| 1 |
From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models |
综述词向量到多模态嵌入:大型语言模型的技术、应用与未来方向 |
large language model multimodal |
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| 2 |
Analyzing Multimodal Features of Spontaneous Voice Assistant Commands for Mild Cognitive Impairment Detection |
利用语音助手命令的多模态特征进行轻度认知障碍检测 |
multimodal |
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| 3 |
Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models |
提出多项式组合激活函数PolyCom,提升大语言模型动态性和性能 |
large language model |
✅ |
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| 4 |
MEG: Medical Knowledge-Augmented Large Language Models for Question Answering |
提出MEG:一种医学知识增强的大语言模型,用于问答任务。 |
large language model |
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| 5 |
Improving Radiology Report Conciseness and Structure via Local Large Language Models |
利用本地大语言模型提升放射科报告的简洁性和结构化程度 |
large language model |
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| 6 |
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models |
提出M3SciQA多模态多文档科学问答基准,用于评估基础模型在复杂科研场景下的能力。 |
foundation model |
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| 7 |
QUILL: Quotation Generation Enhancement of Large Language Models |
QUILL:通过引言生成增强大型语言模型的能力 |
large language model |
✅ |
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| 8 |
Deploying Multi-task Online Server with Large Language Model |
提出三阶段多任务学习框架,在降低90.9%开销的同时,性能与单任务模型相当。 |
large language model |
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| 9 |
Diversity Helps Jailbreak Large Language Models |
利用多样性提示破解大型语言模型安全限制,显著提升攻击成功率 |
large language model |
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| 10 |
Multi3Hate: Multimodal, Multilingual, and Multicultural Hate Speech Detection with Vision-Language Models |
提出Multi3Hate数据集,揭示多文化背景下视觉-语言模型仇恨言论检测的偏差。 |
multimodal |
✅ |
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| 11 |
A Comparative Study of Recent Large Language Models on Generating Hospital Discharge Summaries for Lung Cancer Patients |
对比研究大型语言模型在生成肺癌患者出院总结中的表现,发现LLaMA 3具有优势 |
large language model |
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| 12 |
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress? |
医学领域大语言和视觉语言模型适配研究:领域自适应预训练真的有效吗? |
large language model foundation model |
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| 13 |
Number Cookbook: Number Understanding of Language Models and How to Improve It |
提出Number Cookbook基准,提升LLM在数值理解和处理方面的能力 |
large language model chain-of-thought |
✅ |
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| 14 |
From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond |
探索医学挑战问题:对比Medprompt与o1模型的运行时策略 |
large language model chain-of-thought |
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| 15 |
Improving Bilingual Capabilities of Language Models to Support Diverse Linguistic Practices in Education |
通过改进语言模型的双语能力,支持教育领域中多样化的语言实践 |
large language model |
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| 16 |
Bottom-Up and Top-Down Analysis of Values, Agendas, and Observations in Corpora and LLMs |
提出一种自底向上和自顶向下的方法,用于分析语料库和LLM中的价值观、议程和观察结果。 |
large language model |
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| 17 |
What Really is Commonsense Knowledge? |
提出常识知识统一定义,揭示常识QA数据集中的非常识实例问题 |
large language model |
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| 18 |
Evaluating Moral Beliefs across LLMs through a Pluralistic Framework |
提出三模块框架,评估大型语言模型在道德选择、道德辩论中的道德信念及文化、性别偏见。 |
large language model |
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| 19 |
Beemo: Benchmark of Expert-edited Machine-generated Outputs |
Beemo:专家编辑的机器生成文本基准,用于评估多作者场景下的文本溯源。 |
large language model |
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| 20 |
How Does A Text Preprocessing Pipeline Affect Ontology Matching? |
研究文本预处理流程对本体匹配的影响,并提出基于逻辑和LLM的修复方法。 |
large language model |
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| 21 |
Understanding the Effects of Human-written Paraphrases in LLM-generated Text Detection |
提出HLPC数据集,研究人工释义对LLM生成文本检测的影响 |
large language model |
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