Arxiv Papers

Igor Melnyk
  • 5.0（3則評分）
  • 科學
  • 每日更新
Arxiv Papers

Running out of time to catch up with new arXiv papers? We take the most impactful papers and present them as convenient podcasts. If you're a visual learner, we offer these papers in an engaging video format. Our service fills the gap between overly brief paper summaries and time-consuming full paper reads. You gain academic insights in a time-efficient, digestible format. Code behind this work: https://github.com/imelnyk/ArxivPapers

  1. 13 分鐘前

    [QA] ULTRAIF: Advancing Instruction Following from the Wild

    The paper presents ULTRAIF, a method for enhancing LLMs' ability to follow complex instructions using open-source data, achieving competitive performance on instruction-following benchmarks. https://arxiv.org/abs//2502.04153 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

    8 分鐘

  2. 14 分鐘前

    ULTRAIF: Advancing Instruction Following from the Wild

    The paper presents ULTRAIF, a method for enhancing LLMs' ability to follow complex instructions using open-source data, achieving competitive performance on instruction-following benchmarks. https://arxiv.org/abs//2502.04153 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

    19 分鐘

  3. 17 分鐘前

    [QA] Analyze Feature Flow to Enhance Interpretation and Steering in Language Models

    This paper presents a method to map feature evolution in large language models, enhancing interpretability and enabling targeted control of model behavior through cross-layer feature analysis. https://arxiv.org/abs//2502.03032 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

    8 分鐘

  4. 18 分鐘前

    Analyze Feature Flow to Enhance Interpretation and Steering in Language Models

    This paper presents a method to map feature evolution in large language models, enhancing interpretability and enabling targeted control of model behavior through cross-layer feature analysis. https://arxiv.org/abs//2502.03032 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

    19 分鐘

  5. 1 天前

    [QA] Examining Two Hop Reasoning Through Information Content Scaling

    This study investigates transformers' inconsistent performance on two-hop questions, revealing that capacity scaling and generalization affect their ability to learn and answer these complex queries effectively. https://arxiv.org/abs//2502.03490 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

    8 分鐘

  6. 1 天前

    Examining Two Hop Reasoning Through Information Content Scaling

    This study investigates transformers' inconsistent performance on two-hop questions, revealing that capacity scaling and generalization affect their ability to learn and answer these complex queries effectively. https://arxiv.org/abs//2502.03490 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

    16 分鐘

  7. 1 天前

    [QA] Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2

    https://arxiv.org/abs//2502.03544 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

    8 分鐘

  8. 1 天前

    Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2

    https://arxiv.org/abs//2502.03544 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

    24 分鐘
顯示全部 (1,897)

評分與評論

5
（滿分 5 顆星）
3 則評分

簡介

Running out of time to catch up with new arXiv papers? We take the most impactful papers and present them as convenient podcasts. If you're a visual learner, we offer these papers in an engaging video format. Our service fills the gap between overly brief paper summaries and time-consuming full paper reads. You gain academic insights in a time-efficient, digestible format. Code behind this work: https://github.com/imelnyk/ArxivPapers

資訊

  • 創作者
    Igor Melnyk
  • 活躍年代
    2023年 - 2025年
  • 集數
    1897
  • 年齡分級
    兒少適宜
  • 版權
    © Igor Melnyk
  • 節目網站
    Arxiv Papers

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