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Tag: In-Context Learning

  • AI Agent Learns to Autonomously Respond to Cyberattacks Using Existing Knowledge
    Artificial Intelligence

    AI Agents Counter Cyberattacks with Quantum LLM

    by Muhammad Rohail T.February 17, 2026
  • Varparser Reveals How LLM Log Parsing Benefits from Variable Data
    Artificial Intelligence

    LLM Log Parsing: Varparser & Variable Data Context

    by Muhammad Rohail T.February 9, 2026
  • Gemma 2 Models Reveal Dichotomy in Representational Straightening Within Context
    Machine Learning

    Gemma 2: Linearization & Complexity Dichotomy

    by Muhammad Rohail T.February 4, 2026
  • Memctrl Achieves 16% Embodied Agent Performance Boost with Active Memory Control
    Artificial Intelligence

    MemCtrl: 16% Agent Boost with Active Memory Control

    by Muhammad Rohail T.February 2, 2026
  • Sicl-At Advances Auditory LLM Performance on Low-Resource Tasks with ICL
    Machine Learning

    Sicl-At Boosts Speech AI on Low-Resource Tasks

    by Muhammad Rohail T.January 29, 2026
  • Unsupervised Learning Achieves Efficient Exploration Via Self-Imposed Goals for Zero-Shot Tasks
    Machine Learning

    ULEE: Self-Imposed Goals Boost Zero-Shot Learning

    by Muhammad Rohail T.January 29, 2026
  • Reflect Achieves Constitutional Alignment for Large Language Models Without Training Data
    Artificial Intelligence

    Reflect: LLM Alignment Without Training Data

    by Muhammad Rohail T.January 29, 2026
  • Deepseek-R1-Distill-Llama-70b Achieves 12-Dataset Benchmark for Causal Discovery
    Machine Learning

    Deepseek-R1 Distills Llama 70b for Causal Discovery

    by Muhammad Rohail T.January 27, 2026
  • Diffusion Large Language Models Achieve Black-Box Optimisation with Limited Labeled Data
    Machine Learning

    LLM Diffusion Models Optimize with Limited Data

    by Muhammad Rohail T.January 24, 2026
  • Generative AI Collective Behaviour: New Interactionist Paradigm Advances Understanding of Multi-Generative Systems
    Artificial Intelligence

    AI Behavior: Interactionist Paradigm for LLMs

    by Muhammad Rohail T.January 20, 2026
  • Unlabeled Data Achieves Provable Gains in Transformer In-Context Learning Performance
    Machine Learning

    Transformers: Unlabeled Data Boosts In-Context Learning

    by Muhammad Rohail T.January 19, 2026
  • Large Language Models Achieve 90% Success in Autonomous Quantum Simulation
    Physics

    LLM AI Achieves 90% Quantum Simulation Success

    by Muhammad Rohail T.January 19, 2026
  • Thetaevolve Simplifies Test-time Learning, Extending AlphaEvolve with a Single LLM to Continually Improve Open Optimization Problems
    Artificial Intelligence

    ThetaEvolve: LLM-Powered Test-Time Learning

    by Muhammad Rohail T.December 2, 2025
  • Few-shot Examples Enhance LLM-based Code Vulnerability Detection, Improving Performance with In-Context Learning
    Artificial Intelligence

    LLM Code Security: Few-Shot Learning Boosts Detection

    by Muhammad Rohail T.November 7, 2025
  • Cross-cultural Commonsense Reasoning in LLMs Improves with 12 Culture-Specific Examples
    Artificial Intelligence, Quantum Research News

    LLMs: Culture-Specific Examples Boost Reasoning

    by Muhammad Rohail T.September 26, 2025
  • LLMs Boost Health Sentiment Analysis, Overcome Data Limits
    Artificial Intelligence

    LLMs Boost Health Sentiment Analysis, Overcome Data Limits

    by Dr. DonovanAugust 21, 2025
  • MIT Boosts LLM Accuracy Sixfold with Test-Time Training
    Artificial Intelligence

    MIT Boosts LLM Accuracy Sixfold with Test-Time Training

    by Dr. DonovanJuly 13, 2025
  • MIT Boosts LLM Accuracy Sixfold with Test-Time Training
    Artificial Intelligence

    MIT Boosts LLM Accuracy Sixfold with Test-Time Training

    by Dr. DonovanJuly 10, 2025
  • Large Language Models Predict Traffic Impact From Incident Reports Now
    Artificial Intelligence

    LLMs Predict Traffic From Incident Reports

    by Dr. DonovanJuly 9, 2025
  • Transformers: A Novel Framework for Efficient Uncertainty Quantification Using In-Context Learning & Conformal Prediction
    Artificial Intelligence

    Transformers: Uncertainty Quantification with In-Context

    by Dr. DonovanApril 24, 2025
  • Apple MM1: A New Frontier in Multimodal Large Language Models From Tech Giant Can Scale to 30 Billion Parameters
    Artificial Intelligence

    Apple MM1: 30B Parameter Multimodal LLM

    by Rusty FlintMarch 17, 2024
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