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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Come dive into one of the curiously delightful conversations overheard at National Geographic’s headquarters, as we follow explorers, photographers, and scientists to the edges of our big, weird, beautiful world. Hosted by Peter Gwin and Amy Briggs.
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The BMJ brings you interviews with the people who are shaping medicine and science around the world.
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Science Friction has a new series: Cooked. We dig into food science pickles. Why are studies showing that ice cream could be good for you? Do we really need as many electrolytes as the internet says? And why are people feeling good on the carnivore diet? Nutrition and food scientist Dr Emma Beckett takes us through what the evidence says about food categories and ingredients like meat, dairy and salt — and unpick why nutrition studies can be so conflicting and confusing. Airs Wednesday 11:30 ...
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We humans could have a bright future ahead of us that lasts billions of years. But we have to survive the next 200 years first. Join Josh Clark of Stuff You Should Know for a 10-episode deep dive that explores the future of humanity and finds dangers we have never encountered before lurking just ahead. And if we humans are alone in the universe, if we don't survive intelligent life dies out with us too.
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Unseeable forces control human behavior and shape our ideas, beliefs, and assumptions. Invisibilia—Latin for invisible things—fuses narrative storytelling with science that will make you see your own life differently.
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Welcome to Curiosity Weekly from Discovery, hosted by Dr. Samantha Yammine. Once a week, we’ll bring you the latest and greatest in scientific discoveries and break down the details so that you don’t need a PhD to understand it. From neuroscience to climate tech to AI and genetics, no subject is off-limits. Join Sam as she interviews expert guests and investigates the research guiding some of the most exciting scientific breakthroughs affecting our world today. Hosted on Acast. See acast.com ...
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The Science Show gives Australians unique insights into the latest scientific research and debate, from the physics of cricket to prime ministerial biorhythms.
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DNA science. Artificial intelligence. Smartphones and 3D printers. Science and technology have transformed the world we live in. But how did we get here? It wasn’t by accident. Well, sometimes it was. It was also the result of hard work, teamwork, and competition. And incredibly surprising moments. Hosted by bestselling author Steven Johnson (“How We Got To Now”), American Innovations uses immersive scenes to tell the stories of the scientists, engineers, and ordinary people behind the great ...
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Each week we bring you a new, in-depth exploration of the space where science and society collide. We’re committed to the idea that making an effort to understand the world around you though science and critical thinking can benefit everyone—and lead to better decisions. We want to find out what’s true, what’s left to discover, and why it all matters.
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The So What from BCG
HR is no longer just about managing people—it’s about shaping the future of work. Jens Baier, BCG’s HR transformation expert, discusses how AI and shifting employee expectations are forcing companies to rethink talent strategies. From re-recruiting to upskilling employees, HR must adapt to a rapidly changing landscape. Learn More: Jens Baier: https://on.bcg.com/41ca7Gv BCG on People Strategy: https://on.bcg.com/3QtAjro Decoding Global Talent: https://on.bcg.com/4gUC4IT…
[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
1973集单集
分享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…
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…
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…
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…
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…
1 [QA] Avat3r: Large Animatable Gaussian Reconstruction Model for High-fidelity 3D Head Avatars 7:51
Avat3r creates high-quality, animatable 3D head avatars from few images, reducing computational needs and improving robustness against inconsistent inputs, outperforming current methods in various scenarios. https://arxiv.org/abs//2502.20220 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…
Avat3r creates high-quality, animatable 3D head avatars from few images, reducing computational needs and improving robustness against inconsistent inputs, outperforming current methods in various scenarios. https://arxiv.org/abs//2502.20220 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…
LightThinker enhances LLM efficiency by dynamically compressing intermediate thoughts, reducing memory usage and inference time while maintaining accuracy in complex reasoning tasks. https://arxiv.org/abs//2502.15589 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…
LightThinker enhances LLM efficiency by dynamically compressing intermediate thoughts, reducing memory usage and inference time while maintaining accuracy in complex reasoning tasks. https://arxiv.org/abs//2502.15589 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…
1 [QA] LLM-Microscope: Uncovering the Hidden Role of Punctuation in Context Memory of Transformers 8:12
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…
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…
This paper presents a framework for self-rewarding reasoning in LLMs, enabling autonomous error detection and correction, enhancing performance without external feedback, demonstrated through experiments with Llama-3 and Qwen-2.5. https://arxiv.org/abs//2502.19613 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…
This paper presents a framework for self-rewarding reasoning in LLMs, enabling autonomous error detection and correction, enhancing performance without external feedback, demonstrated through experiments with Llama-3 and Qwen-2.5. https://arxiv.org/abs//2502.19613 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 a novel loss function, Gatekeeper, to optimize smaller models in cascade setups, improving task handling and deferral accuracy while maintaining performance across various architectures and tasks. https://arxiv.org/abs//2502.19335 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 a novel loss function, Gatekeeper, to optimize smaller models in cascade setups, improving task handling and deferral accuracy while maintaining performance across various architectures and tasks. https://arxiv.org/abs//2502.19335 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…
A
Arxiv Papers
1 [QA] Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation 7:21
The paper advocates for new benchmarks to evaluate Language Models' ability to create counterexamples for incorrect solutions, enhancing their role in scientific discovery and iterative hypothesis refinement. https://arxiv.org/abs//2502.19414 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…
A
Arxiv Papers
The paper advocates for new benchmarks to evaluate Language Models' ability to create counterexamples for incorrect solutions, enhancing their role in scientific discovery and iterative hypothesis refinement. https://arxiv.org/abs//2502.19414 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…
A
Arxiv Papers
1 [QA] DeepSeek vs. ChatGPT: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks 8:14
This paper compares the performance of ChatGPT and DeepSeek in solving partial differential equations, finding ChatGPT o3-mini-high to be faster and more accurate for computational tasks. https://arxiv.org/abs//2502.17764 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…
A
Arxiv Papers
1 DeepSeek vs. ChatGPT: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks 15:36
This paper compares the performance of ChatGPT and DeepSeek in solving partial differential equations, finding ChatGPT o3-mini-high to be faster and more accurate for computational tasks. https://arxiv.org/abs//2502.17764 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…
This study shows that integrating Reinforcement Learning in an offline In-Context RL framework improves performance by 40% over Algorithm Distillation across diverse datasets and environments. https://arxiv.org/abs//2502.17666 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…
This study shows that integrating Reinforcement Learning in an offline In-Context RL framework improves performance by 40% over Algorithm Distillation across diverse datasets and environments. https://arxiv.org/abs//2502.17666 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…
This paper introduces fractal generative models, abstracting generative models into atomic modules, enhancing image generation performance through recursive structures, and aiming to inspire future research in generative modeling. https://arxiv.org/abs//2502.17437 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…
This paper introduces fractal generative models, abstracting generative models into atomic modules, enhancing image generation performance through recursive structures, and aiming to inspire future research in generative modeling. https://arxiv.org/abs//2502.17437 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…
https://arxiv.org/abs//2502.15588 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
https://arxiv.org/abs//2502.15588 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
This study identifies unique output patterns in Large Language Models, achieving 97.1% classification accuracy in distinguishing models based on text, revealing insights into their semantic content and training implications. https://arxiv.org/abs//2502.12150 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…
This study identifies unique output patterns in Large Language Models, achieving 97.1% classification accuracy in distinguishing models based on text, revealing insights into their semantic content and training implications. https://arxiv.org/abs//2502.12150 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…
A
Arxiv Papers
1 [QA] SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features 7:36
https://arxiv.org/abs//2502.14786 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
A
Arxiv Papers
1 SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features 20:03
https://arxiv.org/abs//2502.14786 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 ...
…
continue reading
Come dive into one of the curiously delightful conversations overheard at National Geographic’s headquarters, as we follow explorers, photographers, and scientists to the edges of our big, weird, beautiful world. Hosted by Peter Gwin and Amy Briggs.
…
continue reading
The BMJ brings you interviews with the people who are shaping medicine and science around the world.
…
continue reading
Science Friction has a new series: Cooked. We dig into food science pickles. Why are studies showing that ice cream could be good for you? Do we really need as many electrolytes as the internet says? And why are people feeling good on the carnivore diet? Nutrition and food scientist Dr Emma Beckett takes us through what the evidence says about food categories and ingredients like meat, dairy and salt — and unpick why nutrition studies can be so conflicting and confusing. Airs Wednesday 11:30 ...
…
continue reading
We humans could have a bright future ahead of us that lasts billions of years. But we have to survive the next 200 years first. Join Josh Clark of Stuff You Should Know for a 10-episode deep dive that explores the future of humanity and finds dangers we have never encountered before lurking just ahead. And if we humans are alone in the universe, if we don't survive intelligent life dies out with us too.
…
continue reading
Unseeable forces control human behavior and shape our ideas, beliefs, and assumptions. Invisibilia—Latin for invisible things—fuses narrative storytelling with science that will make you see your own life differently.
…
continue reading
Welcome to Curiosity Weekly from Discovery, hosted by Dr. Samantha Yammine. Once a week, we’ll bring you the latest and greatest in scientific discoveries and break down the details so that you don’t need a PhD to understand it. From neuroscience to climate tech to AI and genetics, no subject is off-limits. Join Sam as she interviews expert guests and investigates the research guiding some of the most exciting scientific breakthroughs affecting our world today. Hosted on Acast. See acast.com ...
…
continue reading
The Science Show gives Australians unique insights into the latest scientific research and debate, from the physics of cricket to prime ministerial biorhythms.
…
continue reading
DNA science. Artificial intelligence. Smartphones and 3D printers. Science and technology have transformed the world we live in. But how did we get here? It wasn’t by accident. Well, sometimes it was. It was also the result of hard work, teamwork, and competition. And incredibly surprising moments. Hosted by bestselling author Steven Johnson (“How We Got To Now”), American Innovations uses immersive scenes to tell the stories of the scientists, engineers, and ordinary people behind the great ...
…
continue reading
Each week we bring you a new, in-depth exploration of the space where science and society collide. We’re committed to the idea that making an effort to understand the world around you though science and critical thinking can benefit everyone—and lead to better decisions. We want to find out what’s true, what’s left to discover, and why it all matters.
…
continue reading
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使用Player FM应用程序离线！
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