assumes that if a document is relevant to a topic, then all tokens in ...

This project implements adversarial attacks (HotFlip, TextFooler) and defense mechanisms (Adversarial Training, Defensive Distillation) on BERT models for text classification using the AG News dataset ...

TikTok’s algorithm favors mental health content over many other topics, including politics, cats and Taylor Swift, according to a Washington Post analysis. At first, the mental health-related videos ...

Abstract: Category imbalance remains a pervasive challenge in multi-label text classification tasks. With the rapid development of large-scale pre-trained language models, the task of news topic ...

While many low-income countries (LICs) have built good momentum since 2000, they still face numerous macroeconomic challenges and vulnerabilities. For instance, LICs are currently facing a crisis like ...

TikTok creators know that followers aren't just numbers on a screen they’re the engine driving the platform's entire mechanism. In TikTok’s algorithm no longer revolves around chasing viral moments or ...