| 1 |
Surprisingly Fragile: Assessing and Addressing Prompt Instability in Multimodal Foundation Models |
揭示多模态基础模型对Prompt的脆弱性并提出数据增强缓解方案 |
foundation model multimodal |
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| 2 |
Evaluating Large Language Models on Spatial Tasks: A Multi-Task Benchmarking Study |
构建多任务空间评估基准,系统评估大型语言模型在空间任务上的能力 |
large language model chain-of-thought |
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| 3 |
LLM-3D Print: Large Language Models To Monitor and Control 3D Printing |
提出LLM-3D Print框架,利用大语言模型监控和控制3D打印过程,实现缺陷检测与自主纠正。 |
large language model |
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| 4 |
Classification of Safety Events at Nuclear Sites using Large Language Models |
利用大型语言模型对核电站安全事件进行分类,提升安全管理效率。 |
large language model |
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| 5 |
Question answering system of bridge design specification based on large language model |
构建基于大语言模型的桥梁设计规范问答系统 |
large language model |
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| 6 |
Training-Free Activation Sparsity in Large Language Models |
提出TEAL:一种免训练的大语言模型激活稀疏化方法,提升推理速度。 |
large language model |
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| 7 |
Claim Verification in the Age of Large Language Models: A Survey |
综述:大型语言模型时代下的声明验证技术 |
large language model |
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| 8 |
Examining Independence in Ensemble Sentiment Analysis: A Study on the Limits of Large Language Models Using the Condorcet Jury Theorem |
基于孔多塞陪审团定理,研究集成情感分析中大语言模型的独立性局限 |
large language model |
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| 9 |
Focused Large Language Models are Stable Many-Shot Learners |
提出FocusICL,解决LLM在多示例学习中因注意力分散导致性能下降的问题 |
large language model |
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| 10 |
Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models |
提出ID³动态解掩参数高效微调LLM,提升计算效率并兼顾性能。 |
large language model |
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| 11 |
Explicit Inductive Inference using Large Language Models |
利用大语言模型中的归因偏差进行显式归纳推理 |
large language model |
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| 12 |
Epidemic Information Extraction for Event-Based Surveillance using Large Language Models |
利用大型语言模型进行事件驱动的流行病信息抽取,实现疫情监控 |
large language model |
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| 13 |
Enhancing Depression Diagnosis with Chain-of-Thought Prompting |
利用思维链提示增强抑郁症诊断的准确性 |
chain-of-thought |
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| 14 |
TF-Attack: Transferable and Fast Adversarial Attacks on Large Language Models |
提出TF-Attack,加速并提升大语言模型对抗攻击的迁移性。 |
large language model |
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| 15 |
On the Limitations of Language Targeted Pruning: Investigating the Calibration Language Impact in Multilingual LLM Pruning |
研究多语言LLM剪枝中校准语言的影响,揭示现有剪枝方法的局限性 |
large language model |
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| 16 |
LogProber: Disentangling confidence from contamination in LLM responses |
提出LogProber算法,用于检测LLM响应中因数据泄露导致的污染问题。 |
large language model |
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| 17 |
DSTI at LLMs4OL 2024 Task A: Intrinsic versus extrinsic knowledge for type classification |
DSTI提出基于语义塔的外部知识表示方法,用于本体学习中的类型分类。 |
large language model |
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| 18 |
Evaluating ChatGPT on Nuclear Domain-Specific Data |
评估ChatGPT在核领域特定数据上的问答能力,并探索RAG的增强效果 |
large language model |
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| 19 |
MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation Functions |
MODOC:一个灵活的模块化界面,用于文本检索和文本生成功能的互联互通 |
large language model |
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