Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
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内容由Igor Melnyk提供。所有播客内容（包括剧集、图形和播客描述）均由 Igor Melnyk 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
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<div class="span index">1</div> <span><a class="" data-remote="true" data-type="html" href="/series/this-is-womans-work-with-nicole-kalil">This Is Woman's Work with Nicole Kalil</a></span>
Together, we're redefining what it means, looks and feels like, to be doing "woman's work" in the world today. With confidence and the occasional rant. From boardrooms to studios, kitchens to coding dens, we explore the multifaceted experiences of today's woman, confirming that the new definition of "woman's work" is whatever feels authentic, true, and right for you. We're shedding expectations, setting aside the "shoulds", giving our finger to the "supposed tos". We're torching the old playbook and writing our own rules. Who runs the world? You decide. Learn more at nicolekalil.com
[QA] Consistency Checks for Language Model Forecasters
Manage episode 457443916 series 3524393
内容由Igor Melnyk提供。所有播客内容（包括剧集、图形和播客描述）均由 Igor Melnyk 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
The paper proposes a consistency metric for evaluating forecasting AIs, using arbitrage principles, and introduces an automated system to benchmark predictions against logically-related questions.
https://arxiv.org/abs//2412.18544
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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Manage episode 457443916 series 3524393
内容由Igor Melnyk提供。所有播客内容（包括剧集、图形和播客描述）均由 Igor Melnyk 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
The paper proposes a consistency metric for evaluating forecasting AIs, using arbitrage principles, and introduces an automated system to benchmark predictions against logically-related questions.
https://arxiv.org/abs//2412.18544
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
1973集单集
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The paper introduces Chain of Draft (CoD), a method for LLMs that generates concise intermediate reasoning, improving efficiency and accuracy compared to traditional verbose approaches like Chain-of-Thought (CoT). https://arxiv.org/abs//2502.18600 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers…
The paper introduces Chain of Draft (CoD), a method for LLMs that generates concise intermediate reasoning, improving efficiency and accuracy compared to traditional verbose approaches like Chain-of-Thought (CoT). https://arxiv.org/abs//2502.18600 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers…
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Arxiv Papers
This work addresses challenges in reinforcement learning for humanoid dexterous manipulation, introducing techniques for sim-to-real tuning, reward design, and sample efficiency, achieving robust performance without human demonstration. https://arxiv.org/abs//2502.20396 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers…
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This work addresses challenges in reinforcement learning for humanoid dexterous manipulation, introducing techniques for sim-to-real tuning, reward design, and sample efficiency, achieving robust performance without human demonstration. https://arxiv.org/abs//2502.20396 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers…
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DIFFUSEARCH enhances planning in Large Language Models through implicit search via discrete diffusion, outperforming traditional search methods in Chess and improving action accuracy and puzzle-solving abilities. https://arxiv.org/abs//2502.19805 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers…
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DIFFUSEARCH enhances planning in Large Language Models through implicit search via discrete diffusion, outperforming traditional search methods in Chess and improving action accuracy and puzzle-solving abilities. https://arxiv.org/abs//2502.19805 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers…
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The paper reveals that minor tokens in LLMs significantly impact contextual understanding, with a toolkit, LLM-Microscope, developed to analyze their importance and evaluate contextual memory and nonlinearity. https://arxiv.org/abs//2502.15007 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers…
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类似 Arxiv Papers 的节目
Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
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continue reading
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continue reading
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continue reading
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continue reading
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