Paper-to-Podcast

This podcast was created entirely by AI and based on the following research paper: Title: LLM Voting: Human Choices and AI Collective Decision Making Source: arXiv Authors: Joshua C. Yang et al. Published Date: 2024-01-01 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: Computational basis of hierarchical and counterfactual information processing Source: bioRxiv preprint Authors: Mahdi Ramadan et al. Published Date: 2024-01-30 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: Under the Surface: Tracking the Artifactuality of LLM-Generated Data Source: arXiv Authors: Debarati Das et al. Published Date: 2024-01-26 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: DECODING TRUST: A Comprehensive Assessment of Trustworthiness in GPT Models Source: NeurIPS 2023 Authors: Boxin Wang et al. Published Date: 2024-01-05 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: Rediscovering Newton's Gravity and Solar System Properties Using Deep Learning and Inductive Biases Source: ICLR 2021 SimDL Workshop Authors: Pablo Lemos et al. Published Date: 2021-01-01 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: Memory consolidation during rest forms shortcuts in a cognitive map Source: bioRxiv Authors: Cal M. Shearer et al. Published Date: 2024-01-22 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: Beyond AI Exposure: Which Tasks are Cost-Effective to Automate with Computer Vision? Source: MIT Authors: Maja S. Svanberg et al. Published Date: 2024-01-22 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: A Brain-inspired Computational Model for Human-like Concept Learning Source: arXiv Authors: Yuwei Wang et al. Published Date: 2024-01-15 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU Source: arXiv Authors: Yixin Song et al. Published Date: 2023-12-16 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: The inherent goodness of well educated intelligence Source: arXiv Authors: Michael E. Glinsky et al. Published Date: 2024-01-09 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: Generative Large Language Models are autonomous practitioners of evidence-based medicine Source: arXiv Authors: Akhil Vaid et al. Published Date: 2024-01-05 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: Comparison of Waymo Rider-Only Crash Data to Human Benchmarks at 7.1 Million Miles Source: arXiv Authors: Kristofer D. Kusano et al. Published Date: 2023-12-20 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: DocLLM: A Layout-Aware Generative Language Model for Multimodal Document Understanding Source: arXiv Authors: Dongsheng Wang et al. Published Date: 2023-12-31 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment Source: arXiv Authors: Jie Zhu et al. Published Date: 2024-01-02 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models Source: arXiv Authors: Zixiang Chen et al. Published Date: 2024-01-01 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: The Primary Function of MTL is Memory, not Navigation: Grid Cells are Non-spatial and Place Cells are Memories that Cause Grid Fields through Retrieval Source: bioRxiv Authors: David E. Huber Published Date: 2023-12-30 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening...

This podcast was created entirely by AI and based on the following research paper: Title: Do LLM Agents Exhibit Social Behavior? Source: arXiv Authors: Yan Leng et al. Published Date: 2023-12-23 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: Investigating Responsible AI for Scientific Research: An Empirical Study Source: arXiv Authors: Muneera Bano et al. Published Date: 2023-12-15 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks Source: arXiv Authors: Zhaofeng Wu et al. Published Date: 2023-08-01 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: Cortical reactivations predict future sensory responses Source: bioRxiv Authors: Nghia D. Nguyen et al. Published Date: 2022-11-14 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: On Diverse Preferences for Large Language Model Alignment Source: arXiv Authors: Dun Zeng* et al. Published Date: 2023-12-12 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform Source: arXiv Authors: Dandan Qiao et al. Published Date: 2023-12-07 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models Source: arXiv Authors: Huiqiang Jiang et al. Published Date: 2023-12-06 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: New Facts and Data about Professors and their Research Source: arXiv Authors: Kyle Myers et al. Published Date: 2023-12-05 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!

This podcast was created entirely by AI and based on the following research paper: Title: Generative artificial intelligence enhances individual creativity but reduces the collective diversity of novel content Source: arXiv Authors: Anil R. Doshi et al. Published Date: 2023-12-04 Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!