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NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, NLDB 2025, PT I

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Accelerating End-to-End PDF to Markdown Conversion Through Assisted Generation通过辅助生成加速端到端PDF到Markdown的转换
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delete2026-01-01
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deleteDuan, Changxu
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CLIP-Driven Deep Hashing for Cross-Modal Retrieval基于CLIP驱动的深度哈希用于跨模态检索
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deleteHan, Zhichao; Azman, Azreen; Mustaffa, Mas Rina; Khalid, Fatimah
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Comparison of Pipelines, Seq2seq Models, and LLMs for Rare Disease Information Extraction比较管道、Seq2seq模型和LLMs在罕见病信息提取中的应用
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deleteGupta, Shashank; Ai, Xuguang; Jiang, Yuhang; Kavuluru, Ramakanth
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Explaining Bias in Internal Representations of Large Language Models via Concept Activation Vectors通过概念激活向量解释大型语言模型内部表示中的偏差
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deleteCatapang, Jasper Kyle
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QA2HALL: A Framework for Generating Non-trivial Hallucination Detection Datasets from KGQA DatasetsQA2HALL：从KGQA数据集生成非平凡幻觉检测数据集的框架
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deleteNakamura, Kosuke; Hasegawa, Rie; Otomura, Kotaro; Ichise, Ryutaro; Hato, Jumpei
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A Multiple Graphical Convolution Networks Approach for Aspect-Based Sentiment Classification基于多重图卷积网络的方法用于基于方面的情感分类
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deleteKazakova, Diana; Frasincar, Flavius; Klinkhamer, Jasmijn
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Multimodal Event Detection: Current Approaches and Defining the New Playground Through LLMs and VLMsDey, A.; Bothera, A.; Sarikonda, S.; Aryan, R.; Podishetty, S.K.; Havalgi, A.; Srivastava, S.; Singh, G. 多模态事件检测：当前方法及通过LLMs和VLMs定义新范式。载于《自然语言处理与信息系统》会议论文集；计算机科学讲义丛书LNCS；Springer：德国柏林/海德堡，2025年；卷15836，第457–471页。[Google Scholar][CrossRef]
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deleteDey, Abhishek; Bothera, Aabha; Sarikonda, Samhita; Aryan, Rishav; Podishetty, Sanjay Kumar; Havalgi, Akshay; Srivastava, Saurabh; Singh, Gaurav
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Improve Smart Contract Vulnerability Explanation with Synthetic Data and Chain-of-Thought Prompting利用合成数据和思维链提示改进智能合约漏洞解释
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deleteNgoc Minh Nguyen; Inoue, Naoya; Le Minh Nguyen
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Towards an Ontological Approach to Browser Fingerprinting Detection and Privacy Risk Assessment基于本体论方法的浏览器指纹识别检测和隐私风险评估
deleteNATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, NLDB 2025, PT I
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deleteMcDermott, Christopher D.; Munasinghe, Lankeshwara; Nicho, Mathew
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Multi-scale Convolutional Fusion with Contrastive Feature Alignment for Imbalanced Data Classification多尺度卷积融合与对比特征对齐用于不平衡数据分类
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deleteInoshita, Keito; Ueno, Takato; Zhou, Xiaokang
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Instruction Tuning TextFlow Semi-automatic RFCs Generation指令微调文本流半自动RFCs生成
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deleteBian, Jie; Welzl, Michael
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Context is the Key for LLM-Based Text Segmentation基于大语言模型的文本分割关键在于上下文
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deleteMaraj, Amit; Martin, Miguel Vargas
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Semantic Reasoning for Device Identification in Dynamic Internet of Things Environments with Large Language Models基于大语言模型的动态物联网环境中的设备识别语义推理
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deleteGui, Zhou; Kuty, Layla; Schraudner, Daniel; Harth, Andreas
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WIP: Iterative Post-training Pruning with Weighted Importance Estimation for Large Language ModelsWIP：带加权重要性估计的迭代后训练剪枝方法用于大型语言模型
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deleteDo, Dinh-Truong; Shirai, Kiyoaki; Nguyen, Le-Minh
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Causal Relation-Aware Data Augmentation for Legal Textual Entailment因果关系感知的数据增强用于法律文本蕴含
deleteNATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, NLDB 2025, PT I
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deleteChu, Huy; Chu, Hoang; Nguyen, Phuong; Nguyen, Minh
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Leveraging Generative AI for Chronic Kidney Disease Prediction: A Comparative Study of Open-Source LLMs利用生成式人工智能进行慢性肾病预测：开源大语言模型的比较研究
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deleteAbhin, B.; Kumar, Hemanth M.; Kamath, Sowmya S.; Sugumaran, Vijayan
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ShortPathQA: A Dataset for Controllable Fusion of Large Language Models with Knowledge GraphsShortPathQA: 一个用于控制大型语言模型与知识图谱融合的语料库
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deleteSalnikov, Mikhail; Sakhovskiy, Andrey; Nikishina, Irina; Usmanova, Aida; Kraft, Angelie; Moller, Cedric; Banerjee, Debayan; Huang, Junbo; Jiang, Longquan; Abdullah, Rana; Yan, Xi; Tutubalina, Elena; Usbeck, Ricardo; Panchenko, Alexander
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ViMRHP: A Vietnamese Benchmark Dataset for Multimodal Review Helpfulness Prediction via Human-AI Collaborative AnnotationViMRHP：一个通过人机协作标注的越南语多模态评论有用性预测基准数据集
deleteNATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, NLDB 2025, PT I
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deleteTruc Mai-Thanh Nguyen; Dat Minh Nguyen; Luu, Son T.; Kiet Van Nguyen
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A Comparative Study on the Development of a Thai Legal QA Framework Using Large Language Models and Mixed Legal Datasets使用大型语言模型和混合法律数据集的泰国法律问答框架开发比较研究
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deleteHanwiboonwat, Supachoke; Thavornthaveekul, Chaichana; Boonkwan, Prachya; Piyatumrong, Apivadee; Vateekul, Peerapon
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How Important is Domain-Specific Language Model Pretraining and Instruction Finetuning for Biomedical Relation Extraction?领域特定语言模型预训练和指令微调对生物医学关系提取有多重要？
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deleteBrokman, Aviv; Kavuluru, Ramakanth
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