<?xml version="1.0" encoding="UTF-8"?>
<urlset
  xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
  xmlns:news="http://www.google.com/schemas/sitemap-news/0.9">
  <url>
    <loc>https://hackobar.com/item/reddit-built-a-structured-adversarial-debate-layer-for-multi-agent--c8e5</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Built a structured adversarial debate layer for multi-agent decision systems, sharing architecture and open questions [P]</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-month-later-qubic-still-reads-to-me-like-an-unresolved-compu-f496</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Month later, qubic still reads to me like an unresolved compute-access experiment</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-i-am-not-an-anti-like-this-guy-but-still-an-interesting-vide-1ac2</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>I am not an "anti" like this guy, but still an interesting video of person interacting with chat 4o</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-anthropic-researchers-detail-model-spec-midtraining-which-ad-edf0</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Anthropic researchers detail “model spec midtraining”, which adds a stage between pretraining and fine-tuning to improve generalization from alignment training</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-single-position-intervention-fails-distributed-output-templa-06b1</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Single-Position Intervention Fails: Distributed Output Templates Drive In-Context Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-adapt-to-thrive-adaptive-power-mean-policy-optimization-for--675c</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-covariance-aware-goodness-for-scalable-forward-forward-learn-298f</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Covariance-Aware Goodness for Scalable Forward-Forward Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-improving-medical-vqa-through-trajectory-aware-process-super-8077</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Improving Medical VQA through Trajectory-Aware Process Supervision</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-endogenous-regime-switching-driven-by-scalar-irreducible-lea-1c9b</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Endogenous Regime Switching Driven by Scalar-Irreducible Learning Dynamics</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-free-energy-driven-reinforcement-learning-with-adaptive-adva-8677</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-a-consistency-centric-approach-to-set-based-optimization-wit-7274</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>A Consistency-Centric Approach to Set-Based Optimization with Multiple Models of Unranked Fidelity</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-lcm-lossless-context-management-5ef0</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>LCM: Lossless Context Management</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-a-self-attentive-meta-optimizer-with-group-adaptive-learning-3d61</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>A Self-Attentive Meta-Optimizer with Group-Adaptive Learning Rates and Weight Decay</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-lookahead-drifting-model-84dd</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Lookahead Drifting Model</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-mp-ismoe-mixed-precision-interactive-side-mixture-of-experts-5466</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-edgerazor-a-lightweight-framework-for-large-language-models--36fd</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>EdgeRazor: A Lightweight Framework for Large Language Models via Mixed-Precision Quantization-Aware Distillation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-a-provably-convergent-and-practical-algorithm-for-gromov-was-b9b0</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>A Provably Convergent and Practical Algorithm for Gromov--Wasserstein Optimal Transport</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-investigating-trustworthiness-of-nonparametric-deep-survival-7714</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Investigating Trustworthiness of Nonparametric Deep Survival Models for Alzheimer's Disease Progression Analysis</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-continual-distillation-of-teachers-from-different-domains-f32d</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Continual Distillation of Teachers from Different Domains</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-a-regulatory-governance-framework-for-ai-driven-financial-fr-77b4</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>A Regulatory Governance Framework for AI-Driven Financial Fraud Detection in U.S. Banking: Integrating OCC, SR 11-7, CFPB, and FinCEN Compliance Requirements for Model Development, Validation, and Monitoring Lifecycles</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-efficient-handwriting-based-alzheimers-disease-diagnosis-usi-e6c5</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Efficient Handwriting-Based Alzheimer,s Disease Diagnosis Using a Low-Rank Mixture of Experts Deep Learning Framework</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-connecting-online-criminal-behavior-with-machine-learning-us-0538</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Connecting online criminal behavior with machine learning: Using authorship attribution to analyze and link potential online traffickers</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-balanced-aggregation-understanding-and-fixing-aggregation-bi-3765</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Balanced Aggregation: Understanding and Fixing Aggregation Bias in GRPO</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-a-physics-aware-framework-for-short-term-gpu-power-forecasti-cbcd</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>A Physics-Aware Framework for Short-Term GPU Power Forecasting of AI Data Centers</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-laws-learning-from-actual-workloads-symbolically-a-self-cert-30a8</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>LAWS: Learning from Actual Workloads Symbolically -- A Self-Certifying Parametrized Cache Architecture for Neural Inference, Robotics, and Edge Deployment</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-structural-equivalence-and-learning-dynamics-in-delayed-marl-5bbe</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Structural Equivalence and Learning Dynamics in Delayed MARL</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-confronting-label-indeterminacy-in-automated-bail-decisions-a0e0</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Confronting Label Indeterminacy in Automated Bail Decisions</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-sparse-autoencoder-decomposition-of-clinical-sequence-model--af1d</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Sparse Autoencoder Decomposition of Clinical Sequence Model Representations: Feature Complexity, Task Specialisation, and Mortality Prediction</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-designing-a-double-deep-reinforcement-learning-selection-too-a0bd</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Designing a double deep reinforcement learning selection tool for resilient demand prediction</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-constrained-extreme-gradient-boosting-for-adapting-reduced-o-1384</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Constrained Extreme Gradient Boosting for Adapting Reduced-Order Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-validity-calibrated-reasoning-distillation-4f7a</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Validity-Calibrated Reasoning Distillation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-flatascend-autoregressive-clinical-sequence-generation-with--dffb</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>FlatASCEND: Autoregressive Clinical Sequence Generation with Continuous Time Prediction and Association-Based Pharmacological Testing</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-retentivekv-state-space-memory-for-uncertainty-aware-multimo-7894</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>RetentiveKV: State-Space Memory for Uncertainty-Aware Multimodal KV Cache Eviction</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-time-series-causal-discovery-with-variable-lags-2d83</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Time series causal discovery with variable lags</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-hercules-hardware-efficient-robust-continual-learning-neural-22e1</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>HERCULES: Hardware-Efficient, Robust, Continual Learning Neural Architecture Search</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-simultaneous-cnn-approximation-on-manifolds-with-application-2860</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Simultaneous CNN Approximation on Manifolds with Applications to Boundary Value Problems</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-regularized-centered-emphatic-temporal-difference-learning-b22b</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Regularized Centered Emphatic Temporal Difference Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-transformation-categorization-based-on-group-decomposition-t-6867</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Transformation Categorization Based on Group Decomposition Theory Using Parameter Division</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-learning-reveals-invisible-structure-in-low-rank-rnns-8254</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Learning reveals invisible structure in low-rank RNNs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-perturbation-is-all-you-need-for-extrapolating-language-mode-0ccf</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Perturbation is All You Need for Extrapolating Language Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-hierarchical-visual-agent-managing-contexts-in-joint-image-t-a217</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Hierarchical Visual Agent: Managing Contexts in Joint Image-Text Space for Advanced Chart Reasoning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-position-the-stochastic-parrot-in-the-coal-mine-model-collap-65e8</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-asymmetryzero-a-framework-for-operationalizing-human-expert--39e1</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>AsymmetryZero: A Framework for Operationalizing Human Expert Preferences as Semantic Evals</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-mucald-splitfed-causal-latent-diffusion-for-privacy-preservi-1b7f</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>MuCALD-SplitFed: Causal-Latent Diffusion for Privacy-Preserving Multi-Task Split-Federated Medical Image Segmentation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-are-multimodal-llms-ready-for-clinical-dermatology-a-real-wo-4e3e</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Are Multimodal LLMs Ready for Clinical Dermatology? A Real-World Evaluation in Dermatology</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-memory-as-a-markov-matrix-sample-efficient-knowledge-expansi-bacd</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Memory as a Markov Matrix: Sample Efficient Knowledge Expansion via Token-to-Dictionary Mapping</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-fasq-flexible-accelerated-subspace-quantization-for-calibrat-34df</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>FASQ: Flexible Accelerated Subspace Quantization for Calibration-Free LLM Compression</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-enhancing-the-interpretability-of-spatially-variable-n2o-mod-e348</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Enhancing the interpretability of spatially variable N2O model predictions with soft sensors during wastewater treatment</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-structured-progressive-knowledge-activation-for-llm-driven-n-6622</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-medfabric-and-ether-a-data-centric-framework-for-word-level--a077</loc>
    <news:news>
      <news:publication>
        <news:name>Hackobar</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-05-07</news:publication_date>
      <news:title>MedFabric and EtHER: A Data-Centric Framework for Word-Level Fabrication Generation and Detection in Medical LLMs</news:title>
    </news:news>
  </url>
</urlset>