Reasoning with Confidence: Efficient Verification of LLM Reasoning via Uncertainty Heads
Large language models can tackle complex reasoning tasks, but they don't always get it rig
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Scalable Synthesis of Distributed LLM Workloads via Symbolic Tensor Graphs (STAGE)
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Self-Evaluating LLMs for Multi-Step Tasks: Stepwise Confidence Estimation
Large language models have become remarkably capable at complex reasoning, but knowing whe
Understanding Latent Diffusion Models: How Stable Diffusion Actually Works
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Deep Parameter-Level Understanding: How Input Flows Through a Trained Language Model
Modern language models like Phi-3 or LLaMA are often treated as black boxes — you fe
The Probability Game: Why AI Dominance Follows the Internet Playbook
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Quantum Echoes Simple
Quantum Echoes: Google's Super-Fast Computer Just Got Way Smarter What Happened? Google ju
Markovian Thinking: A Breakthrough in LLM Reasoning Efficiency
Researchers from Mila, Microsoft Research, and McGill University have developed a breakthr
Did Imagen really achieve something new, or did others already publish similar work, and Google is just taking credit for polishing it?
Before Imagen came out in May 2022, models like DALL·E, GLIDE, and Latent Diff