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alphaXiv

alphaXiv

研究服务

Open research discussion directly on top of arXiv.

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Open research discussion directly on top of arXiv.

网站
https://alphaxiv.org/
所属行业
研究服务
规模
2-10 人
类型
个体经营

alphaXiv员工

动态

  • 查看alphaXiv的组织主页

    1,023 位关注者

    Microsoft has claimed a breakthrough in quantum computing … but not everyone is convinced. A deeper look reveals that two expert referees strongly advised against publication, raising concerns about the evidence. The editors note: “The results do not represent evidence of Majorana zero modes.”

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  • alphaXiv转发了

    查看Camilo Chacón Sartori的档案

    PhD Student at AI & Software Developer & Writer

    Nuestro preprint?"Improving Existing Optimization Algorithms with LLMs" publicado el pasado 12 de febrero?ya supera las?5800 vistas?y?100 likes?en?alphaXiv, posicionándose en el?top global?de la plataforma ?? En este trabajo presentamos una nueva metodología para usar los LLMs en el área de dise?o de algoritmos de optimización. Este enfoque no solo complementa las técnicas desarrolladas el a?o pasado, sino que también abre nuevas vías para la?mejora de algoritmos existentes. Lo pueden leer aquí: https://lnkd.in/eccbvsSk

  • 查看alphaXiv的组织主页

    1,023 位关注者

    1997: Deep Blue defeats Kasparov at chess 2016: AlphaGo masters the game of Go 2025: Stanford researchers crack Among Us Trending on alphaXiv ?? Remarkable new work trains LLMs to master strategic social deduction through multi-agent RL, doubling win rates over standard RL. Learn more and join the discussion with the authors here: https://lnkd.in/gYDveqv7

  • alphaXiv转发了

    查看Jayita Bhattacharyya的档案

    Applied AI || Tech Speaker || Hackathon Wizard || MLE

    Yesterday I had a great time catching up with Raj Palleti (creator of alphaXiv). Here are a few points that we discussed: * Challenges faced while reading the research paper * How it becomes difficult to get your head around the math and code essentially the ones missing from them * What exact interest areas do we generally look at and how do we go about it as next steps? * How can peer-to-peer conversions be helpful in such scenarios along with blog posts and video explanations * We exchanged ideas about how can such a platform enhance paper reading experiences through communities. * What plans are in store for the next releases and direct conversions/group discussions with paper authors can be mindblowing! In my view platforms like Papers with Code, arXiv & Hugging Face papers have come way forward into integrating such capabilities yet a dedicated one can prove to be a game changer! I appreciate the way he & his team are approaching the problem and making it easier for practitioners to delve more easily into the ecosystem. Being in love with open-source and community building, I would like to encourage everyone to come forward to support/contribute to this greater cause. #researchpapers #platforms

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  • alphaXiv转发了

    查看Jayita Bhattacharyya的档案

    Applied AI || Tech Speaker || Hackathon Wizard || MLE

    alphaXiv is a platform designed for open research discussions directly on arXiv papers, enabling users to engage with academic content in a collaborative manner. * Line-by-Line Comments: Users can comment on specific lines of arXiv papers, facilitating detailed discussions about particular sections of the research. * Direct Author Interaction: The platform allows users to receive responses from the authors of the papers or from established research teams, enhancing the dialogue around the research. * Easy Access: Users can access discussion forums by simply changing "arxiv" to "alphaxiv" in the URL of any arXiv paper, making it user-friendly. * Community Guidelines: Established guidelines to promote respectful and constructive discussions, aiming to prevent harassment and ensure a positive environment. * Chrome Extension: There is a Chrome extension available that notifies users of comments on arXiv papers they are reading, ensuring they do not miss any discussions. * Institutional Verification: Users are encouraged to sign up with institutional emails for verification, which helps enhance credibility within discussions. This feature also allows users to connect their accounts with ORCID for additional recognition Thanks to Jay Alammar for bringing up this excellent work from NeurIPS by Raj Palleti - https://lnkd.in/geVHbKSa #researchpapers #peertopeer #discussions #arxiv

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  • alphaXiv转发了

    查看József Konczer的档案

    Physicist, Senior AI/ML Research Engineer

    I recently read and commented on a featured paper on alphaXiv: "Agents Are Not Enough" https://lnkd.in/d9vAgFzE by Chirag Shah from the University of Washington and Ryen White from Microsoft Research I think the topic is very actual and important. The arXiv paper is relatively short and high-level, but it prompted many relevant in-depth comments and conversations exploring details and difficult questions (thank you to the authors for their responses!). To check out the paper and the conversations it induced, visit the link above. Feel free to read, upvote, ask or answer questions and join the conversation. (Cover image borrowed from this related Substack blogpost by Cobus Greyling: https://lnkd.in/d-6-zqiA )

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