<?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-lost-in-compaction-evaluating-side-constraint-loss-under-con-08ae</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Context Compaction Leads to Loss of Session Constraints</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-segpar-class-centric-decision-based-sparse-attack-for-semant-8e91</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>SegPAR for Efficient Sparse Attacks on Semantic Segmentation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-an-agentic-workflow-for-legacy-hpc-modernization-converting--7196</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Agentic Workflow for Automating Legacy Fortran Modernization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-grpo-for-financial-advice-generation-outperforming-commercia-2d2f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>GRPO Fine-Tuning for Financial Advice Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-clear-class-wise-expert-aggregation-with-structured-sampling-22f5</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>CLEAR Framework for Long-Tailed Classification Reliability</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/gh-vllm-add-muse-glimmer-model-support-35b3</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-14</news:publication_date>
      <news:title>vLLM Adds Support for Muse Glimmer Model</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-a-corpus-specific-clinical-rag-system-matches-or-outperforms-9401</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>VITA Clinical RAG Outperforms Frontier LLMs on HealthBench in LMIC Contexts</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-harness-if-evaluating-instruction-following-across-instructi-ff5d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Harness-IF Benchmark Exposes Instruction-Following Deficiencies in Coding Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-best-kag-enhancing-question-answering-of-building-engineerin-28fd</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>BEST-KAG Framework Uses Multimodal Knowledge Graphs for Building Standards QA</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-uncertainty-aware-and-explainable-ensemble-deep-learning-fra-def3</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Ensemble Framework Achieves 96% Accuracy for Skin Lesion Classification</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-aware-mitigating-catastrophic-forgetting-via-activation-weig-0a8d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>AWARe Mitigates MLLM Catastrophic Forgetting via Activation-Weighted Parameter Updates</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-preference-tree-optimization-enhancing-goal-oriented-dialogu-5916</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Preference Tree Optimization for Goal-Oriented Dialogue Systems</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-agentictwin-an-agentic-llm-framework-integrated-with-digital-0d29</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>AgenticTwin Framework for LLM-Driven Digital Twin Anomaly Analysis</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-the-off-support-barrier-why-semantic-safety-constraints-are--dc4b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Semantic Safety Constraints as Off-Support Objects in AI</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-reinforcement-learning-based-dbms-buffer-pool-auto-tuning-fo-9ea6</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>MicroTune RL System for Automated DBMS Buffer Pool Tuning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-frontierfinance-a-challenging-benchmark-for-measuring-fronti-1080</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>FrontierFinance Benchmark for Evaluating Complex Financial AI Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-one-frozen-simulator-is-not-enough-simulator-collapse-in-mul-6778</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Mitigating Simulator Collapse in Multi-Agent Reinforcement Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-ctbench-evaluating-troubleshooting-capabilities-of-ai-agents-a22a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>CTBench Benchmark for Telecom Network Troubleshooting Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-claim-leading-open-domain-active-clarification-of-large-lang-0e92</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>CLAIM Framework for Uncertainty-Driven LLM Clarification</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-detecting-a-route-flip-is-easier-than-knowing-whether-to-fix-8752</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Quantization-Induced Route Flips in Mixture-of-Experts Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-a-cascaded-unsupervised-supervised-nlp-pipeline-for-detectin-7b44</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Hybrid NLP Pipeline for Detecting Irregularities in Public Procurement</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-oeis-open-how-many-conjectures-can-language-models-turn-into-efb4</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>OEIS Open Benchmark Tests LLM Theorem Proving Capabilities</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-localizing-safety-alignment-mlp-layers-and-mid-network-block-65f0</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Mid-Network MLP Layers Dominate Safety Refusal Behavior in LLMs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-vq-bench-a-composable-vector-quantization-framework-ef42</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>VQ-bench Open-Source Framework for Composable Vector Quantization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-who-thinks-best-depends-on-how-long-you-let-them-budget-depe-7412</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>LLM Model Rankings Reverse Depending on Token Generation Budget</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-enterpriserag-benchmarking-llm-instruction-adherence-and-rob-4471</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>EnterpriseRAG Reveals 57-Point Instruction Adherence Gap in Production RAG</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-trace-bench-task-driven-roleplay-agentic-checklist-evaluatio-2e24</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>TRACE Bench Provides Checklist-Based Evaluation for Roleplay Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-total-recall-at-what-cost-benchmarking-the-serving-cost-of-a-d740</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Benchmarking Serving Costs of Agentic Memory Systems</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-group-alignment-induced-sycophancy-a-two-sided-evaluation-of-9ae6</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Group Alignment Methods Increase Model Sycophancy Across Demographics</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-qv-pic-query-aware-visual-position-independent-caching-for-e-18d6</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>QV-PIC Framework for Efficient RAG Serving via Visual Caching</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/x-great-to-welcome-lgeglobal-group-chairman-kwang-mo-koo-and-l-8d85</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-14</news:publication_date>
      <news:title>NVIDIA and LG Expand Collaboration on Physical AI and Robotics</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-language-conditional-dequantization-recovering-what-quantiza-bedd</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>LCD Recovers Multilingual Performance in Quantized Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-social-chain-of-thought-a-multi-agent-architecture-grounded--df01</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Social Chain of Thought Multi-Agent Medical Diagnosis</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-geometry-aware-incremental-neural-operator-for-long-horizon--f926</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>GeoIncNO for Stable Long-Horizon PDE Prediction</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-poly-dialectal-neural-machine-translation-system-for-bangla--98c7</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Poly-Dialectal NMT System for 12 Bangla Dialects</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-is-convergence-inevitable-tracing-output-homogeneity-back-to-2ecc</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Pretraining Phase Drives LLM Output Homogeneity</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-exrole-from-team-trajectories-to-executable-roles-in-multi-a-c174</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>ExRole Framework Maps Multi-Agent Trajectories to Executable Roles</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-labelfusion-ts-fusing-large-language-models-transformer-enco-e2d4</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>LabelFusion-TS Fuses LLMs and Time Series for Monetary Policy Classification</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-from-numbers-to-judgment-specialist-llm-agents-and-reinforce-561a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Specialist LLM Decomposition and GRPO for Real Estate Analysis</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-a-forced-structure-reduction-and-verifiable-bounds-for-conwa-cfc2</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>AI Agent Automates Reduction for Conway's 99-Graph Problem</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-retry-switch-or-abstain-learning-strategy-aware-tool-use-pol-c395</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>BENCH2ROBUST Framework for Robust LLM Tool-Use Recovery</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-opus-5-is-exhausting-ed0a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>User Feedback Reports Stylistic Inconsistency in Opus 5</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-infrabench-evaluating-infrastructure-agents-across-layers-li-490d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>InfraBench Evaluates AI Agents on Full-Stack Infrastructure Management</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-self-evolving-embodied-agents-via-skill-harness-evolution-b7de</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>SHAPER Enables Train-Free Adaptation for Embodied Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-lazytrain-limited-resource-allocation-toward-zero-waste-yiel-7fe7</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>LazyTrain Optimizes LLM Training on Limited Hardware Resources</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-hugin-enhancing-vision-language-planning-for-autonomous-logi-d1f2</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>HUGIN Framework Enhances Vision-Language Planning for Logistics</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-lodestar-trustworthy-entropy-is-navigated-not-merely-measure-2a2f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>LODESTAR Mitigates Hallucinations Caused by Misleading RAG Evidence</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-compute-optimal-is-not-cluster-optimal-e610</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Cluster-Optimal Scaling Laws Account for Hardware Constraints</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/x-rt-by-sama-the-openai-foundation-is-launching-ai-for-civil-s-d25b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>OpenAI Foundation Launches $100M Healthcare Initiative for Patient Care</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-retrofitting-recurrent-depth-into-a-pretrained-language-mode-4516</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-08-13</news:publication_date>
      <news:title>Retrofitting Recurrent Depth into Qwen2.5-0.5B</news:title>
    </news:news>
  </url>
</urlset>