Information Extraction


Information extraction is the process of automatically extracting structured information from unstructured text data.

Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models

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Jun 06, 2025
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CC-RAG: Structured Multi-Hop Reasoning via Theme-Based Causal Graphs

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Jun 11, 2025
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Improving LLM Agent Planning with In-Context Learning via Atomic Fact Augmentation and Lookahead Search

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Jun 10, 2025
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DynTok: Dynamic Compression of Visual Tokens for Efficient and Effective Video Understanding

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Jun 04, 2025
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DanceChat: Large Language Model-Guided Music-to-Dance Generation

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Jun 12, 2025
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An Unsupervised Framework for Dynamic Health Indicator Construction and Its Application in Rolling Bearing Prognostics

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Jun 05, 2025
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Q2E: Query-to-Event Decomposition for Zero-Shot Multilingual Text-to-Video Retrieval

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Jun 11, 2025
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MrM: Black-Box Membership Inference Attacks against Multimodal RAG Systems

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Jun 09, 2025
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BridgeNet: A Hybrid, Physics-Informed Machine Learning Framework for Solving High-Dimensional Fokker-Planck Equations

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Jun 09, 2025
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HieraEdgeNet: A Multi-Scale Edge-Enhanced Framework for Automated Pollen Recognition

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Jun 09, 2025
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