Information Retrieval : 31st China Conference, CCIR 2025, Shihezi, China, August 15–17, 2025, Revised Selected Papers / / edited by Zhigang Li, Yanyan Lan, Zhumin Chen
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| Autore: |
Li Zhigang
|
| Titolo: |
Information Retrieval : 31st China Conference, CCIR 2025, Shihezi, China, August 15–17, 2025, Revised Selected Papers / / edited by Zhigang Li, Yanyan Lan, Zhumin Chen
|
| Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026 |
| Edizione: | 1st ed. 2026. |
| Descrizione fisica: | 1 online resource (223 pages) |
| Disciplina: | 025.04 |
| Soggetto topico: | 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 | |
| Altri autori: |
Li
|
| Nota di contenuto: | -- 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Information Retrieval |
| ISBN: | 981-9556-37-6 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 996696878303316 |
| Lo trovi qui: | Univ. di Salerno |
| Opac: | Controlla la disponibilità qui |
Serie:
Lecture Notes in Computer Science, . 1611-3349 ; ; 16369