<?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/gh-vllm-enable-mm-encoder-tp-mode-data-for-mimo-v26-90f3</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>vLLM Adds MiMo-V2.6 Support via MM-Encoder-TP-Mode</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/news-hundreds-of-mundane-ai-apps-are-hiding-sexually-abusive-deep-7458</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Chinese-language AI Apps Found Using Hidden Deepfake Abuse Features</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-apparently-using-claude-code-to-build-something-is-now-consi-4b23</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Claude Code Used to Develop Custom Foundry VTT Game System</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-integrating-ai-for-human-centric-breast-cancer-diagnostics-a-23d3</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>MSMV-Swin Framework for Robust Multi-View Breast Cancer Diagnostics</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-uploop-training-looped-transformers-via-upcycling-at-no-extr-587a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>UpLoop Training Method for Efficient Looped Transformers via Upcycling</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-scrbench-beyond-equivalence-checking-for-semantic-change-rea-98ae</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>SCRBench Benchmark for Semantic Change Reasoning in Python Code</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-daps-dependency-aware-premise-selection-for-llm-theorem-prov-e738</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>DAPS: Dependency-Aware Premise Selection for Lean 4 Theorem Proving</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-distilling-knowledge-from-search-decoder-model-factory-for-q-4d14</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>GraphMP: Knowledge Distillation for Quantum LDPC Code Decoders</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-ark-avoiding-routing-collisions-for-kv-cache-transfer-in-dis-7c22</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>ARK: Reducing KV Cache Transfer Latency in Disaggregated LLM Inference</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-camel-cross-architecture-masked-embedding-learning-for-ultra-5045</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>CAMEL: Lightweight Retinal Foundation Models via Masked Embedding Learning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-a-theoretical-framework-for-understanding-and-building-any-t-f018</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Mathematical Framework for Any-task Inference Foundation Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-chinas-first-frontier-ai-export-controls-mofcom-announcement-3787</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>China Implements Export Controls on Frontier AI Technologies</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hn-i-am-the-reason-openai-is-killing-unlimited-chats-7d68</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-01</news:publication_date>
      <news:title>OpenAI Merging Unlimited Chats with Codex Usage</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-i-dont-understand-all-this-claude-obsidian-obsession-62ce</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>User Workflow Replaces Obsidian with Direct Claude Local Folder Context</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-agentic-systems-for-calibrating-cosmological-simulations-8878</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>AgenticTuner Uses LLMs to Calibrate High-Dimensional Cosmological Simulations</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-cros-causality-reward-on-scrambled-cots-improves-accuracy-an-e004</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>CRoS Addresses Reasoning Faithfulness via Causality Reward on Scrambled CoT</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-optimizing-stochastic-policy-geometry-for-few-step-flow-rein-756a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Geo-FSRL Optimizes Stochastic Policy Geometry in Few-Step Flow Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-peeling-the-matryoshka-extracting-ontological-structure-from-cd4b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>PEEL Method Extracts Hierarchical Taxonomies from Matryoshka Embeddings</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-breaking-information-islands-in-sparse-tuning-via-small-worl-d893</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>SWIFT Framework Addresses Information Islands in Sparse Tuning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-multi-test-nation-bias-benchmarking-of-llms-with-explicit-un-b664</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Quantitative Benchmarking of Nation-Level Bias in LLMs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-experts-exhibit-structured-redundancy-structure-preserving-e-afe0</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Structure-Preserving Expert Pruning Reduces MoE Memory Overhead</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-tracespec-understanding-and-improving-speculative-decoding-f-a0a4</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>TraceSpec Framework Improves Speculative Decoding for LLM Agents</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-s2tdr-structured-multimodal-reconstruction-for-sticker-aware-4e2f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>S2TDR Framework Converts Social Media Stickers into Contextual Textual Utterances</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-implicithop-evaluating-knowledge-integration-across-context--68d9</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>ImplicitHop Benchmarks Knowledge Integration in LLM Context vs. Weights</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-predicting-human-gain-curves-under-local-proxy-optimization--f3e6</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>PACE Method Predicts Human-Perceived Quality Gains from Proxy Optimization</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-optimization-techniques-for-solving-the-minimum-red-blue-sep-266b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>BBC and LBBD Algorithms Improve Human-AI Text Separation Performance</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-lang-20-energy-efficient-agentic-ai-for-semi-automated-secur-8062</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>LanG 2.0 Achieves 51.81% Campaign Correlation Precision Using Small Local Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/reddit-now-fix-all-mistakes-youve-made-adba</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>User Over-Reliance on High-Performing Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-consensus-within-competition-between-decentralized-llm-teams-2b78</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Decentralized LLM Teams Outperform Centralized Commanders in Defense Simulations</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-replayrca-measuring-post-hoc-diagnosis-and-live-oversight-of-5f5b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>ReplayRCA Measures Agent Failure Diagnosis via Causal Repair</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-language-models-show-conformity-bias-in-rag-when-the-majorit-8bd2</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>Majority Poisoned Documents Induce Conformity Bias in RAG</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-do-open-language-models-invent-scripture-bilal-bench-benchma-8599</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>BILAL-BENCH Quantifies Islamic-Source Fabrication in Bengali Language Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-beyond-plausible-prediction-safety-sufficiency-in-web-world--a347</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>SafeWebWorld Benchmarks Safety Sufficiency in Web World Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-wizard-manipulate-any-world-in-real-time-via-agentic-control-491f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-29</news:publication_date>
      <news:title>Wizard Enables Real-Time Agentic Control in Video World Models</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-wefair-fidelity-aware-alignment-from-human-feedback-for-pers-35d7</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>WeFair Improves Short-Video Search via Fidelity-Aware Alignment</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/hf-frameforge-harnessing-priors-of-video-foundation-models-for--2534</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-27</news:publication_date>
      <news:title>FrameForge Uses Video Model Priors for Adaptive Image Generation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-the-real-cost-of-context-predicting-compute-time-and-energy--4187</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>Prefill Scaling Impacts Compute and Energy in Agentic Workflows</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-the-quine-test-how-much-of-a-models-self-survives-its-own-de-8c06</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>The Quine Test Shows LLM Self-Descriptions Fail to Predict Behavior</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-syntactic-segmentation-and-collage-generation-for-videogame--7d88</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>Perceptual Distance for Automated Videogame Level Segmentation</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-socialarena-evaluating-social-intelligence-in-large-language-ce75</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>SocialArena Benchmark for Evaluating LLM Social Intelligence</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-right-numbers-wrong-questions-evaluating-llms-on-underspecif-7468</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>Frame Collapse in LLMs Leading to Incorrect Financial Answers</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-red-teaming-large-language-models-in-low-resource-african-la-475a</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>LLM Safety Fails in Low-Resource African Languages Yoruba and Nigerian Pidgin</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-reasoning-or-pattern-exploitation-mechanistic-insights-from--1ada</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>SAE Analysis Suggests RL-Trained Models Rely on Prompt Patterns over Reasoning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-raincheck-deferred-multimodal-prefill-for-efficient-multi-tu-11bd</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>Raincheck Framework Enables Deferred Multimodal Prefill for MLLMs</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/gh-vllm-nemotron-35-transcribe-pack-the-audio-towers-valid-fram-17c5</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>vLLM Adds Audio Frame Support for Nemotron-3.5-Transcribe</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/gh-vllm-remove-redundant-muse-spark-configuration-overrides-6016</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-11-02</news:publication_date>
      <news:title>vLLM Removes Redundant Muse Spark Configuration Overrides</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-pt3-prototype-guided-self-supervised-pretraining-for-general-0ba4</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>PT3 Prototype-Guided Pretraining for mmWave Human Point Clouds</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-paperbenchx-can-ai-reproduce-science-across-disciplines-274f</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>PAPERBENCHX Benchmark for Cross-Disciplinary Scientific Reproduction</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-non-zero-radius-the-missing-component-of-neural-networks-b927</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>Non-Zero Radius Sphere Embeddings for Symbolic Reasoning</news:title>
    </news:news>
  </url>
  <url>
    <loc>https://hackobar.com/item/arxiv-molrsi-a-recursive-self-improving-ai-agent-for-molecular-dis-353b</loc>
    <news:news>
      <news:publication>
        <news:name>HACKOBAR_</news:name>
        <news:language>en</news:language>
      </news:publication>
      <news:publication_date>2026-10-30</news:publication_date>
      <news:title>MoLRSI Agent for Recursive Molecular Discovery Optimization</news:title>
    </news:news>
  </url>
</urlset>