<?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-cross-lingual-reusability-of-llm-pipelines-financial-extract-0f48</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>Cross-Lingual Reusability of English-Validated LLM Pipelines</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-correcting-attribution-patching-with-a-few-exact-measurement-0a94</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>Guided-AP for Efficient Attribution Patching in Mechanistic Interpretability</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-cefr-oriented-russian-text-simplification-using-reinforcemen-0dc5</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>CEFR-Targeted Russian Text Simplification via DPO</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-autoterm-sst-adaptive-terminology-memory-with-zero-session-t-85cc</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>AutoTerm-SST for Zero-Setup Streaming Speech Translation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-auditing-safety-preference-supervision-with-recorded-derivat-541e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>Symbolic Preference Labeling for Auditable Safety Supervision</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-atomsd-procedural-atom-guided-self-distillation-for-llm-agen-cfe6</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>AtomSD Framework for Procedural Atom-Guided Self-Distillation in LLM Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-ask-to-distill-learning-to-synthesize-data-for-on-policy-dis-f420</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>Ask to Distill Framework for Synthesizing On-Policy Distillation Data</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-an-llm-based-agent-for-legal-compliance-assessment-architect-04a9</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>ComplianceAgent Framework for Automated Legal Compliance Assessment</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-a-multi-granularity-interaction-network-for-relational-tripl-44e5</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>Multi-Granularity Interaction Network Improves Relational Triple Extraction for Unseen Entities</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-a-latent-control-model-for-realistic-rodent-motion-7b00</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>SCAMPER System for Realistic Rodent Motion Modeling</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-a-general-purpose-system-one-decision-model-for-clinical-rec-1e44</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>Clinical System One: 4B Parameter Model for Medical Records</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-jacobian-descent-for-multi-objective-optimization-126d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>Jacobian Descent for Pareto Front Optimization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-taskonomy-disentangling-task-transfer-learning-b5db</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>Computational Taxonomy for Visual Task Transfer Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-attention-aligned-reasoning-for-large-language-models-ef1b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>ATAR Method Improves LLM Reasoning via Attention Alignment</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-using-claude-to-reduce-the-attack-surface-of-code-ffdf</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>Automated Attack Surface Reduction Using Claude</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-matt-pococks-claude-code-habits-5-takeaways-about-the-human--6bb1</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>Developer workflows for effective AI agent utilization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-vlm-guided-contact-retargeting-and-generative-partner-modeli-fe3c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>REACT framework for humanoid-human interaction via VLM guidance</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-exploration-via-activation-space-steering-for-reinforcement--6ea8</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>Activation-Space Steering diversifies RL training rollouts</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-temporal-evidence-parameter-co-alignment-for-llm-reasoning-o-93c7</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>TEPCA framework for LLM reasoning over temporal knowledge graphs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-africa-papers-a-10-billion-token-multi-domain-academic-corpu-8647</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>Africa-Papers introduces 10B-token Pan-African academic corpus</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-inferring-continuous-cognitive-traits-from-limited-neuroimag-73bd</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>Pairwise CNNs for cognitive trait inference from MRI</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-alibaba-hikes-deepseek-v4-flash-0731-output-prices-by-230-d588</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>Alibaba triples DeepSeek V4 Flash 0731 output pricing</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-prefix-tuning-for-arbitrary-output-sequences-on-pretrained-t-2d86</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>Existence of Prefix-Tuning Solutions for Arbitrary Transformer Outputs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-persistent-memory-and-iterative-improvement-in-an-llm-agent--b74d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>Impact of Persistent Memory and Code Banks on LLM Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-or-license-evaluating-llm-agents-as-real-world-operations-re-f32f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>OR-License Benchmark for Evaluating LLM Agents in Operations Research</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-nexus-cli-pure-go-bridge-to-deepseek-r1v3-with-claude-code-a-8a38</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-21</news:publication_date>
      <news:title>Nexus-CLI: Pure Go Bridge for DeepSeek V3 and R1</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-not-every-user-says-it-all-training-tool-using-agents-beyond-fd99</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>StaGPO Addresses Performance Gaps for Weak User Tool-Use Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-muse-glimmer-30b-an-on-device-agentic-model-5943</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>Muse Glimmer 30B Enables Local Agentic Tasks on Consumer Hardware</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-multi-author-style-detection-with-stylistic-embeddings-9b4e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>Mistral-7B and DeBERTa Hybrid Improves Multi-Author Style Detection</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-mscr-jointly-balancing-utilization-across-modalities-and-dis-474d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>MSCR Method Balances Modality Utilization and Synergistic Information</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-modeling-discourse-profiles-in-climate-misinformation-discou-194c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>Discourse Profiles Improve Climate Misinformation Detection on TikTok</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/news-ex-nvidia-turned-vc-amulya-vishwanath-8216physical-ai-is-in--5f23</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>Physical AI Enters Modular Era Comparable to LEGO</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/lab-terminal-x-matches-senior-investor-judgment-886-with-gpt-61-920b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>Terminal X Eval Agent Achieves 88.6% Alignment with Senior Investors</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-eagle-4-released-faster-than-dflash2-amp-dspark-88de</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>Eagle-4 Achieves 3.59x Speedup for Qwen 27B Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-xhtokenspark-x26-4b-hugging-face-b994</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>Spark-X2.6-4B Optimized for On-Device Agentic Workflows</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-meld-recursive-self-improvement-via-hierarchical-coordinatio-7024</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>MELD Framework for Hierarchical Multi-Agent Scientific Discovery</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-m2net-unifying-scale-specific-structures-and-prototype-decom-9922</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>M2Net for Spatial-Temporal Forecasting via Scale-Specific Masking</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-logicvala-logic-formalized-benchmark-for-constraint-satisfac-4abd</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>LogicVal Benchmark for Constraint-Satisfied Text-to-Image Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-learning-to-compose-recursive-self-improvement-of-shared-exe-c8b0</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>Recursia Framework for Self-Improving Robot Skill Stacks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-joint-decoupled-or-agent-when-each-multimodal-alignment-para-1be4</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>Multimodal Alignment Paradigms Comparison Across 16 Datasets</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-is-this-your-agent-identity-watermarking-for-agent-systems-i-810d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>DASMark Framework Achieves 98.5% Watermark Accuracy in Dynamic Environments</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-if-map-influence-function-inspired-agent-prioritization-in-m-3575</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>IF-MAP Prioritizes Multi-Agent Improvements via Influence Functions</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-hspr-recovering-software-agent-benchmark-scores-via-hierarch-afbe</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>HSPR Recovers Agent Benchmark Scores Using 10% Task Budget</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-new-york-city-wants-to-fine-companies-that-trap-you-in-ai-ch-adc5</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>New York City Proposes Fines for AI Chatbot Doom Loops</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-hippo-training-free-agent-self-evolution-via-hippocampal-rep-8925</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>Hippo Framework Enables Training-Free Agent Self-Evolution via Memory Replay</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-habit-bench-evaluating-habit-induction-from-longitudinal-wea-3098</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>HABIT-Bench Evaluates Habit Inference in Long-Term Agent Memory</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-good-judgment-bad-advice-decision-model-controllers-raise-ag-52ec</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>Decision-Model Controllers Increase Agent Costs Without Improving Success</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-gardenbench-a-lightweight-daily-evaluation-of-llm-capabiliti-dbea</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>GardenBench Provides Lightweight Daily LLM Performance Monitoring</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-from-stories-to-features-scaling-concept-vectors-for-ai-alig-5ca0</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>Scaling Concept Vectors via Synthetic Story Pairs for Alignment</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-from-sec-filings-to-financial-signals-evaluating-llms-on-sto-a3fd</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-20</news:publication_date>
      <news:title>LLM Performance in Forecasting Stock Market Reactions to SEC Filings</news:title>
    </news:news>
  </url>
</urlset>