{"title":"Jiye Liang","description":null,"products":[{"product_id":"knowledge-graphs-and-semantic-computing-jiye-liang-ebook","title":"Knowledge Graphs and Semantic Computing","description":"\u003cp\u003e\u003cstrong\u003e.- Knowledge Graph Construction and Integration.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e.- A Cross-Subgraph Attention Fusion and Comparison Method for Contrastive Learning Based Knowledge Graph Completion.\u003c\/p\u003e\n\u003cp\u003e.- A Preliminary Attempt to Generate a Sichuan Dialect Handbook by LLMs.\u003c\/p\u003e\n\u003cp\u003e.- EDREL: Document-level Relation Extraction with Evidence and Logical Rules.\u003c\/p\u003e\n\u003cp\u003e.- Knowledge Retrieval-Augmented Interest learning for Recommendation.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e.- Large Models Enhanced by Knowledge Graphs.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e.- Multi-granularity Hierarchical RAG for Welding Parameter Recommendation.\u003c\/p\u003e\n\u003cp\u003e.- Lag-Relative Sparse Attention In Long Context Training.\u003c\/p\u003e\n\u003cp\u003e.- VIKA: Vectorized Indispensable Knowledge-subgraph Augmentation for Large Language Models.\u003c\/p\u003e\n\u003cp\u003e.- Traff-LLM: A Spatio-Temporal Knowledge-Guided Large Language Model for Traffic Flow Prediction.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e.- Applications of Knowledge Graphs and Large Models\/Agents.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e.- MAEPS: Multi-Agent Event Prediction System Based on Human Expert Team Collaboration Simulation.\u003c\/p\u003e\n\u003cp\u003e.- Zero-shot Instruction Generation via Dual-Alignment Instruction Wrappers with Summary-Text fused instruction wrappers.\u003c\/p\u003e\n\u003cp\u003e.- FEFT: A Feedback-enhanced Evaluation Fine-tuning Framework for Financial Report Summarization.\u003c\/p\u003e\n\u003cp\u003e.- Iterative Generation Method for Factual QA in Large Language Models Based on Semantic Entropy Verification.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e.- Open Resources for Knowledge Graphs and Large Models.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e.- Autism Children Education Knowledge Graph: Construction and Validation.\u003c\/p\u003e\n\u003cp\u003e.- C-Voice: Culturally-grounded Multi-dimensional Alignment of LLMs with Chinese Social Values.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e.- Evaluations.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e.- HiParse-RAG: A High-Fidelity Document Parsing and Hybrid Retrieval Multi-Model Fusion Framework for Complex Academic Question Answering.\u003c\/p\u003e\n\u003cp\u003e.- HybriDoc: An Adaptive Multi-Path Framework for End-to-End Document Structure Extraction.\u003c\/p\u003e\n\u003cp\u003e.- Pre-training for Document Structure Extraction with Lightweight Model Architecture.\u003c\/p\u003e\n\u003cp\u003e.- Robust Detection of AI-Generated Text: Insights on Evolving LLMs and Adversarial Data.\u003c\/p\u003e\n\u003cp\u003e.- A Fact-Aware Cascaded Framework for Dynamic-granularity Timeline Summarization.\u003c\/p\u003e\n\u003cp\u003e.- Multi-Agent for Dynamic-Granularity Timeline Summarization.\u003c\/p\u003e\n\u003cp\u003e.- Advancing Grounded Multimodal NER via Self-Reflective Prompt Refinement and Visual Noise Mitigation.\u003c\/p\u003e\n\u003cp\u003e.- ReFineG: Synergizing Small Supervised Models and LLMs for Low-Resource Grounded Multimodal NER.\u003c\/p\u003e","brand":"Jiye Liang","offers":[{"title":"Default Title","offer_id":54276802052423,"sku":"9789819585250","price":80.24,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/knowledge-graphs-and-semantic-computing-ebook-cover.webp?v=1783018005"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/collections\/jiye-liang-autor-kollektion.webp?v=1783018003","url":"https:\/\/www.cinebuch.de\/collections\/jiye-liang.oembed","provider":"CineBuch","version":"1.0","type":"link"}