| 1 |
Vision Enhancing LLMs: Empowering Multimodal Knowledge Storage and Sharing in LLMs |
提出MKS2以增强大语言模型的多模态知识存储与共享能力 |
large language model multimodal instruction following |
✅ |
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| 2 |
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI |
提出MMMU基准以评估多模态模型在多学科推理中的表现 |
foundation model multimodal |
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| 3 |
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models |
提出MEDITRON-70B以解决医疗领域大规模语言模型的访问问题 |
large language model |
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| 4 |
SpotServe: Serving Generative Large Language Models on Preemptible Instances |
提出SpotServe以解决生成大语言模型的低成本服务问题 |
large language model |
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| 5 |
Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination |
实证研究大型语言模型在金融领域的幻觉问题 |
large language model |
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| 6 |
Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models |
提出CRaQAn数据集以解决问答中的共指解析问题 |
instruction following |
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| 7 |
YUAN 2.0: A Large Language Model with Localized Filtering-based Attention |
提出YUAN 2.0以提升大规模语言模型的性能与效率 |
large language model |
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| 8 |
Optimizing and Fine-tuning Large Language Model for Urban Renewal |
提出联合微调方法以优化城市更新领域的大语言模型 |
large language model |
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| 9 |
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer |
提出DP-OPT以解决大语言模型隐私保护的提示工程问题 |
large language model |
✅ |
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| 10 |
Novel Preprocessing Technique for Data Embedding in Engineering Code Generation Using Large Language Model |
提出新型预处理技术以提升工程代码生成的性能 |
large language model |
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| 11 |
Justifiable Artificial Intelligence: Engineering Large Language Models for Legal Applications |
提出可辩护的人工智能以解决法律领域信任问题 |
large language model |
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| 12 |
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models |
提出FreeAL以解决大语言模型时代的无人工主动学习问题 |
large language model |
✅ |
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| 13 |
MoDS: Model-oriented Data Selection for Instruction Tuning |
提出MoDS以解决指令调优中的数据选择问题 |
large language model instruction following |
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| 14 |
Real Customization or Just Marketing: Are Customized Versions of Chat GPT Useful? |
评估定制化GPT在商业统计教学中的有效性 |
large language model |
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| 15 |
The effect of source disclosure on evaluation of AI-generated messages: A two-part study |
研究源披露对AI生成消息评估的影响 |
large language model |
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