用图论框架量化大模型逻辑推理的可信度，为评估LLM可靠性提供新方法。
arXiv:2607.08017v1 Announce Type: new Abstract: Large-Language Models (LLMs) can be prone to flawed and unfaithful reasoning that decoding strategies …
Go 开发者探讨 ORM 新期望：如何平衡 SQL 控制权与查询简化？
I have been working on a Go ORM and I am trying to understand what experienced Go developers actually want from an ORM. The main problems I see: - los…
探讨LLM在高效学习中的可信度矛盾，引发现实思考。
Reading some threads here on HN recently, people suggest LLMs give out untrustworthy data. That makes me think they are not a good source to understan…
编程代理的“虚假成功”比失败更危险——即使通过测试，也可能完全偏离意图，威胁生产环境信任度。
arXiv:2603.25764v3 Announce Type: replace-cross Abstract: As coding agents move into production workflows, teams need to know not only whether an agen…
HN上的生产力提升去哪了？一位用户观察到AI普及后社区内容质量和可信度并未提高，引发对技术变革实际影响的反思。
At best, average credibility across HN from what I can see has remained roughly the same, though it realistically went down a bit compared to 3 years …
解决LLM生成报告的数字错误和幻觉问题，让你的AI内容在老板和SEC面前更可信。
As a graudate student who just working as management & IR, I use LLM to do daily jobs , including weekly briefing and But AI generated report looks to…
只需一个token就能轻松骗过LLM评判者，揭示AI评估体系的安全软肋。
arXiv:2507.08794v3 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly trusted as automated judges, assisting evaluat…
知名咨询公司KPMG报告鼓吹AI好处，却因自身出现AI幻觉而被打脸，讽刺值拉满。
Article URL: https://www.ft.com/content/b3828e92-4961-4b39-84f0-c42f33be3c3f Comments URL: https://news.ycombinator.com/item?id=48501330 Points: 1 # C…
全面综述LLM生成数据的质量与可信度评估方法，涵盖框架、指标与挑战，是相关研究者的必读参考。
arXiv:2601.17717v3 Announce Type: replace Abstract: Large Language Models (LLMs) have emerged as powerful tools for generating data across various mod…
分析了2500万条评论，揭示读者如何识别和指责AI生成内容，以及反AI态度的演变
arXiv:2606.12073v1 Announce Type: cross Abstract: Generative AI has made fluent prose cheap to produce, breaking the old promise to readers that good …
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Article URL: https://www.inc.com/netta-jenkins/linkedin-is-being-flooded-with-ai-content-and-a-new-problem-is-emerging/91354856 Comments URL: https://…
苹果WWDC26发布iOS 27及Siri AI，分析师称这是苹果AI战略的可信度测试，库克时代或将落幕。
IT之家 6 月 9 日消息，彭博社记者马克 · 古尔曼 9 日（今天）撰文称，苹果在全球开发者大会上为新一代产品铺路，试图向外界证明，在经历多年 AI 功能延期和落地不顺之后，自己仍有能力在 AI 时代参与竞争。 苹果最新一代操作系统的核心，是经过全面改造的 Siri AI ，覆盖 iOS 27、…
在围观者对AI平台Capafy.ai的合法性产生疑问，社区等待真实用户反馈是否真能赚钱
Is this a legitimate platform? Has anyone genuinely made any money on it? If so, what is the difference between this platform, skill registries and ot…
用因果分析揭示大模型对中间推理结构的忠实度，为提升AI可信度提供新视角。
arXiv:2603.16475v2 Announce Type: replace Abstract: In schema-guided reasoning (SGR) pipelines, LLMs produce explicit intermediate structures -- rubri…
大模型做因果发现时何时可信？这篇论文提出CauTion框架，动态评估LLM的集成信任度，提升因果推断鲁棒性。
arXiv:2606.03602v1 Announce Type: cross Abstract: Causal discovery from observational data remains challenging due to the fundamental limitations of p…
ACL 2026前沿研究：探究大语言模型中事实性观点能否被编辑（操纵），揭示模型可信度的新挑战。
arXiv:2606.03096v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly integrated into various domains, making knowledge editin…
最新研究揭示LLM智能体「说一套做一套」的忠实性差距根源，对构建可信AI系统有重要启示。
arXiv:2606.00476v1 Announce Type: new Abstract: Do LLM agents act on the reasoning they state? This question of process fidelity is central to using L…
提出「证据驱动」评估新范式，让LLM法官告别模糊打分，生成可追溯的评分依据。
arXiv:2601.08654v2 Announce Type: replace-cross Abstract: Rubric-based text evaluation increasingly uses large language models (LLMs) as scalable judg…
用编造的假疾病测试AI，结果AI信以为真，暴露医疗AI的致命风险。
Article URL: https://www.scientificamerican.com/podcast/episode/bixonimania-the-fake-illness-that-ai-fell-for/ Comments URL: https://news.ycombinator.…
研究揭示LLM在训练数据中植入错误信念后，即使明确警告也无法纠正，警示AI安全与事实性漏洞。
Fine-tuning tests show "bias ... toward confidently representing the claims as true."