| 1 |
Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models |
Genetic-Instruct:利用进化算法大规模合成高质量代码指令,提升LLM代码生成能力 |
large language model |
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| 2 |
Inference acceleration for large language models using "stairs" assisted greedy generation |
提出“阶梯”辅助贪婪生成方法,加速大型语言模型推理。 |
large language model |
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| 3 |
Sentiment Analysis of Lithuanian Online Reviews Using Large Language Models |
首次将Transformer模型应用于立陶宛语在线评论情感分析,显著优于GPT-4。 |
large language model |
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| 4 |
CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare |
CollectiveSFT:通过医疗领域集体指令微调,提升中文医疗基准下大语言模型性能 |
large language model |
✅ |
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| 5 |
What if Red Can Talk? Dynamic Dialogue Generation Using Large Language Models |
提出基于知识图谱增强的大语言模型对话生成框架,提升RPG游戏角色互动沉浸感。 |
large language model |
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| 6 |
Exploring Large Language Models to generate Easy to Read content |
利用大型语言模型生成易于阅读的内容,提升认知障碍人士的信息可访问性。 |
large language model |
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| 7 |
Comparative Analysis of Encoder-Based NER and Large Language Models for Skill Extraction from Russian Job Vacancies |
对比Encoder与LLM,用于俄语招聘信息技能提取,发现传统NER模型更优 |
large language model |
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| 8 |
Cool-Fusion: Fuse Large Language Models without Training |
提出Cool-Fusion,一种无需训练融合异构大语言模型的方法。 |
large language model |
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| 9 |
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks |
提出VolDoGer数据集,利用LLM辅助提升视觉-语言任务的领域泛化能力 |
large language model multimodal |
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| 10 |
Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost |
提出Constrained-CoT,通过约束输出长度提升LLM推理效率与正确性 |
large language model chain-of-thought |
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| 11 |
QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval |
QAEA-DR:一种用于稠密检索的统一文本增强框架 |
large language model |
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| 12 |
MindSearch: Mimicking Human Minds Elicits Deep AI Searcher |
MindSearch:模仿人类思维模式的深度AI搜索引擎 |
large language model |
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| 13 |
Do LLMs Really Adapt to Domains? An Ontology Learning Perspective |
探究LLM在本体学习中领域适应性:基于词汇语义的控制实验分析 |
large language model |
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| 14 |
ATHAR: A High-Quality and Diverse Dataset for Classical Arabic to English Translation |
ATHAR:一个高质量、多样化的古阿拉伯语到英语翻译数据集 |
large language model |
✅ |
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| 15 |
Improving Retrieval Augmented Language Model with Self-Reasoning |
提出基于自推理的检索增强语言模型框架,提升可靠性和可追溯性 |
large language model |
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| 16 |
APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching |
APE:基于主动学习的工具,用于为LLM实体匹配寻找信息量大的少量样本 |
large language model |
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| 17 |
Can Editing LLMs Inject Harm? |
提出编辑攻击,揭示LLM知识编辑中注入有害信息的新安全威胁 |
large language model |
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| 18 |
Legal Minds, Algorithmic Decisions: How LLMs Apply Constitutional Principles in Complex Scenarios |
评估LLM在复杂法律场景中的宪法原则应用能力,揭示GPT-4的倾向性 |
large language model |
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| 19 |
Do Text-to-Vis Benchmarks Test Real Use of Visualisations? |
评估文本到可视化基准测试是否反映真实用户需求,揭示现有基准与实际应用的差距 |
large language model |
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