<?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-omicsbench-a-long-horizon-multi-turn-benchmark-of-ai-agents--910c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>OmicsBench Evaluates Long-Horizon AI Agents in Bioinformatics</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-msp-modality-self-play-for-training-multimodal-llms-without--19f7</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>MSP Framework Enables Multimodal Training Without Paired Data</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-mine-sample-render-test-time-diversity-alignment-of-generati-efa0</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>MSR Improves Generative Model Diversity via Test-Time Corpus Alignment</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-memscope-evolving-agent-memory-architectures-through-localiz-a630</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>MemScope Framework for Localized Agent Memory Architecture Evolution</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-ultramarine-1-flash-frontier-model-100x-cheaper-fba9</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-14</news:publication_date>
      <news:title>Ultramarine 1 Flash Claims High Performance at 60x Lower Cost</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-memcomposer-learning-to-assemble-memories-for-llm-agents-via-f580</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>MemComposer Optimizes LLM Agent Memory via GRPO-Based RL</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-meddex-a-retrieval-augmented-llama-3-system-with-gemini-visi-dce1</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>MeddeX Combines LLaMA-3 RAG and Gemini Vision for Medical Reports</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-mallea-building-steering-and-memorizing-worlds-with-coding-a-2bd8</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Mallea System Uses Coding Agents to Build Text-Driven World Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-making-every-stage-of-medical-device-document-assessment-wit-e879</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>LLM Non-Determinism Found in Medical Device Document Assessment</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-mai-gym-an-open-all-in-one-platform-for-gui-agent-evaluation-dba8</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>MAI-Gym Platform Unifies GUI Agent RL Training and Evaluation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-lev-thinking-fast-and-deep-with-looped-decision-models-24bd</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>LEV Decision Model Increases Accuracy via Layer Looping</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-learning-when-to-withdraw-curriculum-coverage-and-rule-speci-ed6c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Enriched Curriculum Improves Agent Withdrawal Recall in Tool-Using Tasks</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-learning-to-read-out-unembedding-dynamics-in-language-model--0800</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Unembedding Dynamics Reveal Capability Emergence Before Model Output</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-l2g-sr-learning-to-guide-llm-based-symbolic-regression-0df8</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>L2G-SR Uses Structural Verifiers to Improve LLM Symbolic Regression</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-kolab-benchmarking-human-agent-collaboration-in-long-horizon-d56c</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Kolab Dataset Benchmarks Human-Agent Collaboration in Professional Workflows</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-jev-as-a-judge-for-rag-claim-verification-confidence-gated-c-8ef1</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Non-Generative Verifier Matches Frontier LLMs at 187x Lower Cost</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-ineqagent-agentic-inequality-proving-in-lean-with-symbolic-c-45cf</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>IneqAgent Achieves 94.09% Success in Lean Inequality Proving</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-grads-graph-regulated-agentic-data-synthesis-with-controllab-0ce6</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>GRADS Framework Synthesizes Agentic Data with Graph-Regulated Difficulty</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-eva-cap-optimizing-audiovisual-video-captioning-via-event-ce-355a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-15</news:publication_date>
      <news:title>EVA-Cap Uses Event-Centric Alignment for Video Captioning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-from-observation-to-intervention-distilling-self-generated-i-fa4b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>ECI2D Uses Causal Intervention to Distill Faithful ICL Demonstrations</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-from-long-context-to-selective-memorya-survey-of-memory-cent-9b13</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Survey of Memory-Centric Compression for Long-Context LLMs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-fgss-bo-feedback-guided-hypothesis-management-for-llm-based--2ab5</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>FGSS-BO Improves LLM-Guided Bayesian Optimization via Hypothesis Management</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-failure-is-the-mother-of-success-recovering-supervision-with-bcdb</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>RSHD Recovers Supervision from Failed GRPO Training Rollouts</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-exploring-the-design-space-of-permutation-diffusion-llms-5cc6</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Permutation Diffusion LLMs for Optimized Recommendation Reranking</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-this-is-61-kb-html-file-84d1</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Claude Code Generates WebGPU Ocean Simulation via Multi-Agent Critique</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-dario-with-open-source-you-can-see-the-source-code-here-we-c-a84f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>MiMo-2.6-Pro Runs at 0.646 t/s on Jetson AGX Thor</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-evolvingbrain-an-adaptive-skill-system-for-multi-modal-agent-0943</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>EvolvingBrain Adaptive Skill System for Multi-modal Agent Self-Evolution</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-evolving-together-failing-apart-the-skill-policy-co-evolutio-8bc7</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Skill-Policy Co-evolution Leads to Fragility Under Skill Drift</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-evaluating-model-capabilities-after-benchmark-saturation-87ba</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Using Model Transcripts to Evaluate Capabilities Beyond Benchmark Saturation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-entertain-then-cancel-how-thinking-makes-reasoning-models-re-42a6</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Increased Thinking Time Causes Reasoning Models to Lose Logical Implicatures</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-does-personalization-break-trust-open-set-rejection-calibrat-07ce</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Few-Shot LoRA Personalization Degrades Out-of-Scope Intent Rejection</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-does-morphological-correctness-matter-for-tokenization-a-scr-ab2d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>MorphAustro-Tok Improves Tagalog Machine Translation via Morphological Tokenization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-diviner-agentic-rca-with-human-governed-adaptation-for-large-8cd0</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Diviner: Agentic Root-Cause Analysis for Large-Scale Distributed Systems</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-deep-reinforcement-learning-for-hpc-job-scheduling-a-statist-8d53</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Maskable PPO Outperforms Random Control in Heterogeneous HPC Job Scheduling</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-anthropic-is-preparing-to-launch-a-work-email-discount-path--d091</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Anthropic preparing work-email discount for Claude Pro</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-why-do-we-have-models-under-15b-so-rarely-anymore-56e6</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Market trend toward larger minimum model sizes</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-anthropic-could-absolutely-destroy-outlook-if-it-built-an-em-7322</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Anthropic potential for disruptive email client development</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-10-things-you-maybe-didnt-know-you-can-do-with-qwen-36-27b-r-34a0</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Practical use cases for Qwen 3.5 27B</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-counterfactual-neighborhood-risk-fields-evidence-grounded-se-9b40</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>CNRF for evidence-grounded selective safety in vision-language models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-cots-competitive-token-selection-for-latent-reasoning-in-lar-e96d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>CoTS framework for continuous latent reasoning allocation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-cotranslator-reverse-to-forward-chain-of-thought-translator--6bae</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>CoTranslator for efficient reasoning distillation via reverse CoT</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-costa-compressed-speech-token-adaptation-for-efficient-spoke-7d5d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>CoSTA framework for efficient spoken dialogue model inference</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-context-injection-and-long-horizon-reliability-separating-du-ce71</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>Long-horizon reliability failures in Qwen3-8B context injection</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/gh-llamacpp-model-add-beam-reflection-6027</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>llama.cpp adds Beam reflection support</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-scalable-weak-to-strong-verifier-hardening-for-agent-environ-5824</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-11</news:publication_date>
      <news:title>Automated hardening of agent environment verifiers</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-leash-uncertainty-aware-weak-to-strong-escalation-and-oversi-266d</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-15</news:publication_date>
      <news:title>LEASH framework for uncertainty-aware weak-to-strong agent escalation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-diminishing-returns-of-data-in-sparse-autoencoders-functiona-2437</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-14</news:publication_date>
      <news:title>Data scale requirements for Sparse Autoencoder feature reproducibility</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-behavioral-compositionality-of-sparse-autoencoder-representa-4821</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-15</news:publication_date>
      <news:title>Measuring non-additive behavior in Sparse Autoencoder representations</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/news-thegentlemanpervert-producing-ai-csam-is-a-nj-prosecutor-say-404e</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>New Jersey prosecutor arrested for producing AI CSAM</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/news-openai-models-hacked-a-crypto-wallet-and-breached-more-websi-57a6</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-16</news:publication_date>
      <news:title>OpenAI models demonstrate ability to hack crypto wallets</news:title>
    </news:news>
  </url>
</urlset>