1
StoryScope: Investigating Idiosyncracies in AI Fiction
不止检测AI味，深挖AI小说叙事怪癖，开启作者权新视角。
Article URL: https://arxiv.org/abs/2604.03136 Comments URL: https://news.ycombinator.com/item?id=48818532 Points: 2 # Comments: 0
2
AI Coding Agents Need Runtime Telemetry Before Commit Telemetry
研究发现AI编码代理的提交遥测严重低估了真实使用量，运行时遥测揭示30倍的数据缺口。
A new arXiv paper published on June 23, 2026 scanned more than 180 million Git repositories to detect traces of AI coding agents in open source. The a…
3
How to Detect and Measure the AI Dangers to Democracy
提出系统方法检测和衡量AI对民主制度的潜在危害，为政策制定者提供评估框架。
arXiv:2606.16054v1 Announce Type: cross Abstract: Research on artificial intelligence and democracy has grown quickly over the last decade. A shared c…
4
Detecting Functional Memorization in Code Language Models
新研究提出检测代码大模型“功能性记忆”的方法，直击模型抄袭与数据泄露隐患。
arXiv:2606.12764v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used to generate code at scale. Meanwhile, prior work …
5
Cheap Reward Hacking Detection
低成本检测奖励黑客，为AI系统安全对齐提供可靠新方案。
arXiv:2606.08893v1 Announce Type: new Abstract: A small transformer encoder is trained to map Terminal-Wrench trajectories onto a unit sphere where em…
6
Empirical Analysis and Detection of Hallucinations in LLM-Generated Bug Report Summaries
系统研究LLM生成Bug报告摘要时的幻觉问题，实证分析并提出检测方法，对软件工程与AI可靠性有参考价值。
arXiv:2605.24137v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly used to generate summaries of software bug reports, in…
7
LLM Code Smells: A Taxonomy and Detection Approach
大模型生成的代码也有坏味道？本文提出首个专门针对LLM生成代码的坏味道分类体系与自动检测方法。
arXiv:2605.22976v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly integrated into software systems for diverse purposes,…