| 1 |
MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion Analysis |
提出MEMO-Bench,用于评估文本到图像模型和多模态大语言模型在人类情感分析上的能力。 |
large language model multimodal |
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| 2 |
Understanding Chain-of-Thought in LLMs through Information Theory |
通过信息论理解LLM中的思维链,无需标注数据即可评估中间推理步骤。 |
large language model chain-of-thought |
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| 3 |
Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning |
评估大语言模型在物理知识和推理中的不确定性,揭示准确率与置信度的关系。 |
large language model |
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| 4 |
Large Language Model for Qualitative Research -- A Systematic Mapping Study |
系统性综述:利用大型语言模型赋能质性研究 |
large language model |
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| 5 |
ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity |
ByteScience:利用自动微调LLM桥接非结构化科学文献与结构化数据 |
large language model |
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| 6 |
Moral Persuasion in Large Language Models: Evaluating Susceptibility and Ethical Alignment |
研究大型语言模型在道德说服下的行为,评估其易感性和伦理一致性 |
large language model |
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| 7 |
CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization |
CROW:通过内部一致性正则化消除大型语言模型中的后门 |
large language model |
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| 8 |
LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models |
提出LP数据流水线,利用CPU高效构建特定领域的大语言模型数据集。 |
large language model |
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| 9 |
Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models |
利用大型语言模型分析大学生心理健康支持的情感倾向 |
large language model |
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| 10 |
Membership Inference Attack against Long-Context Large Language Models |
针对长文本大语言模型的上下文成员推理攻击,揭示隐私泄露风险 |
large language model |
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| 11 |
Large corpora and large language models: a replicable method for automating grammatical annotation |
提出一种基于大语言模型的语法标注自动化方法,提升语言学研究效率。 |
large language model |
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| 12 |
ZeFaV: Boosting Large Language Models for Zero-shot Fact Verification |
ZeFaV:利用大语言模型增强零样本事实核查能力 |
large language model |
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| 13 |
Popular LLMs Amplify Race and Gender Disparities in Human Mobility |
大型语言模型在人类移动预测中加剧种族和性别偏见 |
large language model |
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| 14 |
FedCoLLM: A Parameter-Efficient Federated Co-tuning Framework for Large and Small Language Models |
FedCoLLM:面向大小语言模型的参数高效联邦协同调优框架 |
large language model |
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| 15 |
Enhancing LLM Reasoning with Reward-guided Tree Search |
提出STILL-1框架,利用奖励引导的树搜索增强LLM在数学推理任务中的能力 |
large language model |
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| 16 |
Addressing Hallucinations in Language Models with Knowledge Graph Embeddings as an Additional Modality |
提出一种基于知识图谱嵌入的LLM增强方法,以减少幻觉问题 |
large language model |
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| 17 |
Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation |
提出基于检索的低资源语言翻译方法,提升LLM在少数民族语言翻译上的性能 |
large language model |
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| 18 |
Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models |
提出安全雪球代理以破解大型视觉语言模型的安全性问题 |
multimodal |
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| 19 |
Rethinking Thinking Tokens: Understanding Why They Underperform in Practice |
分析性思考令牌(Thinking Tokens)在语言模型推理中表现不佳的原因 |
chain-of-thought |
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| 20 |
VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs |
VersaTune:一种高效的数据组合框架,用于训练多能力大型语言模型 |
large language model |
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