Codesota · Papers453 papers · 80 shown
Editorial · Papers

Papers, with their scores.

Every paper on this page has at least one benchmark result we've recorded against it — title, abstract, code link, paper link, and a direct cross-link to the leaderboard position that score earned. Sorted by the most recently-updated benchmark result first.

This is the Codesota replacement for the Papers With Code discovery feed. If a paper has no verified benchmark result yet it won't appear here — that's the point.

Filter by area:AllComputer Vision · 350Natural Language Processing · 28Time Series · 16Speech · 15Computer Code · 15Medical · 12Multimodal · 11Agentic AI · 6
§ 01 · Recent papers (all areas)

80 papers.

  1. #01Computer Code· 2023-10-10

    SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

    Carlos E. Jimenez, John Yang, Alexander Wettig, Shunyu Yao et al.
    arxiv ↗no code link
  2. #20Time Series· 2025-02-02

    Sundial: A Family of Highly Capable Time Series Foundation Models

    Siqi Liu, Yujing Wang, Yuyao Zhang
    arxiv ↗no code link
  3. #32· 2024-12-01

    AdvFusion: Adapter-based Knowledge Transfer for Code Summarization on Code Language Models

    Adapter-based knowledge transfer approach (AdvFusion) for code summarization that outperforms AdapterFusion and LoRA on CodeSearchNet across multiple languages.

    arxiv ↗no code link
  4. #37Multimodal· 2024-10-25

    SWE-bench Verified

    arxiv ↗no code link
  5. #53Computer Vision· 2024-07-07

    Deep Online Probability Aggregation Clustering

    Yuxuan Yan, Na Lu, Ruofan Yan
    arxiv ↗paper ↗no code link
  6. #54· 2024-07-01

    ESALE: Enhancing Code-Summary Alignment Learning for Source Code Summarization

    ESALE enhances code-summary alignment learning for source code summarization, evaluated on CodeSearchNet with BLEU, METEOR, and ROUGE-L metrics.

    arxiv ↗no code link
  7. #66Computer Code· 2024-05-29

    Codestral: Hello, World!

    no code link
  8. #67Time Series· 2024-05-23

    TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

    Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu et al.
  9. #69Time Series· 2024-05-07

    Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

    Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu et al.
  10. #78Speech· 2024-04-03

    Universal-1: AssemblyAI Speech Foundation Model

    AssemblyAI Research
    paper ↗no code link
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