AI 大模型

代码大模型 / AI 编程

代码生成、软件工程智能体、程序修复、测试生成和开发者工具。

2026-01-08 至 2026-01-08 共收录 3 篇信号源：cs.SE, cs.CL, cs.AI, cs.LG, cs.PL

1. 仓库级理解 3 篇

2507.05281 2026-01-08 cs.SE cs.CL 81%

CoreCodeBench: Decoupling Code Intelligence via Fine-Grained Repository-Level Tasks

CoreCodeBench：通过细粒度仓库级任务解耦代码智能

Lingyue Fu, Hao Guan, Bolun Zhang, Haowei Yuan, Yaoming Zhu, Jun Xu, Zongyu Wang, Lin Qiu, Xunliang Cai, Xuezhi Cao, Weiwen Liu, Weinan Zhang, Yong Yu

机构 * Shanghai Jiao Tong University（上海交通大学）； Meituan（美团）

专题命中仓库级理解：repository(title,abstract)；分类 cs.SE、cs.CL

AI总结 CoreCodeBench通过细粒度仓库级任务解耦编码能力，揭示LLM在编程任务中的非单一性，提供更精确的评估框架。

2509.05405 2026-01-08 astro-ph.HE astro-ph.IM 78%

The Open mulTiwavelength Transient Event Repository (OTTER): Infrastructure Release and Tidal Disruption Event Catalog

开放多波段暂现事件库（OTTER）：基础设施发布与潮汐破坏事件目录

Noah Franz, Kate D Alexander, Sebastian Gomez, Collin T Christy, Tanmoy Laskar, Sjoert van Velzen, Nicholas Earl, Suvi Gezari, Mitchell Karmen, Raffaella Margutti, Jeniveve Pearson, V. Ashley Villar, Ann I Zabludoff

专题命中仓库级理解：repository(title,abstract)

AI总结 OTTER是一个开放的多波段暂现事件数据库，旨在通过存储和分析多波段光度学数据，提高对暂现事件物理机制的理解，特别关注潮汐破坏事件的光度学档案。

Comments Accepted to ApJ. The OTTER web interface is available at https://otter.idies.jhu.edu and the API documentation (including example python notebooks demonstrating usage) is available at https://astro-otter.readthedocs.io. Please submit any feedback as issues on GitHub at https://github.com/astro-otter/otter/issues/new/choose

2510.16242 2026-01-08 cs.SE cs.DL 57%

Code Contribution and Credit in Science

科学中的代码贡献与信用

Eva Maxfield Brown, Isaac Slaughter, Nicholas Weber

专题命中仓库级理解：repository(abstract)；分类 cs.SE

AI总结研究探讨了科学领域中代码贡献与传统作者身份信用之间的关系，发现代码贡献者常未获认可，且高频编码与学术影响力指标呈负相关。

Comments Revisions after peer-review. This is the "Accepted" version of the paper!