<?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-perturber-a-stateless-service-for-semantics-preserving-text--56cf</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Perturber: Stateless Service for Robustness Testing</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-people-making-conversation-evaluating-how-naturally-speech-m-75ff</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Evaluating Conversational Latency and Turn-Taking in Speech Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-one-step-text-generation-by-seq-drifting-962a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Seq-Drifting for One-Step Parallel Text Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-one-model-to-loop-them-all-elastic-latent-recurrence-for-lan-55b3</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Elastic Latent Recurrence for Compute-Adaptive Language Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-ogpo-offline-goal-conditioned-policy-optimization-for-recove-c2b8</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>OGPO Framework for Recoverable Vision-Language-Action Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-neurograf-v1-an-end-to-end-romanian-first-language-model-fam-32e5</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Neurograf v1: Romanian-First Language Model Family</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-neural-networks-are-more-modular-than-single-neurons-suggest-73a5</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Subspace Modularity Found in Vision and Language Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-mitigating-capability-degradation-in-llm-self-improvement-vi-397e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Representation Geometry Regularization Prevents LLM Capability Degradation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-mind-the-spatial-gap-a-benchmark-for-geospatial-reasoning-an-3327</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>GeoSpatialBench Tests MLLM Spatial Cognition and Editing</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-mathvis-can-ai-reason-through-drawing-a-benchmark-for-mathem-8b2f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>MathVis Benchmark Evaluates Diagram-Assisted Mathematical Reasoning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-strengthening-our-defenses-against-distillation-attacks-2959</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-13</news:publication_date>
      <news:title>Anthropic Reduces Claude Data Harvesting via Distillation Defenses</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-masked-diffusion-language-agents-for-tool-integrated-chemica-6779</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>ChemDiffAgent: Masked Diffusion for Tool-Integrated Chemical Reasoning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-magicbeanstalk-escaping-the-rlvr-zero-advantage-trap-with-re-ba9c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Identifying the RLVR Zero Advantage Trap in Data Scaling</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-mads-multi-agent-dialog-simulation-for-robust-conversational-48f2</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>MADS Pipeline for Simulating Adversarial Multi-Agent Dialogues</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-looking-ahead-and-back-anticipatory-generative-modeling-for--c174</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Anticipatory Generative Modeling for Graph-Constrained Road Trajectories</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-longharness-advancing-agentic-reasoning-over-100m-token-corp-913a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>LongHarness Framework for Explicit Evidence-Conclusion Coevolution</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-locate-judge-read-role-specialized-tool-agents-over-a-knowle-da2d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>KnowForge Multimodal Agent Pipeline for Document QA</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-learning-more-by-training-less-uncertainty-guided-progressiv-fff0</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Uncertainty-Guided Progressive Contraction for Efficient Reasoning Training</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-language-models-have-interpretable-narrative-mechanisms-8c87</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Identification of Interpretable Narrative Mechanisms in LLMs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-kv-repurpose-a-testbed-for-evaluating-non-prefix-kv-cache-re-8283</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>KV-Repurpose Enables Segment-Wise KV-Cache Reuse in vLLM</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-know-what-you-dont-know-agentic-data-synthesis-by-evolving-g-8180</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>EvoSyn Framework for Agentic Data Synthesis via Feedback Loops</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-janus-enhancing-long-horizon-autonomous-research-with-co-evo-067d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>JANUS Framework for Long-Horizon Autonomous Research</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-host-aware-web-crawling-for-llm-pretraining-data-3bec</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Host-Aware Web Crawling Strategies for LLM Pretraining</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-hindsight-structured-advice-distillation-steering-executor-a-d71d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Hindsight Structured Advice Distillation for Agent Steering</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-geopoliticalqa-benchmarking-retrieval-and-generation-over-in-6d7d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>GeopoliticalQA Benchmark for RAG on Intelligence Reports</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-anthropic-houthis-used-claude-ai-to-make-self-correcting-mis-795a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Reported Misuse of Claude for Missile Guidance Logic</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-geofitbench-llm-a-benchmark-for-assessing-large-language-mod-512c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>GeoFitBench-LLM Benchmark for Geospatial Data Elicitation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-from-21m-hours-of-raw-broadcast-audio-to-finnish-speech-ssl--2542</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Quality-Filtered Finnish Speech SSL via ASR Confidence</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-forgetting-is-not-always-bad-a-neuro-inspired-memory-repair--f7f3</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>DREAM Framework for Selective Forgetting of Poisoned LLM Memories</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-forecasting-corpus-sampling-disagreement-in-masked-text-reco-6424</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Slow Disagreement Decay in Masked Text Reconstruction Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-fear-is-not-always-fear-variation-in-emotion-label-equivalen-e393</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Label Equivalence Mismatch in Cross-Corpus Emotion Classifiers</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-faithful-and-complete-llm-assisted-automated-construction-of-aebc</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Automated Construction of Hierarchical Hardware Knowledge Graphs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-evobelief-falsifiable-world-models-for-self-improving-llm-ag-ac87</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>EvoBelief Enables Falsifiable World Models for LLM Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-evo2-evolving-the-evolver-through-weight-harness-co-evolutio-726f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Evo2 Framework for Weight-Harness Co-Evolution in Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-evaluating-llm-creativity-through-long-tail-performance-290e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Evaluating LLM Creativity via Long-Tail Performance Metrics</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-a-shared-verifiable-fix-database-that-ai-agents-read-and-wri-817d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Verifiable Fix Database for Autonomous AI Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-janas-run-llms-larger-than-ram-by-streaming-experts-from-ssd-586f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Janas Enables LLM Execution Larger Than RAM via SSD Expert Streaming</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-equal-budget-monte-carlo-tree-search-versus-randomized-resta-eedb</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>MCTS Performs Worse Than Randomized-Restart List Scheduling</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-embodiedclbench-evaluating-continual-learning-for-self-evolv-8442</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>EmbodiedCLBench: Continual Learning for Embodied Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-elitetable-self-improving-program-search-for-executable-cont-d860</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>EliteTable: Self-Improving Program Search via LLMs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-drylab-bench-benchmarking-the-biosecurity-risk-of-agentic-ll-464e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>DRYLAB-Bench: Evaluating Biosecurity Risks in LLM Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-dp-mind-differentially-private-memory-guided-long-context-in-92c6</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>DP-MIND: Differentially Private Long-Context Inference</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-intel-d270-gpu-ai-acceleratorup-to-480-gb-lpddr5x-3cc8</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Intel D270 GPU Optimized for Agentic AI Inference</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-show-hn-an-experimental-pattern-first-daw-that-supports-mcp-f42a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Blokkily: Pattern-First DAW with MCP Support</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-gpt-6-astra-helped-me-jailbreak-my-kindle-2fb7</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>GPT-6 Astra Successfully Executes Hardware-Level Coding Tasks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/lab-self-compacting-language-model-agents-9ec5</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>SELFCOMPACT: Model-Driven Context Compaction for Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/lab-minions-a-dynamic-and-distributed-virtual-gpu-cloud-built-on-31aa</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Minions: Distributed GPU Cloud via Idle Apple Silicon</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/lab-large-language-models-for-machine-translation-quality-annota-21a7</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-12</news:publication_date>
      <news:title>Evaluating LLMs as Machine Translation Quality Annotators</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-mental-models-for-multi-agent-systems-939d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-08</news:publication_date>
      <news:title>Mental-Model-Enabled Agents for Multi-Agent Systems</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-humanitys-sixth-sense-benchmarking-intuitive-visual-reasonin-a825</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-08</news:publication_date>
      <news:title>Benchmarking Intuitive Visual Reasoning in Multimodal Models</news:title>
    </news:news>
  </url>
</urlset>