<?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/arxiv-legit-credentialing-protocol-for-trustworthy-ai-agent-market-2d66</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>LEGIT Protocol Provides Verifiable Credentials for AI Agent Marketplaces</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-coal-sql-coverage-guided-augmentation-and-failure-driven-lea-f235</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>COAL-SQL Framework Uses Coverage-Guided Augmentation for Text-to-SQL Training</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-steering-llms-responses-towards-moral-foundations-on-the-nor-b14b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>Prompt and Activation-Level Steering Moves LLMs Toward Target Moral Profiles</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-in-september-ai-generated-code-has-made-up-1725-of-all-linux-7028</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>AI-Generated Code Comprises 17.25% of Linux Kernel Patches in September</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-calr-causal-latent-revision-for-robust-diffusion-reasoning-af67</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>CaLR Framework Enables Robust Reasoning in Diffusion Language Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-dual-interest-sequential-product-recommendation-with-multi-g-d634</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>DSRec Cross-SSM Model for Dual-Interest Sequential Recommendation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-beyond-reference-based-evaluation-reward-models-for-meta-eva-2d8c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>RM-EVAL Reference-Free Reward Model for Grammatical Error Correction</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-mirage-multi-perspective-creative-language-model-reasoning-w-c482</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>MIRAGE Framework Enhances Reasoning via Multi-Perspective Agent Guidance</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-kev-tiny-jev-like-family-of-decision-models-built-on-top-of--390d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>Kev Decision Models Built on Qwen3.5 with TypeSafe API Compatibility</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-mini-agi-dynamically-grown-530m-params-currently-and-growing-784a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>Mini-AGI Continual Learning Model Trained on Consumer Hardware</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-geometry-of-values-task-vector-composition-for-ethical-prefe-3392</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>Task Vector Composition Mitigates Ethical Bias in LLMs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-physiobench-a-unified-benchmark-for-physiological-signal-que-c6f7</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>PhysioBench Harmonizes 22 Datasets for Physiological Signal Question Answering</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-polybridgebench-benchmarking-multimodal-llms-for-physics-gro-06c4</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>PolyBridgeBench Evaluates MLLM Performance in Physics-Grounded Structural Design</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-efficient-benchmarking-in-production-a-study-of-an-evolving--3908</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>Efficient Production Agent Evaluation via Multidimensional 2PL Adaptive Testing</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-the-communication-bottleneck-a-round-trip-study-of-tree-stru-c6c8</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>Asymmetric Information Loss in LLM Tree-Structured Expression Serialization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-gvpo-group-variance-policy-optimization-for-llm-post-trainin-cb11</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>GVPO++ Stabilizes LLM Post-Training via Group Variance Policy Optimization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-when-does-reasoning-help-in-machine-translation-a-hierarchic-56a3</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>Hierarchical Meta-Summarization Analyzes Reasoning Traces in Machine Translation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-detecting-hallucination-in-llms-tracing-the-topological-sign-eb6b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>Topological Hallucination Detection via Forman-Ricci Curvature in Attention Graphs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-risk-aware-occupancy-for-safety-oriented-end-to-end-autonomo-64a7</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>ROIDrive Uses Dense Risk-Aware Occupancy for End-to-End Autonomous Driving</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-coggym-towards-large-scale-comparative-evaluation-of-human-a-477f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>CogGym Framework Standardizes Large-Scale Human and Machine Cognition Comparison</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-you-can-use-any-llm-just-like-jev-dee2</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>Extracting LLM Confidence Scores via llama.cpp Logprobs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-towards-secure-cloud-native-computing-unveiling-kubernetes-m-176b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>LLM-Based Detection of Kubernetes Infrastructure Misconfigurations</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-consistent-relexicalization-of-clinical-documents-using-grap-442d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>G-RELIC: Graph-Based Consistent Clinical Document Relexicalization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-ability-residual-decoupled-modeling-for-affective-cognitive--06e0</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>Ability-Residual Decoupled Modeling for Affective Cognitive Diagnosis</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-from-generation-to-detection-exploration-of-discourse-driven-8cdf</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>LLM Misinformation Analysis via Discourse-Driven Scenario Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-offline-multimodal-large-language-models-for-decision-suppor-b535</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>Offline Multimodal RAG for Air Operations Decision Support</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-rbs-attention-radius-bounded-sparse-prefill-for-long-context-82de</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>RBS-Attention for High-Speed Long-Context Prefill</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-a-fully-differentiable-neuro-soft-symbolic-framework-for-per-752f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>Differentiable Neuro-Soft-Symbolic Framework for Task Planning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-attention-aware-routing-coupling-routing-and-attention-in-mo-a46b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>Attention-Aware Routing for Mixture-of-Experts</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-when-ai-reviews-train-ai-reviewers-scientific-judgment-colla-9f3d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-17</news:publication_date>
      <news:title>Scientific-Judgment Collapse in AI-Generated Peer Reviews</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-teleantifraud-20-a-refreshable-profile-grounded-and-audio-ba-b425</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-17</news:publication_date>
      <news:title>TeleAntiFraud 2.0 Audio-Based Fraud Detection Benchmark</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-mintact-a-unified-visual-agent-for-digital-environments-b3a8</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-18</news:publication_date>
      <news:title>MintAct Unified Vision-Language Models for Digital Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-training-adaptive-convolutional-sparse-coding-via-informatio-1add</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-17</news:publication_date>
      <news:title>Training-Adaptive Convolutional Sparse Coding</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-mome-mixture-of-memory-embeddings-for-context-aware-sparse-l-35fb</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-14</news:publication_date>
      <news:title>MoME: Context-Aware Mixture of Memory Embeddings</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-mllms-hallucinate-when-information-distribution-drifts-in-sy-1383</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-05</news:publication_date>
      <news:title>HEAL Method to Mitigate MLLM Hallucinations</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-omnivbench-a-benchmark-and-large-scale-dataset-for-omni-refe-6e41</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-18</news:publication_date>
      <news:title>OmniVBench for Omni Reference-to-Video Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-learning-foresight-without-explicit-trajectories-for-3d-diff-844e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-17</news:publication_date>
      <news:title>Movement Trend Guidance for 3D Diffusion Policies</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-grounded-skill-synthesis-from-code-at-scale-for-agentic-inte-3621</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-04</news:publication_date>
      <news:title>Code2Skill Pipeline for Automated Skill Synthesis</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-recreationworld-scalable-and-verifiable-environments-for-hyb-c86a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-18</news:publication_date>
      <news:title>RecreationWorld Framework for Hybrid Computer-Use Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-high-resolution-range-profile-classifiers-require-aspect-ang-05e3</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-18</news:publication_date>
      <news:title>Aspect-Angle Awareness Improves HRRP Classifier Accuracy by 10%</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-compass-v3-scaling-domain-specific-llms-for-multilingual-e-c-1bb1</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-18</news:publication_date>
      <news:title>Compass-v3 245B Parameter MoE Model for Multilingual E-Commerce</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-learning-and-transferring-closed-loop-robot-software-f6e2</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-18</news:publication_date>
      <news:title>Transferring Closed-Loop Robot Software via Reusable Execution Experience</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-buildbench-benchmarking-llm-agents-on-compiling-real-world-o-c1f7</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-18</news:publication_date>
      <news:title>BuildBench Benchmarks LLM Agents on Diverse Real-World OSS Compilation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-behavioral-coherence-a-method-for-sensitive-domain-llm-evalu-5651</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-18</news:publication_date>
      <news:title>Behavioral Coherence Method Reveals Bias in Sensitive-Domain LLM Responses</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-perturbing-the-phase-analyzing-adversarial-robustness-of-com-29da</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-18</news:publication_date>
      <news:title>Phase Attacks Target Vulnerabilities in Complex-Valued Neural Networks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-vlm-cad-vlm-optimized-collaborative-agent-design-workflow-fo-799e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-18</news:publication_date>
      <news:title>VLM-CAD Combines Neuro-Symbolic Parsing with Bayesian Optimization for Circuit Sizing</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-geoaac-geometry-based-adaptive-action-chunking-from-denoisin-a94f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-18</news:publication_date>
      <news:title>GeoAAC Adapts Action Horizons in VLA Policies Using Flow Geometry</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-steering-equilibrium-selection-in-regularized-self-play-via--7409</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-18</news:publication_date>
      <news:title>Steering Nash Equilibrium Selection via Reference Policy Anchoring</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-rethinking-the-design-space-of-reinforcement-learning-for-di-dcab</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-18</news:publication_date>
      <news:title>ELBO-Based Likelihood Estimation Improves RL for Diffusion Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-ai-chatbots-give-wrong-answers-to-financial-queries-most-of--e1b2</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-09-21</news:publication_date>
      <news:title>Chatbots Frequently Hallucinate Financial Information</news:title>
    </news:news>
  </url>
</urlset>