cs.AI(2025-09-14)

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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)

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1 Teaching LLMs to Plan: Logical Chain-of-Thought Instruction Tuning for Symbolic Planning 提出PDDL-Instruct框架,通过逻辑链式思维指令调优提升LLM的符号规划能力 large language model chain-of-thought
2 LibEMER: A novel benchmark and algorithms library for EEG-based Multimodal Emotion Recognition LibEMER:用于脑电多模态情感识别的基准测试与算法库 multimodal
3 Tractable Asymmetric Verification for Large Language Models via Deterministic Replicability 提出基于确定性可复制性的LLM非对称验证框架,降低验证成本。 large language model
4 LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences LLMAP:基于LLM辅助的多目标个性化路线规划系统 large language model
5 Difficulty-Aware Agentic Orchestration for Query-Specific Multi-Agent Workflows 提出难度感知Agent编排框架,为查询定制高效多Agent工作流 large language model
6 Beyond IVR Touch-Tones: Customer Intent Routing using LLMs 提出基于LLM的IVR客户意图路由方法,解决数据稀缺问题并提升用户体验。 large language model
7 Free-MAD: Consensus-Free Multi-Agent Debate 提出Free-MAD,一种无需共识的多智能体辩论框架,提升LLM推理能力。 large language model

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