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AI Papers - 2026-05-05
May 5, 2026
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AI Papers - 2026-05-04
May 4, 2026
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AI Papers - 2026-05-01
May 1, 2026
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AI Papers - 2026-04-30
Apr 30, 2026
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AI Papers - 2026-04-29
Apr 29, 2026
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| Date | Episode | Description | Length | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 5/5/26 | AI Papers - 2026-05-05 | Today's papers: - Born-Qualified: An Autonomous Framework for Deploying Advanced Energy and Electronic Materials: https://arxiv.org/abs/2605.00639v1 - Towards Multi-Agent Autonomous Reasoning in Hydrodynamics: https://arxiv.org/abs/2605.01102v1 - APIOT: Autonomous Vulnerability Management Across Bare-Metal Industrial OT Networks: https://arxiv.org/abs/2605.02346v1 - NEURON: A Neuro-symbolic System for Grounded Clinical Explainability: https://arxiv.org/abs/2605.01189v1 - Selector-Guided Autonomous Curriculum for One-Shot Reinforcement Learning from Verifiable Rewards: https://arxiv.org/abs/2605.01823v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 5/4/26 | AI Papers - 2026-05-04 | Today's papers: - Optimization before Evaluation: Evaluation with Unoptimised Prompts Can be Misleading: https://arxiv.org/abs/2604.27637v1 - Position: agentic AI orchestration should be Bayes-consistent: https://arxiv.org/abs/2605.00742v1 - From Context to Skills: Can Language Models Learn from Context Skillfully?: https://arxiv.org/abs/2604.27660v1 - CastFlow: Learning Role-Specialized Agentic Workflows for Time Series Forecasting: https://arxiv.org/abs/2604.27840v1 - CoAX: Cognitive-Oriented Attribution eXplanation User Model of Human Understanding of AI Explanations: https://arxiv.org/abs/2604.27354v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 5/1/26 | AI Papers - 2026-05-01 | Today's papers: - SecMate: Multi-Agent Adaptive Cybersecurity Troubleshooting with Tri-Context Personalization: https://arxiv.org/abs/2604.26394v1 - Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising: https://arxiv.org/abs/2604.26694v1 - Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding: https://arxiv.org/abs/2604.28028v1 - QYOLO: Lightweight Object Detection via Quantum Inspired Shared Channel Mixing: https://arxiv.org/abs/2604.26435v1 - Test Before You Deploy: Governing Updates in the LLM Supply Chain: https://arxiv.org/abs/2604.27789v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/30/26 | AI Papers - 2026-04-30 | Today's papers: - From World-Gen to Quest-Line: A Dependency-Driven Prompt Pipeline for Coherent RPG Generation: https://arxiv.org/abs/2604.25482v1 - Agentic Architect: An Agentic AI Framework for Architecture Design Exploration and Optimization: https://arxiv.org/abs/2604.25083v1 - SAFEdit: Does Multi-Agent Decomposition Resolve the Reliability Challenges of Instructed Code Editing?: https://arxiv.org/abs/2604.25737v1 - Open Problems in Frontier AI Risk Management: https://arxiv.org/abs/2604.25982v1 - Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data: https://arxiv.org/abs/2604.26841v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/29/26 | AI Papers - 2026-04-29 | Today's papers: - Spectral bandits - Scaling Properties of Continuous Diffusion Spoken Language Models - Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence - Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis - MIMIC: A Generative Multimodal Foundation Model for Biomolecules This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/28/26 | AI Papers - 2026-04-28 | Today's papers: - GenMatter: Perceiving Physical Objects with Generative Matter Models: https://arxiv.org/abs/2604.22160v1 - Hard to See, Hard to Label: Generative and Symbolic Acquisition for Subtle Visual Phenomena: https://arxiv.org/abs/2604.22990v1 - LeHome: A Simulation Environment for Deformable Object Manipulation in Household Scenarios: https://arxiv.org/abs/2604.22363v1 - IndustryAssetEQA: A Neurosymbolic Operational Intelligence System for Embodied Question Answering in Industrial Asset Maintenance: https://arxiv.org/abs/2604.23446v1 - Agentic Adversarial Rewriting Exposes Architectural Vulnerabilities in Black-Box NLP Pipelines: https://arxiv.org/abs/2604.23483v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/27/26 | AI Papers - 2026-04-27 | Today's papers: - The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview: https://arxiv.org/abs/2604.21312v1 - ChangeQuery: Advancing Remote Sensing Change Analysis for Natural and Human-Induced Disasters from Visual Detection to Semantic Understanding: https://arxiv.org/abs/2604.22333v1 - PermaFrost-Attack: Stealth Pretraining Seeding(SPS) for planting Logic Landmines During LLM Training: https://arxiv.org/abs/2604.22117v1 - Emergent Strategic Reasoning Risks in AI: A Taxonomy-Driven Evaluation Framework: https://arxiv.org/abs/2604.22119v1 - Contexts are Never Long Enough: Structured Reasoning for Scalable Question Answering over Long Document Sets: https://arxiv.org/abs/2604.22294v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/24/26 |  Image Generators are Generalist Vision Learners - Deep Dive | https://arxiv.org/abs/2604.20329v1 What does it actually mean for a generative visual model to "understand" what it sees? That's the question driving this episode, and it turns out to be harder to answer than it sounds. We start with "Image Generators are Generalist Vision Learners," which introduces VisionBanana, a model built by instruction-tuning NanoBanana Pro on a mix of its original data and a small amount of task-specific vision data. The trick is reframing perception itself as image generation, treating outputs like segmentation masks and depth maps as RGB images. The result is a single generalist that holds its own against dedicated specialists like SAM3 and Depth Anything, suggesting image generation plays a role for vision similar to what next-token prediction plays for language. From there we widen the lens with two companion papers. The first asks whether video models can genuinely reason by generating frames, using maze-solving as a test. The second probes video world models from the inside, looking at where physical variables like velocity and mass are actually encoded. Together, the three papers sketch a more honest picture of what generative pretraining does, and doesn't, buy us. Related papers discussed: - Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks: https://arxiv.org/abs/2511.15065v1 - Interpreting Physics in Video World Models: https://arxiv.org/abs/2602.07050v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/24/26 | AI Papers - 2026-04-24 | Today's papers: - Image Generators are Generalist Vision Learners: https://arxiv.org/abs/2604.20329v1 - Centering Ecological Goals in Automated Identification of Individual Animals: https://arxiv.org/abs/2604.20626v1 - BioMiner: A Multi-modal System for Automated Mining of Protein-Ligand Bioactivity Data from Literature: https://arxiv.org/abs/2604.21508v1 - V-tableR1: Process-Supervised Multimodal Table Reasoning with Critic-Guided Policy Optimization: https://arxiv.org/abs/2604.20755v1 - ONOTE: Benchmarking Omnimodal Notation Processing for Expert-level Music Intelligence: https://arxiv.org/abs/2604.20719v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/23/26 | AI Papers - 2026-04-23 | Today's papers: - Neural posterior estimation of the neutrino direction in IceCube using transformer-encoded normalizing flows on the sphere: https://arxiv.org/abs/2604.19846v1 - Location Not Found: Exposing Implicit Local and Global Biases in Multilingual LLMs: https://arxiv.org/abs/2604.19292v1 - Large Language Models Exhibit Normative Conformity: https://arxiv.org/abs/2604.19301v1 - Design Rules for Extreme-Edge Scientific Computing on AI Engines: https://arxiv.org/abs/2604.19106v1 - Auditing and Controlling AI Agent Actions in Spreadsheets: https://arxiv.org/abs/2604.20070v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
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| 4/22/26 | AI Papers - 2026-04-22 | Today's papers: - OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens: https://arxiv.org/abs/2604.18827v1 - Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence: https://arxiv.org/abs/2604.18292v1 - The Collaboration Gap in Human-AI Work: https://arxiv.org/abs/2604.18096v1 - $R^2$-dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction: https://arxiv.org/abs/2604.18995v1 - WebCompass: Towards Multimodal Web Coding Evaluation for Code Language Models: https://arxiv.org/abs/2604.18224v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/21/26 | AI Papers - 2026-04-21 | Today's papers: - MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment: https://arxiv.org/abs/2604.17007v1 - Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale: https://arxiv.org/abs/2604.18572v1 - mEOL: Training-Free Instruction-Guided Multimodal Embedder for Vector Graphics and Image Retrieval: https://arxiv.org/abs/2604.17054v1 - Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval: https://arxiv.org/abs/2604.15951v2 - DGSSM: Diffusion guided state-space models for multimodal salient object detection: https://arxiv.org/abs/2604.17585v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/20/26 | AI Papers - 2026-04-20 | Today's papers: - Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval: https://arxiv.org/abs/2604.15951v1 - ECG-Lens: Benchmarking ML & DL Models on PTB-XL Dataset: https://arxiv.org/abs/2604.15822v1 - DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy: https://arxiv.org/abs/2604.15851v1 - NeuroLip: An Event-driven Spatiotemporal Learning Framework for Cross-Scene Lip-Motion-based Visual Speaker Recognition: https://arxiv.org/abs/2604.15718v1 - BAGEL: Benchmarking Animal Knowledge Expertise in Language Models: https://arxiv.org/abs/2604.16241v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/17/26 | AI Papers - 2026-04-17 | Today's papers: - Creo: From One-Shot Image Generation to Progressive, Co-Creative Ideation: https://arxiv.org/abs/2604.13956v1 - Agent-Aided Design for Dynamic CAD Models: https://arxiv.org/abs/2604.15184v1 - Blue Data Intelligence Layer: Streaming Data and Agents for Multi-source Multi-modal Data-Centric Applications: https://arxiv.org/abs/2604.15233v1 - Retrieve, Then Classify: Corpus-Grounded Automation of Clinical Value Set Authoring: https://arxiv.org/abs/2604.14616v1 - GeoAgentBench: A Dynamic Execution Benchmark for Tool-Augmented Agents in Spatial Analysis: https://arxiv.org/abs/2604.13888v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/17/26 | AI Papers - 2026-04-16 | Today's papers: - Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective: https://arxiv.org/abs/2604.14025v1 - GeoAgentBench: A Dynamic Execution Benchmark for Tool-Augmented Agents in Spatial Analysis: https://arxiv.org/abs/2604.13888v1 - A Dynamic-Growing Fuzzy-Neuro Controller, Application to a 3PSP Parallel Robot: https://arxiv.org/abs/2604.13763v1 - MAny: Merge Anything for Multimodal Continual Instruction Tuning: https://arxiv.org/abs/2604.14016v1 - HiVLA: A Visual-Grounded-Centric Hierarchical Embodied Manipulation System: https://arxiv.org/abs/2604.14125v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/17/26 | AI Papers - 2026-04-15 | Today's papers: - NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Professional Image Quality Assessment (Track 1): https://arxiv.org/abs/2604.12512v1 - RePAIR: Interactive Machine Unlearning through Prompt-Aware Model Repair: https://arxiv.org/abs/2604.12820v1 - Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation: https://arxiv.org/abs/2604.12424v1 - Fully Homomorphic Encryption on Llama 3 model for privacy preserving LLM inference: https://arxiv.org/abs/2604.12168v1 - MISID: A Multimodal Multi-turn Dataset for Complex Intent Recognition in Strategic Deception Games: https://arxiv.org/abs/2604.12700v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/17/26 | AI Papers - 2026-04-14 | Today's papers: - Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models: https://arxiv.org/abs/2604.09866v1 - Structuring versus Problematizing: How LLM-based Agents Scaffold Learning in Diagnostic Reasoning: https://arxiv.org/abs/2604.09158v1 - PhysInOne: Visual Physics Learning and Reasoning in One Suite: https://arxiv.org/abs/2604.09415v1 - HM-Bench: A Comprehensive Benchmark for Multimodal Large Language Models in Hyperspectral Remote Sensing: https://arxiv.org/abs/2604.08884v1 - Do LLMs Build Spatial World Models? Evidence from Grid-World Maze Tasks: https://arxiv.org/abs/2604.10690v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/13/26 | AI Papers - 2026-04-13 | Today's papers: - LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving: https://arxiv.org/abs/2604.08719v1 - Vision Transformers for Preoperative CT-Based Prediction of Histopathologic Chemotherapy Response Score in High-Grade Serous Ovarian Carcinoma: https://arxiv.org/abs/2604.09197v1 - An Imperfect Verifier is Good Enough: Learning with Noisy Rewards: https://arxiv.org/abs/2604.07666v1 - Squeeze Evolve: Unified Multi-Model Orchestration for Verifier-Free Evolution: https://arxiv.org/abs/2604.07725v2 - TensorHub: Scalable and Elastic Weight Transfer for LLM RL Training: https://arxiv.org/abs/2604.09107v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/13/26 | AI Papers - 2026-04-12 | Today's papers: - MedVR: Annotation-Free Medical Visual Reasoning via Agentic Reinforcement Learning: https://arxiv.org/abs/2604.08203v1 - IoT-Brain: Grounding LLMs for Semantic-Spatial Sensor Scheduling: https://arxiv.org/abs/2604.08033v1 - How Far Are Large Multimodal Models from Human-Level Spatial Action? A Benchmark for Goal-Oriented Embodied Navigation in Urban Airspace: https://arxiv.org/abs/2604.07973v1 - Networking-Aware Energy Efficiency in Agentic AI Inference: A Survey: https://arxiv.org/abs/2604.07857v1 - Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification: https://arxiv.org/abs/2604.08333v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/11/26 | AI Papers - 2026-04-11 | Today's papers: - Emotion Concepts and their Function in a Large Language Model: https://arxiv.org/abs/2604.07729v1 - Small Vision-Language Models are Smart Compressors for Long Video Understanding: https://arxiv.org/abs/2604.08120v1 - PokeGym: A Visually-Driven Long-Horizon Benchmark for Vision-Language Models: https://arxiv.org/abs/2604.08340v1 - Uni-ViGU: Towards Unified Video Generation and Understanding via A Diffusion-Based Video Generator: https://arxiv.org/abs/2604.08121v1 - Revise: A Framework for Revising OCRed text in Practical Information Systems with Data Contamination Strategy: https://arxiv.org/abs/2604.08115v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/10/26 | AI Papers - 2026-04-10 | Today's papers: - LPM 1.0: Video-based Character Performance Model: https://arxiv.org/abs/2604.07823v1 - HistDiT: A Structure-Aware Latent Conditional Diffusion Model for High-Fidelity Virtual Staining in Histopathology: https://arxiv.org/abs/2604.08305v1 - Enabling Intrinsic Reasoning over Dense Geospatial Embeddings with DFR-Gemma: https://arxiv.org/abs/2604.07490v1 - Faithful GRPO: Improving Visual Spatial Reasoning in Multimodal Language Models via Constrained Policy Optimization: https://arxiv.org/abs/2604.08476v1 - Sparse-Aware Neural Networks for Nonlinear Functionals: Mitigating the Exponential Dependence on Dimension: https://arxiv.org/abs/2604.06774v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/9/26 | AI Papers - 2026-04-09 | Today's papers: - LLMs Should Express Uncertainty Explicitly: https://arxiv.org/abs/2604.05306v1 - Semantic-Topological Graph Reasoning for Language-Guided Pulmonary Screening: https://arxiv.org/abs/2604.05620v1 - Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models: https://arxiv.org/abs/2604.06912v1 - Flowr -- Scaling Up Retail Supply Chain Operations Through Agentic AI in Large Scale Supermarket Chains: https://arxiv.org/abs/2604.05987v1 - Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees: https://arxiv.org/abs/2604.06515v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/8/26 | AI Papers - 2026-04-08 | Today's papers: - StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing: https://arxiv.org/abs/2604.05014v1 - QED-Nano: Teaching a Tiny Model to Prove Hard Theorems: https://arxiv.org/abs/2604.04898v1 - Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models: https://arxiv.org/abs/2604.05497v1 - MedGemma 1.5 Technical Report: https://arxiv.org/abs/2604.05081v1 - One Model for All: Multi-Objective Controllable Language Models: https://arxiv.org/abs/2604.04497v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/7/26 | AI Papers - 2026-04-07 | Today's papers: - A Generative Foundation Model for Multimodal Histopathology: https://arxiv.org/abs/2604.03635v1 - TableVision: A Large-Scale Benchmark for Spatially Grounded Reasoning over Complex Hierarchical Tables: https://arxiv.org/abs/2604.03660v1 - ROSClaw: A Hierarchical Semantic-Physical Framework for Heterogeneous Multi-Agent Collaboration: https://arxiv.org/abs/2604.04664v1 - FeynmanBench: Benchmarking Multimodal LLMs on Diagrammatic Physics Reasoning: https://arxiv.org/abs/2604.03893v1 - Chart-RL: Policy Optimization Reinforcement Learning for Enhanced Visual Reasoning in Chart Question Answering with Vision Language Models: https://arxiv.org/abs/2604.03157v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
| 4/6/26 | AI Papers - 2026-04-06 | Today's papers: - Analysis of Optimality of Large Language Models on Planning Problems: https://arxiv.org/abs/2604.02910v1 - Efficient3D: A Unified Framework for Adaptive and Debiased Token Reduction in 3D MLLMs: https://arxiv.org/abs/2604.02689v1 - How and why does deep ensemble coupled with transfer learning increase performance in bipolar disorder and schizophrenia classification?: https://arxiv.org/abs/2604.02002v1 - The AnIML Ontology: Enabling Semantic Interoperability for Large-Scale Experimental Data in Interconnected Scientific Labs: https://arxiv.org/abs/2604.01728v1 - GenGait: A Transformer-Based Model for Human Gait Anomaly Detection and Normative Twin Generation: https://arxiv.org/abs/2604.01997v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs. | — | ||||||
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