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ENTITY Esteban Garces Arias

Esteban Garces Arias

PulseAugur coverage of Esteban Garces Arias — every cluster mentioning Esteban Garces Arias across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_128611 ·

    AI models systematically exclude human-like token choices, study finds

    A new research paper, "The Truncation Blind Spot," published on arXiv, reveals that standard decoding strategies used in text generation models systematically exclude human-like token choices. These strategies, includin…

  2. TOOL · CL_104741 ·

    AI pipeline automates cuneiform sign detection on ancient tablets

    Researchers have developed a new end-to-end cuneiform OCR pipeline utilizing a Deformable Detection Transformer (DETR) model to automate sign detection on ancient tablets. This system integrates tablet-side extraction, …

  3. TOOL · CL_104656 ·

    New VCM technique combats LLM repetition and dullness

    Researchers have introduced Variance-Calibrated Modulation (VCM), a novel technique designed to improve the open-ended generation capabilities of large language models (LLMs). VCM addresses the common issue of LLMs fall…

  4. TOOL · CL_53803 ·

    Deep Learning Framework Analyzes Grammatical Gender Shift in Romance Languages

    Researchers have developed an interpretable deep learning framework to study the evolution of grammatical gender from Latin to Occitan. The study addresses challenges in low-resource historical linguistics by proposing …

  5. RESEARCH · CL_43572 ·

    New research defines 'Hyperfitting' in LLMs, distinct from temperature scaling

    A new research paper introduces the concept of "Hyperfitting," a phenomenon where fine-tuning large language models on small datasets surprisingly improves generation quality and reduces repetition. The study demonstrat…

  6. RESEARCH · CL_06898 ·

    New RDDG framework uses Bayesian calibration for rare relational data synthesis

    Researchers have introduced RDDG, a novel framework designed to generate synthetic tabular data for imbalanced datasets. This approach utilizes in-context learning and a progressive chain-of-thought process to identify …