cs.AI（2025-10-26）
📊 共 5 篇论文 | 🔗 1 篇有代码
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🔬 支柱九：具身大模型 (Embodied Foundation Models) (5 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models | OFFSIDE：针对多模态大语言模型中错误信息卸载的基准测试 | large language model multimodal | ✅ | |
| 2 | Multi-Modal Fact-Verification Framework for Reducing Hallucinations in Large Language Models | 提出多模态事实核查框架，显著降低大语言模型中的幻觉问题 | large language model | ||
| 3 | Chitchat with AI: Understand the supply chain carbon disclosure of companies worldwide through Large Language Model | 提出基于LLM的企业碳排放披露质量评估框架，实现跨行业、跨国别对标。 | large language model | ||
| 4 | Critical Insights into Leading Conversational AI Models | 对比分析主流会话AI模型：性能、伦理与可用性 | multimodal | ||
| 5 | Do Stop Me Now: Detecting Boilerplate Responses with a Single Iteration | 提出单步检测方法，通过首个token概率分布高效识别LLM中的样板回复 | large language model |