| 1 |
CG-MER: A Card Game-based Multimodal dataset for Emotion Recognition |
CG-MER:一个基于卡牌游戏的多模态情感识别法语数据集 |
multimodal |
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| 2 |
SEAL: Speaker Error Correction using Acoustic-conditioned Large Language Models |
SEAL:利用声学条件大语言模型进行说话人错误纠正 |
large language model |
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| 3 |
Evaluating Computational Accuracy of Large Language Models in Numerical Reasoning Tasks for Healthcare Applications |
评估大型语言模型在医疗数值推理任务中的计算准确性 |
large language model |
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| 4 |
I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution |
利用大型语言模型进行代码作者身份溯源,实现快速精准定位 |
large language model |
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| 5 |
Hierarchical Autoscaling for Large Language Model Serving with Chiron |
Chiron:面向LLM服务的层级自适应伸缩方案,优化SLO达成率和GPU效率。 |
large language model |
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| 6 |
Large Language Model Interface for Home Energy Management Systems |
提出基于大语言模型的界面以优化家庭能源管理系统 |
large language model |
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| 7 |
The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation |
揭示大型语言模型代码生成中的服务提供商偏见问题 |
large language model |
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| 8 |
A Driver Advisory System Based on Large Language Model for High-speed Train |
提出基于大语言模型的智能驾驶咨询系统,提升高铁故障处理能力 |
large language model |
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| 9 |
Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language Models |
提出基于Agent视角的Prompting技术框架,为LLM合成训练数据提供新思路 |
large language model |
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| 10 |
ADAM: An AI Reasoning and Bioinformatics Model for Alzheimer's Disease Detection and Microbiome-Clinical Data Integration |
ADAM:一种用于阿尔茨海默病检测和多模态数据融合的AI推理模型 |
large language model multimodal |
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| 11 |
LLM-Ehnanced Holonic Architecture for Ad-Hoc Scalable SoS |
提出LLM增强的Holonic架构,用于自适应可扩展的SoS系统,解决互操作性与重配置难题。 |
large language model multimodal |
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| 12 |
Visual Language Models as Operator Agents in the Space Domain |
提出基于视觉语言模型(VLM)的航天领域操作代理,用于软件仿真和硬件控制。 |
large language model multimodal |
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| 13 |
Towards Best Practices for Open Datasets for LLM Training |
针对LLM训练,提出开放数据集的最佳实践方案,旨在提高透明度、责任性和创新性。 |
large language model |
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| 14 |
Flow: Modularized Agentic Workflow Automation |
Flow:模块化Agent工作流自动化框架,通过动态调整和模块化设计提升效率。 |
large language model |
✅ |
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| 15 |
PRESERVE: Prefetching Model Weights and KV-Cache in Distributed LLM Serving |
PRESERVE:通过预取模型权重和KV-Cache优化分布式LLM服务 |
large language model |
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| 16 |
A Roadmap to Guide the Integration of LLMs in Hierarchical Planning |
提出LLM融入层级规划的路线图,并构建基准数据集与初步实验。 |
large language model |
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| 17 |
Self-Instruct Few-Shot Jailbreaking: Decompose the Attack into Pattern and Behavior Learning |
提出Self-Instruct-FSJ框架,通过分解攻击模式和行为学习,提升少样本越狱LLM的效率。 |
large language model |
✅ |
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| 18 |
Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs |
提出M^2WF框架,利用元记忆机制增强LLM在无数据环境下的代码生成能力 |
large language model |
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