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BenchLocal – AI-powered local business search
本地运行、对比和管理大模型评测包的桌面工具，开源免费。
Article URL: https://github.com/stevibe/BenchLocal Comments URL: https://news.ycombinator.com/item?id=48804450 Points: 1 # Comments: 1
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Show HN: WifeBench – My wife vibes LLM rankings
用妻子主观感受测评LLM，幽默又真实，排名结果意想不到。
She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with…
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LingxiDiagBench: A Multi-Agent Framework for Benchmarking LLMs in Chinese Psychiatric Consultation and Diagnosis
首个专注中文精神科咨询诊断的LLM多智能体评测框架，填补领域空白。
arXiv:2602.09379v3 Announce Type: replace-cross Abstract: Mental disorders are highly prevalent worldwide, but the shortage of psychiatrists and the i…
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Adrianco's Retort: measure how reliable, fast and expensive your LLM is
手把手教你从可靠性、速度和成本三个维度评测各版本Claude Code Sonnet到Opus 4.8 Fast。
Article URL: https://adrianco.medium.com/how-reliable-fast-and-expensive-is-each-version-of-claude-code-sonnet-through-opus-4-8-fast-272d74ffc869 Comm…
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AICompanionBench: Benchmarking LLMs-as-Judges for AI Companion Safety
AI伴侣安全性如何评估？这个新基准让大模型自己当裁判，专治LLM越狱与不当行为。
arXiv:2606.04867v1 Announce Type: new Abstract: As AI companion platforms such as Replika and Character.AI rapidly grow, concerns about unsafe human-A…
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PersLitEval: Fine-grained Benchmark and Evaluation of LLMs on Persian Literature Questions
专为波斯文学知识量身打造，涵盖8大细分类别，评测LLM在非英语文学领域的真实短板。
arXiv:2605.27015v1 Announce Type: new Abstract: Despite impressive multilingual capabilities, large language models (LLMs) remain poorly evaluated on …
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AI-Assisted Systematization for Evaluating GenAI Systems
这篇论文提出了一个AI辅助的系统化框架，用于更可靠地评估生成式AI系统的表现。
arXiv:2605.26001v1 Announce Type: cross Abstract: Evaluating generative AI (GenAI) systems is challenging because many targets of evaluation are broad…
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Scales++: Compute Efficient Evaluation Subset Selection with Cognitive Scales Embeddings
用认知嵌入高效筛选评估子集，大幅降低大模型评测成本，保持预测准确性。
arXiv:2510.26384v2 Announce Type: replace-cross Abstract: The prohibitive cost of evaluating large language models (LLMs) on comprehensive benchmarks …