Information Retrieval
Description
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.
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Content
.- 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.