| 1 |
Tiny but Mighty: A Software-Hardware Co-Design Approach for Efficient Multimodal Inference on Battery-Powered Small Devices |
NANOMIND:软硬件协同设计,提升电池供电小型设备上多模态推理效率 |
large language model multimodal |
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| 2 |
A Formal Comparison Between Chain-of-Thought and Latent Thought |
形式化分析揭示思维链与潜在思维在计算效率与问题解决能力上的差异 |
large language model chain-of-thought |
✅ |
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| 3 |
Communication Bias in Large Language Models: A Regulatory Perspective |
大型语言模型中的通信偏差风险分析与监管框架探讨 |
large language model |
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| 4 |
VC-Agent: An Interactive Agent for Customized Video Dataset Collection |
VC-Agent:用于定制视频数据集收集的交互式智能体 |
large language model |
✅ |
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| 5 |
TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them |
TrustJudge:提出概率框架,解决LLM评估中不一致性问题 |
large language model |
✅ |
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| 6 |
Disagreements in Reasoning: How a Model's Thinking Process Dictates Persuasion in Multi-Agent Systems |
揭示推理过程对多智能体系统中说服力的影响,提出“说服二元性”概念 |
large language model |
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