cs.CL(2025-05-21)

📊 共 10 篇论文 | 🔗 2 篇有代码

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支柱九:具身大模型 (Embodied Foundation Models) (8 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (2 🔗1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (8 篇)

#题目一句话要点标签🔗
1 Traveling Across Languages: Benchmarking Cross-Lingual Consistency in Multimodal LLMs 提出KnowRecall和VisRecall基准以解决多语言一致性问题 large language model multimodal
2 Are LLMs reliable? An exploration of the reliability of large language models in clinical note generation 评估大型语言模型在临床笔记生成中的可靠性 large language model
3 Can Large Language Models Understand Internet Buzzwords Through User-Generated Content 提出CHEER数据集与RESS方法以提升大语言模型对网络流行词的理解能力 large language model
4 Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory 提出PSN-IRT框架以提升大语言模型基准评估的有效性 large language model
5 Effective and Efficient Schema-aware Information Extraction Using On-Device Large Language Models 提出DLISC以解决资源受限设备上的信息提取问题 large language model
6 Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective 提出扩散语言模型以解决自回归模型在文本嵌入中的局限性 large language model instruction following
7 Towards Spoken Mathematical Reasoning: Benchmarking Speech-based Models over Multi-faceted Math Problems 提出Spoken-MQA基准以评估语音模型的数学推理能力 large language model multimodal
8 MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision 提出MAS-ZERO以解决多智能体系统设计中的监督依赖问题 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
9 DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data 提出DISCO以解决不平衡数据下的强化学习问题 reinforcement learning policy learning consistency policy
10 Self-GIVE: Associative Thinking from Limited Structured Knowledge for Enhanced Large Language Model Reasoning 提出Self-GIVE以解决大语言模型推理中的关联思维问题 reinforcement learning large language model

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