cs.CL(2026-07-07)

📊 共 9 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) (1 🔗1)

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

#题目一句话要点标签🔗
1 Data Analysis in the Wild: Benchmarking Large Language Models Against Real-World Data Complexities 提出DataGovBench以解决LLM在真实数据分析中的不足问题 large language model
2 Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability 提出Pluralis v0.1以解决AI安全评估中的文化偏见问题 multimodal
3 MemDefrag: Latent Memory Defragmentation for Large Language Models 提出MemDefrag以解决大语言模型的潜在记忆碎片化问题 large language model
4 SpanUQ: Span-Level Uncertainty Quantification for Large Language Model Generation 提出SpanUQ以解决大语言模型生成中的不确定性量化问题 large language model
5 From Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14b 提出针对生物医学问答的LLM框架以提升答案稳健性 large language model chain-of-thought
6 PluraMath: Extending Mathematical Reasoning Evaluation Beyond High-Resource Languages 提出PluraMath以解决数学推理评估的语言偏见问题 large language model instruction following
7 LongCrafter: Towards Diverse Long-Context Understanding via Evidence-Graph-Guided Instruction Synthesis 提出LongCrafter以解决长上下文理解的多样性问题 large language model
8 LLM Agents for Deliberative Collaboration: A Study on Joint Decision Making Under Partial Observability 提出LLM代理以解决部分可观测联合决策问题 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🔗
9 Improving LLM-Generated Process Model Quality Through Reinforcement Learning: The Role of Reward Function Design 通过强化学习优化LLM生成的流程模型质量 reinforcement learning large language model

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