cs.CL(2025-12-06)

📊 共 4 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (3) 支柱二:RL算法与架构 (RL & Architecture) (1 🔗1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (3 篇)

#题目一句话要点标签🔗
1 Uncovering Competency Gaps in Large Language Models and Their Benchmarks 利用稀疏自编码器揭示大语言模型及其基准测试中的能力差距 large language model instruction following
2 Classifying German Language Proficiency Levels Using Large Language Models 利用大型语言模型进行德语水平分类,提升CEFR评估的准确性和可扩展性。 large language model
3 Convergence of Outputs When Two Large Language Models Interact in a Multi-Agentic Setup 研究多Agent LLM交互中的输出收敛现象与重复模式 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (1 篇)

#题目一句话要点标签🔗
4 Nanbeige4-3B Technical Report: Exploring the Frontier of Small Language Models Nanbeige4-3B:探索小规模语言模型性能极限,媲美更大模型 reinforcement learning distillation chain-of-thought

⬅️ 返回 cs.CL 首页 · 🏠 返回主页