cs.AI(2025-12-25)

📊 共 9 篇论文

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (7) 支柱二:RL算法与架构 (RL & Architecture) (2)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (7 篇)

#题目一句话要点标签🔗
1 Enabling Ultra-Fast Cardiovascular Imaging Across Heterogeneous Clinical Environments with a Generalist Foundation Model and Multimodal Database CardioMM:通用心血管磁共振重建基础模型,加速异构临床环境下的超快速成像 foundation model multimodal
2 A Medical Multimodal Diagnostic Framework Integrating Vision-Language Models and Logic Tree Reasoning 提出基于LLaVA和逻辑树推理的医学多模态诊断框架,提升诊断准确性和可解释性。 large language model multimodal
3 LLM-I2I: Boost Your Small Item2Item Recommendation Model with Large Language Model LLM-I2I:利用大语言模型提升小规模Item2Item推荐模型性能 large language model
4 Can We Trust AI Explanations? Evidence of Systematic Underreporting in Chain-of-Thought Reasoning AI解释可信吗?思维链推理中存在系统性信息隐瞒现象 chain-of-thought
5 Towards Responsible and Explainable AI Agents with Consensus-Driven Reasoning 提出基于共识驱动推理的负责任且可解释的AI Agent架构 large language model
6 Analysis of LLM Vulnerability to GPU Soft Errors: An Instruction-Level Fault Injection Study 首个LLM指令级GPU软错误注入分析,揭示模型架构、规模和任务复杂度的影响 large language model
7 LogicLens: Visual-Logical Co-Reasoning for Text-Centric Forgery Analysis 提出LogicLens,用于文本中心伪造分析的视觉-逻辑协同推理。 chain-of-thought

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

#题目一句话要点标签🔗
8 Leash: Adaptive Length Penalty and Reward Shaping for Efficient Large Reasoning Model Leash:自适应长度惩罚与奖励塑造,提升大语言模型推理效率 reinforcement learning reward shaping instruction following
9 Selective LLM-Guided Regularization for Enhancing Recommendation Models 提出选择性LLM引导正则化以增强推荐模型 distillation large language model

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