Loading…
Hosted by DailyArxiv · 🇺🇸 US · EN-US · 145 episodes
Established thought leaders with verified media credentials.
Daily summaries of the top AI research papers from arXiv, presented in an accessible two-host format.
DailyArxiv hosts DailyArxiv - AI Research Podcast, a technology show with 145 episodes published.
Today's papers: - Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing: https://arxiv.org/abs/2607.19064v2 - Attributes Should Come from Images, Not Class Names: Distribution-Condit
Today's papers: - HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation: https://arxiv.org/abs/2607.17461v1 - Coarse-to-fine Framework for Generative MEF v
Today's papers: - Frontier AI performance across the business disciplines: a case-grounded benchmark of knowledge work and analytical reasoning: https://arxiv.org/abs/2607.16057v1 - ThAME: 3D Memory-Enabled Heterogeneous
Today's papers: - Verbalizable Representations Form a Global Workspace in Language Models: https://arxiv.org/abs/2607.15495v1 - Orbis 2: A Hierarchical World Model for Driving: https://arxiv.org/abs/2607.15898v1 - RoboTT
Today's papers: - Towards a Unified Multidimensional Explainability Metric: Evaluating Trustworthiness in AI Models: https://arxiv.org/abs/2607.14315v1 - RxBrain: Embodied Cognition Foundation Model with Joint Language-V
Today's papers: - Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks: https://arxiv.org/abs/2607.07907v1 - COBART: Controlled, Optimized, Bidirectional and Auto-R
Today's papers: - Ad Headline Generation using Self-Critical Masked Language Model: https://arxiv.org/abs/2607.06818v1 - SPEAR: A Simulator for Photorealistic Embodied AI Research: https://arxiv.org/abs/2607.06701v1 - To
Today's papers: - Unified Audio Intelligence Without Regressing on Text Intelligence: https://arxiv.org/abs/2607.05196v2 - LLM-as-a-Verifier: A General-Purpose Verification Framework: https://arxiv.org/abs/2607.05391v2 -
Today's papers: - Where do LLMs Fall Short in CBT-Guided Affective Reasoning?: https://arxiv.org/abs/2607.02885v1 - DynaVieW: Schema-Guided World Modeling for Understanding Hierarchical Visual Dynamics: https://arxiv.org
Today's papers: - PACE: A Proxy for Agentic Capability Evaluation: https://arxiv.org/abs/2607.02032v1 - Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction: https://arxiv.org/abs/2607.0
Today's papers: - Loss Smoothing for Stable Adaptation Under Distribution Shift: https://arxiv.org/abs/2607.00634v1 - Coachable agents for interactive gameplay: https://arxiv.org/abs/2607.00642v1 - Diffusion-GR2: Diffusi
Today's papers: - Learning from Failure: Inference-Time Self-Improvement for Computer-Use Agents: https://arxiv.org/abs/2606.31270v1 - A Technical Typology of AI Systems in Public Administration: https://arxiv.org/abs/26
Today's papers: - SABER-Math: Automated Benchmark for Information Retrieval Evaluation in Mathematics - Mandol: An Agglomerative Agent Memory System for Long-Term Conversations - TDGT: A Tabular Data Generation Toolkit s
Today's papers: - Parallel Rollout Approximation for Pixel-Space Autoregressive Image Generation: https://arxiv.org/abs/2606.27978v1 - The CRISTAL Method: Neurosymbolic analysis from AI-synthesized world models: https://
Today's papers: - Autoregressive Boltzmann Generators: https://arxiv.org/abs/2606.27361v1 - Triadic Werewolf: A Jester Role for Multi-Hop Theory of Mind in LLMs: https://arxiv.org/abs/2606.27909v1 - A Latent ODE Approach
Today's papers: - The Capability Frontier: Benchmarks Miss 82% of Model Performance: https://arxiv.org/abs/2606.26836v1 - Perception, Verdict, and Evolution: Hindsight-Driven Self-Refining Forensics Agent for AI-Generate
Today's papers: - Project Auto-World: Towards Automated Benchmarking of Neural Relational Reasoners: https://arxiv.org/abs/2606.24965v1 - Benchmarking the Alignment of Data-Quality Metrics, Human Judgment and Land-Cover
Today's papers: - Female-RHINO: A Real-Time Scanner-Integrated Framework for Automated Quantitative Uterine MRI Analysis and Structured Reporting: https://arxiv.org/abs/2606.24390v1 - A Fair Evaluation of Graph Foundatio
Today's papers: - Generating Public Health Responses using Survey-Augmented Large Language Models: https://arxiv.org/abs/2606.21820v1 - Evaluating Large Language Models for Hausa and Fongbe Machine Translation: Benchmark
Today's papers: - L-TGVN: Leveraging Longitudinal Priors for Personalized Rapid MRI: https://arxiv.org/abs/2606.04419v1 - MapAgent: An Industrial-Grade Agentic Framework for City-scale Lane-level Map Generation: https://
Sponsor detection runs nightly. Check back soon.
No public pitch examples yet for this show.
Generate your own personalised pitchBased on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
DailyArxiv - AI Research Podcast has a verified contact on file. Create a free PitchCentric account to access it and generate a personalised pitch in seconds. Research at least 3 recent episodes first and lead with a specific angle that serves their technology audience.
DailyArxiv - AI Research Podcast is hosted by DailyArxiv. The show is categorised under technology and has published 145 episodes.
DailyArxiv - AI Research Podcast has published 145 episodes.
DailyArxiv - AI Research Podcast regularly covers technology. It sits in the technology category.
DailyArxiv - AI Research Podcast is accessible for guests with genuine technology expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
DailyArxiv - AI Research Podcast hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of DailyArxiv - AI Research Podcast average 13 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates DailyArxiv - AI Research Podcast's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 6 days ago.