Information Retrieval : 31st China Conference, CCIR 2025, Shihezi, China, August 15-17, 2025, Revised Selected Papers (Lecture Notes in Computer Science)

Li, Zhigang (EDT)/ Lan, Yanyan (EDT)/ Chen, Zhumin (EDT)

Springer Verlag, Singapore（2026/01発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 140 p.
• 言語 ENG
• 商品コード 9789819556366

Full 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.

Contents

.- 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.