This podcast was created entirely by AI and based on the following research paper:

• Title: How Hungry is AI? Benchmarking Energy, Water, and Carbon Footprint of LLM Inference
• Source: arXiv
• Authors: Nidhal Jegham et al.
• Published Date: 2025-05-15

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: Beyond Time: Unveiling the Invisible Burden of Mental Load
• Source: arXiv
• Authors: Francesca Barigozzi et al.
• Published Date: 2025-05-19

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This podcast was created entirely by AI and based on the following research paper:

• Title: LLMs Get Lost In Multi-Turn Conversation
• Source: arXiv
• Authors: Philippe Laban et al.
• Published Date: 2025-05-09

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This podcast was created entirely by AI and based on the following research paper:

• Title: Attention Mechanism in Neural Networks: Where it Comes and Where it Goes
• Source: arXiv
• Authors: Derya Soydaner
• Published Date: 2022-04-27

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This podcast was created entirely by AI and based on the following research paper:

• Title: The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis
• Source: Humanities and Social Sciences Communications
• Authors: Jin Wang et al.
• Published Date: 2025-01-01

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This podcast was created entirely by AI and based on the following research paper:

• Title: The intra-individual power of contact: Investigating when, how and why intergroup contact and intergroup outcomes fluctuate together
• Source: European Journal of Social Psychology
• Authors: Jessica Boin et al.
• Published Date: 2023-11-04

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This podcast was created entirely by AI and based on the following research paper:

• Title: Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
• Source: arXiv
• Authors: Yang Yue et al.
• Published Date: 2025-04-18

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This podcast was created entirely by AI and based on the following research paper:

• Title: Towards Combinatorial Interpretability of Neural Computation
• Source: arXiv
• Authors: Micah Adler et al.
• Published Date: 2025-04-10

Visit www.paper2podcast.com to download the full paper and learn more. Thanks for listening!