DailyArxiv - AI Research Podcast

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.

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.

Today's papers: This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models - Structuring versus Problematizing: How LLM-based Agents Scaffold Learning in Diagnostic Reasoning - PhysInOne: Visual Physics Learning and Reasoning in One Suite - HM-Bench: A Comprehensive Benchmark for Multimodal Large Language Models in Hyperspectral Remote Sensing - Do LLMs Build Spatial World Models? Evidence from Grid-World Maze Tasks This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

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.

Today's papers: - MedVR: Annotation-Free Medical Visual Reasoning via Agentic Reinforcement Learning - IoT-Brain: Grounding LLMs for Semantic-Spatial Sensor Scheduling - How Far Are Large Multimodal Models from Human-Level Spatial Action? A Benchmark for Goal-Oriented Embodied Navigation in Urban Airspace - Networking-Aware Energy Efficiency in Agentic AI Inference: A Survey - Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

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.

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.

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.

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.

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.

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/2604.01997...

https://www.nature.com/articles/s41562-025-02324-0 **Episode Description** Ever wonder how your brain learns from rewards? For decades, scientists have used simple reinforcement learning models to explain this—basically, your brain keeps a running score and updates it with each new experience. But a fascinating new study suggests that picture is way too simple. Researchers built hybrid models combining neural networks with traditional cognitive frameworks to study how humans actually learn from rewards. Using a large dataset of human behavior, they discovered something striking: our brains don't just keep simple tallies. Instead, we maintain rich, flexible memory sy...

Today's papers: - Transformer self-attention encoder-decoder with multimodal deep learning for response time series forecasting and digital twin support in wind structural health monitoring: https://arxiv.org/abs/2604.01712v1 - DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning: https://arxiv.org/abs/2604.01765v1 - SHOE: Semantic HOI Open-Vocabulary Evaluation Metric: https://arxiv.org/abs/2604.01586v1 - Answering the Wrong Question: Reasoning Trace Inversion for Abstention in LLMs: https://arxiv.org/abs/2604.02230v1 - Steerable Visual Representations: https://arxiv.org/abs/2604.02327v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Not All Tokens See Equally: Perception-Grounded Policy Optimization for Large Vision-Language Models: https://arxiv.org/abs/2604.01840v1 - ActionParty: Multi-Subject Action Binding in Generative Video Games: https://arxiv.org/abs/2604.02330v1 - ImplicitBBQ: Benchmarking Implicit Bias in Large Language Models through Characteristic Based Cues: https://arxiv.org/abs/2604.01925v1 - Omni123: Exploring 3D Native Foundation Models with Limited 3D Data by Unifying Text to 2D and 3D Generation: https://arxiv.org/abs/2604.02289v1 - Multi-Agent Video Recommenders: Evolution, Patterns, and Open Challenges: https://arxiv.org/abs/2604.02211v1 This podcast is from Colin Davis (colin-davis.com) using Claude...

Today's papers: - Online Reasoning Calibration: Test-Time Training Enables Generalizable Conformal LLM Reasoning: https://arxiv.org/abs/2604.01170v1 - LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches: https://arxiv.org/abs/2604.01754v1 - Lifting Unlabeled Internet-level Data for 3D Scene Understanding: https://arxiv.org/abs/2604.01907v1 - Look Twice: Training-Free Evidence Highlighting in Multimodal Large Language Models: https://arxiv.org/abs/2604.01280v1 - Efficient Constraint Generation for Stochastic Shortest Path Problems: https://arxiv.org/abs/2604.01855v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation: https://arxiv.org/abs/2604.00493v1 - Brainstacks: Cross-Domain Cognitive Capabilities via Frozen MoE-LoRA Stacks for Continual LLM Learning: https://arxiv.org/abs/2604.01152v1 - Towards Reliable Truth-Aligned Uncertainty Estimation in Large Language Models: https://arxiv.org/abs/2604.00445v1 - Beyond Symbolic Solving: Multi Chain-of-Thought Voting for Geometric Reasoning in Large Language Models: https://arxiv.org/abs/2604.00890v1 - MAESIL: Masked Autoencoder for Enhanced Self-supervised Medical Image Learning: https://arxiv.org/abs/2604.00514v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Towards Effective Experiential Learning: Dual Guidance for Utilization and Internalization: https://arxiv.org/abs/2603.24093v1 - SM-Net: Learning a Continuous Spectral Manifold from Multiple Stellar Libraries: https://arxiv.org/abs/2603.23899v2 - A Deep Dive into Scaling RL for Code Generation with Synthetic Data and Curricula: https://arxiv.org/abs/2603.24202v1 - When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm: https://arxiv.org/abs/2603.24079v1 - CUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use Agents: https://arxiv.org/abs/2603.24440v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - SpatialReward: Verifiable Spatial Reward Modeling for Fine-Grained Spatial Consistency in Text-to-Image Generation: https://arxiv.org/abs/2603.22228v1 - Mind over Space: Can Multimodal Large Language Models Mentally Navigate?: https://arxiv.org/abs/2603.21577v1 - Tiny Inference-Time Scaling with Latent Verifiers: https://arxiv.org/abs/2603.22492v2 - Cerebra: A Multidisciplinary AI Board for Multimodal Dementia Characterization and Risk Assessment: https://arxiv.org/abs/2603.21597v2 - Ego2Web: A Web Agent Benchmark Grounded in Egocentric Videos: https://arxiv.org/abs/2603.22529v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - The Library Theorem: How External Organization Governs Agentic Reasoning Capacity: https://arxiv.org/abs/2603.21272v1 - AgentHER: Hindsight Experience Replay for LLM Agent Trajectory Relabeling: https://arxiv.org/abs/2603.21357v1 - RoboAlign: Learning Test-Time Reasoning for Language-Action Alignment in Vision-Language-Action Models: https://arxiv.org/abs/2603.21341v1 - QMoP: Query Guided Mixture-of-Projector for Efficient Visual Token Compression: https://arxiv.org/abs/2603.21232v1 - Fusing Memory and Attention: A study on LSTM, Transformer and Hybrid Architectures for Symbolic Music Generation: https://arxiv.org/abs/2603.21282v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - SortedRL: Accelerating RL Training for LLMs through Online Length-Aware Scheduling: https://arxiv.org/abs/2603.23414v1 - Contrastive Metric Learning for Point Cloud Segmentation in Highly Granular Detectors: https://arxiv.org/abs/2603.23356v1 - VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAs: https://arxiv.org/abs/2603.23481v1 - LLMLOOP: Improving LLM-Generated Code and Tests through Automated Iterative Feedback Loops: https://arxiv.org/abs/2603.23613v1 - Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation: https://arxiv.org/abs/2603.23398v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - The data heat island effect: quantifying the impact of AI data centers in a warming world: https://arxiv.org/abs/2603.20897v1 - gUFO: A Gentle Foundational Ontology for Semantic Web Knowledge Graphs: https://arxiv.org/abs/2603.20948v1 - Seed1.8 Model Card: Towards Generalized Real-World Agency: https://arxiv.org/abs/2603.20633v1 - Characterizing the onset and offset of motor imagery during passive arm movements induced by an upper-body exoskeleton: https://arxiv.org/abs/2603.20885v1 - From Causal Discovery to Dynamic Causal Inference in Neural Time Series: https://arxiv.org/abs/2603.20980v1 This podcast is from Colin Davis (colin-davis...

Today's papers: - Agentic Business Process Management: A Research Manifesto: https://arxiv.org/abs/2603.18916v2 - Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation: https://arxiv.org/abs/2603.19220v2 - Reasoning over mathematical objects: on-policy reward modeling and test time aggregation: https://arxiv.org/abs/2603.18886v1 - Measuring and Exploiting Confirmation Bias in LLM-Assisted Security Code Review: https://arxiv.org/abs/2603.18740v1 - ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs: https://arxiv.org/abs/2603.18579v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Interpretable Cross-Domain Few-Shot Learning with Rectified Target-Domain Local Alignment: https://arxiv.org/abs/2603.17655v2 - Procedural Generation of Algorithm Discovery Tasks in Machine Learning: https://arxiv.org/abs/2603.17863v1 - IndicSafe: A Benchmark for Evaluating Multilingual LLM Safety in South Asia: https://arxiv.org/abs/2603.17915v1 - How do LLMs Compute Verbal Confidence: https://arxiv.org/abs/2603.17839v1 - How LLMs Distort Our Written Language: https://arxiv.org/abs/2603.18161v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Fanar 2.0: Arabic Generative AI Stack: https://arxiv.org/abs/2603.16397v1 - IQuest-Coder-V1 Technical Report: https://arxiv.org/abs/2603.16733v1 - Surg$Σ$: A Spectrum of Large-Scale Multimodal Data and Foundation Models for Surgical Intelligence: https://arxiv.org/abs/2603.16822v1 - Characterizing Delusional Spirals through Human-LLM Chat Logs: https://arxiv.org/abs/2603.16567v1 - Demystifing Video Reasoning: https://arxiv.org/abs/2603.16870v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition: https://arxiv.org/abs/2603.15714v1 - The PokeAgent Challenge: Competitive and Long-Context Learning at Scale: https://arxiv.org/abs/2603.15563v2 - A Family of LLMs Liberated from Static Vocabularies: https://arxiv.org/abs/2603.15953v1 - RoCo Challenge at AAAI 2026: Benchmarking Robotic Collaborative Manipulation for Assembly Towards Industrial Automation: https://arxiv.org/abs/2603.15469v1 - MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification: https://arxiv.org/abs/2603.15726v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - MBD: A Model-Based Debiasing Framework Across User, Content, and Model Dimensions: https://arxiv.org/abs/2603.14422v1 - A comprehensive multimodal dataset and benchmark for ulcerative colitis scoring in endoscopy: https://arxiv.org/abs/2603.14559v1 - Data Darwinism Part II: DataEvolve -- AI can Autonomously Evolve Pretraining Data Curation: https://arxiv.org/abs/2603.14420v1 - Agentic DAG-Orchestrated Planner Framework for Multi-Modal, Multi-Hop Question Answering in Hybrid Data Lakes: https://arxiv.org/abs/2603.14229v1 - Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange: https://arxiv.org/abs/2603.14312v1 This podcast is from Colin Davis (colin-davis.com) using Claude...

Today's papers: - Facial beauty prediction fusing transfer learning and broad learning system: https://arxiv.org/abs/2603.16930v1 - Human-like Object Grouping in Self-supervised Vision Transformers: https://arxiv.org/abs/2603.13994v1 - TheraAgent: Multi-Agent Framework with Self-Evolving Memory and Evidence-Calibrated Reasoning for PET Theranostics: https://arxiv.org/abs/2603.13676v1 - Intelligent Materials Modelling: Large Language Models Versus Partial Least Squares Regression for Predicting Polysulfone Membrane Mechanical Performance: https://arxiv.org/abs/2603.13834v1 - A Benchmark for Multi-Party Negotiation Games from Real Negotiation Data: https://arxiv.org/abs/2603.14066v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - IGASA: Integrated Geometry-Aware and Skip-Attention Modules for Enhanced Point Cloud Registration: https://arxiv.org/abs/2603.12719v1 - Finite Difference Flow Optimization for RL Post-Training of Text-to-Image Models: https://arxiv.org/abs/2603.12893v1 - AI Model Modulation with Logits Redistribution: https://arxiv.org/abs/2603.12755v1 - A Causal Framework for Mitigating Data Shifts in Healthcare: https://arxiv.org/abs/2603.13595v1 - Self-Flow-Matching assisted Full Waveform Inversion: https://arxiv.org/abs/2603.13425v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Resource-Efficient Iterative LLM-Based NAS with Feedback Memory: https://arxiv.org/abs/2603.12091v1 - A Dynamic Survey of Fuzzy, Intuitionistic Fuzzy, Neutrosophic, Plithogenic, and Extensional Sets: https://arxiv.org/abs/2603.15667v1 - RDNet: Region Proportion-Aware Dynamic Adaptive Salient Object Detection Network in Optical Remote Sensing Images: https://arxiv.org/abs/2603.12215v1 - Entropy-Preserving Reinforcement Learning: https://arxiv.org/abs/2603.11682v1 - OMNIA: Closing the Loop by Leveraging LLMs for Knowledge Graph Completion: https://arxiv.org/abs/2603.11820v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Deep Randomized Distributed Function Computation (DeepRDFC): Neural Distributed Channel Simulation: https://arxiv.org/abs/2603.10750v1 - AI Psychometrics: Evaluating the Psychological Reasoning of Large Language Models with Psychometric Validities: https://arxiv.org/abs/2603.11279v1 - IH-Challenge: A Training Dataset to Improve Instruction Hierarchy on Frontier LLMs: https://arxiv.org/abs/2603.10521v1 - Markovian Generation Chains in Large Language Models: https://arxiv.org/abs/2603.11228v1 - The Unlearning Mirage: A Dynamic Framework for Evaluating LLM Unlearning: https://arxiv.org/abs/2603.11266v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand - First Estimation of Model Parameters for Neutrino-Induced Nucleon Knockout Using Simulation-Based Inference - Towards a Neural Debugger for Python - From Data Statistics to Feature Geometry: How Correlations Shape Superposition - OpenClaw-RL: Train Any Agent Simply by Talking This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - A prospective clinical feasibility study of a conversational diagnostic AI in an ambulatory primary care clinic: https://arxiv.org/abs/2603.08448v2 - DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation: https://arxiv.org/abs/2603.08090v1 - \$OneMillion-Bench: How Far are Language Agents from Human Experts?: https://arxiv.org/abs/2603.07980v1 - CoCo: Code as CoT for Text-to-Image Preview and Rare Concept Generation: https://arxiv.org/abs/2603.08652v1 - CORE-Acu: Structured Reasoning Traces and Knowledge Graph Safety Verification for Acupuncture Clinical Decision Support: https://arxiv.org/abs/2603.08321v1 This podcast is from...

Today's papers: - GRD-Net: Generative-Reconstructive-Discriminative Anomaly Detection with Region of Interest Attention Module: https://arxiv.org/abs/2603.07566v1 - A Novel Multi-Agent Architecture to Reduce Hallucinations of Large Language Models in Multi-Step Structural Modeling: https://arxiv.org/abs/2603.07728v1 - AI-Driven Phase Identification from X-ray Hyperspectral Imaging of cycled Na-ion Cathode Materials: https://arxiv.org/abs/2603.07666v1 - AI Steerability 360: A Toolkit for Steering Large Language Models: https://arxiv.org/abs/2603.07837v1 - Adaptive Capacity Allocation for Vision Language Action Fine-tuning: https://arxiv.org/abs/2603.07404v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - MAviS: A Multimodal Conversational Assistant For Avian Species: https://arxiv.org/abs/2603.07294v1 - Foundational World Models Accurately Detect Bimanual Manipulator Failures: https://arxiv.org/abs/2603.06987v1 - Permutation-Equivariant 2D State Space Models: Theory and Canonical Architecture for Multivariate Time Series: https://arxiv.org/abs/2603.08753v1 - Enhancing Consistency of Werewolf AI through Dialogue Summarization and Persona Information: https://arxiv.org/abs/2603.07111v1 - Bi-directional digital twin prototype anchoring with multi-periodicity learning for few-shot fault diagnosis: https://arxiv.org/abs/2603.07054v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Facial Expression Recognition Using Residual Masking Network: https://arxiv.org/abs/2603.05937v1 - Computational Pathology in the Era of Emerging Foundation and Agentic AI -- International Expert Perspectives on Clinical Integration and Translational Readiness: https://arxiv.org/abs/2603.05884v2 - Bi Directional Feedback Fusion for Activity Aware Forecasting of Indoor CO2 and PM2.5: https://arxiv.org/abs/2603.06724v1 - Agentic retrieval-augmented reasoning reshapes collective reliability under model variability in radiology question answering: https://arxiv.org/abs/2603.06271v1 - CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation: https://arxiv.org/abs/2603.06183v1 This podcast is from...

Today's papers: - FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning: https://arxiv.org/abs/2603.05116v1 - AI+HW 2035: Shaping the Next Decade: https://arxiv.org/abs/2603.05225v1 - Real-Time AI Service Economy: A Framework for Agentic Computing Across the Continuum: https://arxiv.org/abs/2603.05614v1 - The Rise of AI in Weather and Climate Information and its Impact on Global Inequality: https://arxiv.org/abs/2603.05710v1 - DSA-SRGS: Super-Resolution Gaussian Splatting for Dynamic Sparse-View DSA Reconstruction: https://arxiv.org/abs/2603.04770v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - End-to-end event reconstruction for precision physics at future colliders: https://arxiv.org/abs/2603.04084v1 - RANGER: Sparsely-Gated Mixture-of-Experts with Adaptive Retrieval Re-ranking for Pathology Report Generation: https://arxiv.org/abs/2603.04348v1 - Towards Explainable Deep Learning for Ship Trajectory Prediction in Inland Waterways: https://arxiv.org/abs/2603.04472v1 - Image-based Prompt Injection: Hijacking Multimodal LLMs through Visually Embedded Adversarial Instructions: https://arxiv.org/abs/2603.03637v1 - ECG-MoE: Mixture-of-Expert Electrocardiogram Foundation Model: https://arxiv.org/abs/2603.04589v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.

Today's papers: - Revealing Positive and Negative Role Models to Help People Make Good Decisions: https://arxiv.org/abs/2603.02495v1 - Learning Unified Distance Metric for Heterogeneous Attribute Data Clustering: https://arxiv.org/abs/2603.04458v1 - MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning: https://arxiv.org/abs/2603.03379v1 - cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series: https://arxiv.org/abs/2603.03040v1 - Baseline Performance of AI Tools in Classifying Cognitive Demand of Mathematical Tasks: https://arxiv.org/abs/2603.03512v1 This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.