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Information Retrieval : 31st China Conference, CCIR 2025, Shihezi, China, August 15–17, 2025, Revised Selected Papers / edited by Zhigang Li, Yanyan Lan, Zhumin Chen.

Springer Nature - Springer Computer Science eBooks 2026 English International Available online

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Format:
Book
Author/Creator:
Li, Zhigang.
Contributor:
Li
Series:
Lecture Notes in Computer Science, 1611-3349 ; 16369
Language:
English
Subjects (All):
Information storage and retrieval systems.
Application software.
Data mining.
Artificial intelligence.
Information Storage and Retrieval.
Computer and Information Systems Applications.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Local Subjects:
Information Storage and Retrieval.
Computer and Information Systems Applications.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Physical Description:
1 online resource (223 pages)
Edition:
1st ed. 2026.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
Summary:
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.
ISBN:
981-9556-37-6
9789819556373
OCLC:
1569177355

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