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Beskrivning
This book constitutes the refereed proceedings of the 31st China Conference on Information Retrieval, CCIR 2025, held in Wuhan, China, during August 15–17, 2025.The 9 full papers were presented in this volume were carefully reviewed and selected from 13 submissions. This conference focuses on the deep integration of large language models with classic retrieval paradigms.
.- CFC-CPI:Cross-scale Feature Fusion for Compound-Protein Interaction Prediction..- Reinforcement Learning-Based Attribute Alignment for Role-Playing of LLM..- Medical Question-physician Robustness Routing for Community Healthcare Services..- A Comparative Study of Specialized LLMs as Dense Retrievers..- Generalizable and Robust Phenotypic Drug Discovery..- FRAUDLLM: Zero-Shot Fraud Detection with Large Language Models..- FADE: Progressive Unlearning for Language Models via Adversarial Disruption and Editing..- MMKRF: A Domain-Specific Knowledge Retrieval Framework for RAG Systems in Materials Mechanics..- Multi-round Dialogue Embedding Based on Dynamic Context Awareness.