cs.CL(2025-04-06)

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支柱九:具身大模型 (Embodied Foundation Models) (7)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (7 篇)

#题目一句话要点标签🔗
1 An Empirical Comparison of Text Summarization: A Multi-Dimensional Evaluation of Large Language Models 提出多维评估框架以比较大型语言模型的文本摘要性能 large language model
2 Saliency-driven Dynamic Token Pruning for Large Language Models 提出基于显著性的动态Token剪枝方法SDTP,加速LLM长序列推理。 large language model
3 Generative Large Language Models Trained for Detecting Errors in Radiology Reports 利用生成式大语言模型提升放射科报告的错误检测能力 large language model
4 Compression Laws for Large Language Models 研究LLM压缩对下游任务的影响,提出适用于资源受限场景的压缩法则。 large language model
5 StyleRec: A Benchmark Dataset for Prompt Recovery in Writing Style Transformation StyleRec:提出写作风格转换提示恢复基准数据集,促进通用提示恢复研究 large language model chain-of-thought
6 Hallucinated Span Detection with Multi-View Attention Features 提出基于多视角注意力特征的幻觉跨度检测方法,提升长文本场景下的检测性能 large language model
7 Balancing Complexity and Informativeness in LLM-Based Clustering: Finding the Goldilocks Zone 提出基于LLM的聚类方法,在信息量和可解释性之间寻找短文本聚类的“金发区” large language model

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