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Tag: parameter-efficient fine-tuning

  • Abstract digital illustration of luminous blue particles clustered into two connected nebula-like formations on a dark background
    Artificial Intelligence

    AI Refines Text Style with Limited Training Data

    by Muhammad Rohail T.February 18, 2026
  • Large Language Models Show Promise for USPTO 70k Patent Classification Tasks
    Artificial Intelligence

    LLMs Boost USPTO Patent Classification

    by Muhammad Rohail T.February 4, 2026
  • Shows Peft-Muts Improves Remaining Useful Life Prediction with Cross-Domain Time Series Data
    Machine Learning

    PEFT-MuTS Predicts Equipment Life with Time Series Data

    by Muhammad Rohail T.February 4, 2026
  • Machine Learning Achieves Top Performance on 4 Medical Datasets, Study Finds
    Artificial Intelligence

    Machine Learning Tops Medical Data Performance Study

    by Muhammad Rohail T.January 28, 2026
  • Fine-tuning Tabular Foundation Models Achieves Strong Zero-Shot Performance on Structured Data
    Machine Learning

    Tabular Models: Zero-Shot Performance on Structured Data

    by Muhammad Rohail T.January 20, 2026
  • Owlv2 Vision-Language Model Advances Crater Detection to 94.0% Accuracy
    Space

    Lunar Crater Detection: 94% Accuracy with Owlv2

    by Muhammad Rohail T.January 14, 2026
  • Diffusion Models Achieve Universal Few-shot Learning for Dense Tasks
    Machine Learning

    Diffusion Models Enable Few-shot Learning for Dense Tasks

    by Muhammad Rohail T.January 6, 2026
  • Large Language Models Memorize Supreme Court Cases, Demonstrating Complex Classification Abilities
    Artificial Intelligence

    LLMs Classify Supreme Court Cases with Accuracy

    by Muhammad Rohail T.December 17, 2025
  • Semantic Soft Bootstrapping Enables Long Context Reasoning in LLMs Without Reinforcement Learning, Achieving Gains over 10.6% and 10%
    Artificial Intelligence

    LLM Reasoning Boosted by Semantic Soft Bootstrapping

    by Muhammad Rohail T.December 5, 2025
  • Accent Placement Models for Rigvedic Sanskrit Achieve Fidelity Using ByT5 and BiLSTM-CRF
    Emerging Technology

    Sanskrit Accent Restoration with ByT5 & BiLSTM-CRF

    by Muhammad Rohail T.December 1, 2025
  • Researchers Boost LLM Fine-tuning with 601 Parameters and QR Decomposition for 77x Gains
    Artificial Intelligence

    LLM Fine-tuning with 601 Parameters & QR Decomposition

    by Dr. DonovanSeptember 2, 2025
  • Efficient AI Fine-tuning: New Method Decouples Direction and Magnitude Adaptation.
    Artificial Intelligence

    AI Fine-tuning: MAP Decouples Direction & Magnitude

    by Dr. DonovanJune 2, 2025
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