cs.AI(2026-02-25)

📊 共 11 篇论文

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支柱九:具身大模型 (Embodied Foundation Models) (10) 支柱二:RL算法与架构 (RL & Architecture) (1)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (10 篇)

#题目一句话要点标签🔗
1 When AI Writes, Whose Voice Remains? Quantifying Cultural Marker Erasure Across World English Varieties in Large Language Models 量化大型语言模型中世界英语变体的文化标记擦除现象 large language model
2 One Brain, Omni Modalities: Towards Unified Non-Invasive Brain Decoding with Large Language Models NOBEL:利用大语言模型实现统一的非侵入式脑解码 large language model
3 ProactiveMobile: A Comprehensive Benchmark for Boosting Proactive Intelligence on Mobile Devices ProactiveMobile:用于提升移动设备主动智能的综合基准测试 large language model multimodal
4 Enhancing LLM-Based Test Generation by Eliminating Covered Code 提出一种基于消除已覆盖代码的LLM测试生成方法,提升复杂方法覆盖率 large language model
5 Revisiting RAG Retrievers: An Information Theoretic Benchmark 提出MIGRASCOPE,基于互信息的RAG检索器分析框架,用于评估和优化检索增强生成系统。 large language model
6 Language Models Exhibit Inconsistent Biases Towards Algorithmic Agents and Human Experts 大型语言模型在算法代理与人类专家之间表现出不一致的偏见 large language model
7 Prompt Architecture Determines Reasoning Quality: A Variable Isolation Study on the Car Wash Problem Prompt架构显著影响推理质量:基于洗车问题的变量隔离研究 large language model
8 An Evaluation of Context Length Extrapolation in Long Code via Positional Embeddings and Efficient Attention 针对长代码补全,研究基于位置编码和高效注意力机制的上下文长度外推方法 large language model
9 Structurally Aligned Subtask-Level Memory for Software Engineering Agents 提出结构化对齐的子任务级记忆,提升软件工程Agent的长期推理能力 large language model
10 Beyond Refusal: Probing the Limits of Agentic Self-Correction for Semantic Sensitive Information 提出SemSIEdit框架,通过Agentic自校正降低LLM语义敏感信息泄露风险。 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🔗
11 ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning ARLArena:用于稳定Agentic强化学习的统一框架 reinforcement learning

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