📄 Paper Explainer

All Explained Papers

4378 papers explained. Page 7 of 219. ← Back to home

• arXiv:2609.38120 · explained 2026-10-04
  Stochastic World Models for Verifying Vision-Based Neural Feedback Systems
• arXiv:2609.31179 · explained 2026-10-04
  SPO: Discovering Adaptive Large Neighborhood Search Operators via Stackelberg Program Optimization
• arXiv:2609.30205 · explained 2026-10-03
  A Living Benchmark for Information Retrieval from Electronic Health Records
• arXiv:2609.30144 · explained 2026-10-03
  EnigmaForge: The Question Is Hidden in the Story
• arXiv:2609.29876 · explained 2026-10-03
  Ontology-Mediated Neurosymbolic Constraint Acquisition from Multiple Stakeholders
• arXiv:2609.30027 · explained 2026-10-03
  Synthetic Hospital: An Open, Verifiable, Physician-Validated Longitudinal EHR Benchmark
• arXiv:2609.29947 · explained 2026-10-03
  Neuro-symbolic AI for Industrial Configuration
• arXiv:2609.29875 · explained 2026-10-03
  When Can Agents Forget Their Reasoning? ICLR for Long-Horizon Agent Context Compression
• arXiv:2609.37875 · explained 2026-10-03
  Co-PiLOT: Constrained Physics-Informed Latent Optimization for Target-Driven Inverse Design
• arXiv:2609.31473 · explained 2026-10-03
  Game Arena: Strategic LLM Evaluation in Competitive Environments
• arXiv:2609.30054 · explained 2026-10-03
  SciWalker: Synthesizing Scientific Coding Problems with Operator Graphs and Execution Feedback
• arXiv:2609.29892 · explained 2026-10-03
  Qwen-Planner-Agent: A Closed-Loop AI-for-AI Framework for Real-World Mobile Planner Agents
• arXiv:2609.30050 · explained 2026-10-03
  NNV3: Expanding Neural Network Verification to New Architectures and Domains
• arXiv:2609.37950 · explained 2026-10-02
  Video-RSI: Recursive Self-Improvement of Video Understanding Agents via Harness Evolution
• arXiv:2305.10415 · explained 2026-10-02
  PMC-VQA: Visual Instruction Tuning for Medical Visual
• arXiv:2609.38070 · explained 2026-10-02
  Probability is Not Enough: Exploring and Counting Divergent Tokens for Reasoning Uncertainty Quantification in LLMs
• arXiv:2609.38016 · explained 2026-10-02
  Brain-SAD: A Brain-Inspired Safe Autonomous Driving Control Framework with Dynamic Fear-Oriented Constraint on Dual-Policy
• arXiv:2609.38006 · explained 2026-10-02
  HARISSA: Inference-Time Self-Checks for Efficient and Safe Local Language Model Deployment
• arXiv:2609.37991 · explained 2026-10-01
  Which Attention Heads are like the Human Head? Not the Ones that Compute
• arXiv:2609.38142 · explained 2026-10-01
  AdviSD: Learning to Advise Frontier LLMs via Targeted Multi-Turn Self-Distillation