A new type of symbolic logic can identify the deep structure of a client's emotional reasoning and reveal potential points of ...
Higher education students are rapidly adopting AI for complex problem-solving, but limitations in context and accuracy demand careful verification. New reasoning modes like GPT‑5.4 Thinking are ...
An imaginative and philosophical tale explores creation, belief, and morality through an unexpected conversation with a talking spider. NEW YORK CITY, NY, UNITED ...
Let's be honest, we're all drama queens sometimes. Whether you're texting your bestie you're “literally dying” over the latest celebrity gossip or declaring on social media that Monday mornings are ...
Reinforcement learning with verifiable rewards (RLVR) has achieved remarkable success in logical reasoning tasks, yet whether large language model (LLM) alignment requires fundamentally different ...
Dujmović (1) raises concerns about our recent finding that large reasoning models (LRMs) and humans show similar patterns of processing effort across diverse reasoning tasks (2). We welcome the ...
Abstract: Large language models (LLMs) have emerged as promising tools for automated vulnerability detection (VD), yet their effectiveness is strongly shaped by prompt design and input representation.
In this tutorial, we dive deep into how we systematically benchmark agentic components by evaluating multiple reasoning strategies across diverse tasks. We explore how different architectures, such as ...
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