| 1 |
Conformal Information Pursuit for Interactively Guiding Large Language Models |
提出C-IP方法以优化大语言模型的交互式问答性能 |
large language model chain-of-thought |
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| 2 |
MGAA: Multi-Granular Adaptive Allocation fof Low-Rank Compression of LLMs |
提出MGAA:一种多粒度自适应分配方法,用于LLM的低秩压缩。 |
large language model multimodal |
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| 3 |
Importance-Aware Activation Space Reconstruction |
提出IMPACT:一种重要性感知的激活空间重构方法,用于压缩大语言模型。 |
large language model |
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| 4 |
Skewed Score: A statistical framework to assess autograders |
提出Skewed Score框架,用于统计评估LLM自动评分器并检测潜在偏差。 |
large language model |
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| 5 |
Predicting Business Angel Early-Stage Decision Making Using AI |
利用AI预测商业天使的早期投资决策,提升效率与准确性 |
large language model |
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| 6 |
Graph Neural Networks for Electricity Load Forecasting |
提出结合图神经网络、注意力机制和集成策略的电力负荷预测框架 |
foundation model |
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| 7 |
Re-Emergent Misalignment: How Narrow Fine-Tuning Erodes Safety Alignment in LLMs |
研究表明,窄域微调通过侵蚀先验对齐导致LLM安全性下降 |
large language model |
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| 8 |
Generating Synthetic Relational Tabular Data via Structural Causal Models |
提出基于结构因果模型的框架,用于生成合成关系型表格数据。 |
foundation model |
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| 9 |
LRM-1B: Towards Large Routing Model |
提出大规模路由模型LRM-1B,解决车辆路径问题并达到SOTA |
large language model |
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| 10 |
Securing Transformer-based AI Execution via Unified TEEs and Crypto-protected Accelerators |
TwinShield:通过统一TEE和加密加速器保护Transformer模型安全执行 |
large language model |
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