| 1 |
LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages |
利用大型语言模型注释解决低资源语言的数据标注问题 |
large language model |
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| 2 |
Topic-Based Watermarks for Large Language Models |
提出基于主题的水印方案以增强大语言模型的文本安全性 |
large language model |
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| 3 |
Evaluating Large Language Models Using Contrast Sets: An Experimental Approach |
提出对比集生成方法以提升自然语言推理模型评估 |
large language model |
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| 4 |
Comparative Study of Domain Driven Terms Extraction Using Large Language Models |
比较研究大型语言模型在领域驱动术语提取中的应用 |
large language model |
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| 5 |
Large Language Models as Planning Domain Generators |
提出利用大型语言模型自动生成规划领域模型以简化AI规划 |
large language model |
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| 6 |
SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generation |
提出SGSH框架以提升知识库问答生成的效果 |
large language model |
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| 7 |
Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey |
评估大型语言模型推理行为的新方法 |
large language model |
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| 8 |
Using Large Language Models to Understand Telecom Standards |
提出使用大型语言模型以解决通信标准信息获取问题 |
large language model |
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| 9 |
CATP: Cross-Attention Token Pruning for Accuracy Preserved Multimodal Model Inference |
提出跨注意力令牌修剪方法以提升多模态模型推理精度 |
multimodal |
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| 10 |
Helmsman of the Masses? Evaluate the Opinion Leadership of Large Language Models in the Werewolf Game |
评估大型语言模型在狼人游戏中的舆论领导力 |
large language model |
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| 11 |
Classifying Cancer Stage with Open-Source Clinical Large Language Models |
利用开源临床大语言模型进行癌症分期分类 |
large language model |
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| 12 |
Toward Informal Language Processing: Knowledge of Slang in Large Language Models |
构建英语俚语处理基准以提升大语言模型性能 |
large language model |
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| 13 |
Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models |
基于大型语言模型的数学选择题干扰项自动生成研究 |
large language model |
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| 14 |
LastResort at SemEval-2024 Task 3: Exploring Multimodal Emotion Cause Pair Extraction as Sequence Labelling Task |
提出多模态情感原因对提取模型以解决情感分析问题 |
multimodal |
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| 15 |
HyperCLOVA X Technical Report |
提出HyperCLOVA X以提升韩语及多语言处理能力 |
large language model instruction following |
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| 16 |
Emergent Abilities in Reduced-Scale Generative Language Models |
提出简化预训练数据以提升小型语言模型的零-shot学习能力 |
large language model |
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| 17 |
Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack |
提出对抗攻击框架以规避AI文本检测 |
large language model |
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| 18 |
Understanding How CodeLLMs (Mis)Predict Types with Activation Steering |
通过激活引导提升代码LLMs的类型预测能力 |
large language model |
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| 19 |
Long-context LLMs Struggle with Long In-context Learning |
提出LongICLBench以评估长上下文LLMs在极端标签分类中的表现 |
large language model |
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| 20 |
Stereotype Detection in LLMs: A Multiclass, Explainable, and Benchmark-Driven Approach |
提出多粒度刻板印象检测方法以解决LLMs中的偏见问题 |
large language model |
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| 21 |
CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models |
提出CMAT框架以增强小型语言模型的协作能力 |
large language model |
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| 22 |
Deconstructing In-Context Learning: Understanding Prompts via Corruption |
通过腐蚀分析提出新方法以理解上下文学习中的提示 |
large language model |
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