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Information retrieval30th China Conference, CCIR 2024, Wuhan, China, October 18-20, 2024 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Information retrievaledited by Xiangnan He, Zhaochun Ren, Ruiming Tang.
其他題名:	30th China Conference, CCIR 2024, Wuhan, China, October 18-20, 2024 : revised selected papers /
其他題名:	CCIR 2024
其他作者:	He, Xiangnan.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	x, 149 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Information retrievalCongresses.
電子資源:	https://doi.org/10.1007/978-981-96-1710-4
ISBN:	9789819617104$q(electronic bk.)

Information retrieval30th China Conference, CCIR 2024, Wuhan, China, October 18-20, 2024 : revised selected papers /
Information retrieval30th China Conference, CCIR 2024, Wuhan, China, October 18-20, 2024 : revised selected papers /[electronic resource] :CCIR 2024edited by Xiangnan He, Zhaochun Ren, Ruiming Tang. - Singapore :Springer Nature Singapore :2025. - x, 149 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,154180302-9743 ;. - Lecture notes in computer science ;4891..

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models. -- A Dual-Aligned Model for Multimodal Recommendation. -- CASINet: A Context-Aware Social Interaction Rumor Detection Network. -- A Claim Decomposition Benchmark for Long-form Answer Verification. -- Dual-granularity Hierarchical Fusion Network for Multimodal Humor Recognition on Memes. -- Exploring the Potential of Dimension Reduction in Building Efficient Dense Retrieval Systems. -- Relation Extraction Model Based on Overlap Rules and Abductive Learning. -- Multi-task Instruction Tuning for Temporal Question Answering over Knowledge Graphs. -- On the Capacity of Citation Generation by Large Language Models. -- Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?. -- QUITO: Accelerating Long-Context Reasoning through Query-Guided Context Compression.

This book constitutes the refereed proceedings of the 30th China Conference on Information Retrieval, CCIR 2024, held in Wuhan, China, during October 18-20, 2024. The 11 full papers presented in this volume were carefully reviewed and selected from 26 submissions. As the flagship conference of CIPS, CCIR focuses on the development of China's internet industry and provides a broad platform for the exchange of the latest academic and technological achievements in the field of information retrieval.

ISBN: 9789819617104$q(electronic bk.)

Standard No.: 10.1007/978-981-96-1710-4doiSubjects--Topical Terms:

384500
Information retrieval
--Congresses.

LC Class. No.: ZA3075

Dewey Class. No.: 025.04

Information retrieval30th China Conference, CCIR 2024, Wuhan, China, October 18-20, 2024 : revised selected papers /
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