这篇论文揭示了用开放基准评估大语言模型时容易踩的坑，值得AI研究者和从业者警惕。
arXiv:2507.00460v3 Announce Type: replace Abstract: Open Large Language Model (LLM) benchmarks, such as HELM and BIG-Bench, provide standardized and t…
研究发现大模型推荐系统存在严重的基准泄漏问题，提醒你审慎看待其实际表现。
arXiv:2602.13626v3 Announce Type: replace Abstract: The expanding integration of Large Language Models (LLMs) into recommender systems poses critical …
AI基准测试暗藏理论假设，窄化进步定义，警惕评估陷阱重塑能力概念
arXiv:2605.14167v1 Announce Type: new Abstract: Every AI benchmark operationalizes theoretical assumptions about the capability it claims to assess. W…