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Generalizing from limited resources in the open world = third international workshop, GLOW 2025, held in conjunction with IJCAI 2025, Montreal, Canada, August 16-22, 2025, proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Generalizing from limited resources in the open world/ edited by Yuqing Ma ... [et al.].
其他題名:	third international workshop, GLOW 2025, held in conjunction with IJCAI 2025, Montreal, Canada, August 16-22, 2025, proceedings /
其他題名:	GLOW 2025
其他作者:	Ma, Yuqing.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	x, 196 p. :ill. (chiefly col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Artificial intelligence -
電子資源:	https://doi.org/10.1007/978-981-95-0988-1
ISBN:	9789819509881

Generalizing from limited resources in the open world = third international workshop, GLOW 2025, held in conjunction with IJCAI 2025, Montreal, Canada, August 16-22, 2025, proceedings /
Generalizing from limited resources in the open worldthird international workshop, GLOW 2025, held in conjunction with IJCAI 2025, Montreal, Canada, August 16-22, 2025, proceedings /[electronic resource] :GLOW 2025edited by Yuqing Ma ... [et al.]. - Singapore :Springer Nature Singapore :2025. - x, 196 p. :ill. (chiefly col.), digital ;24 cm. - Communications in computer and information science,26401865-0937 ;. - Communications in computer and information science ;311..

-- Evaluating the Behavior of Small Language Models in Answering Binary Question. -- Event-Priori-Based Vision-Language Model for Efficient Visual Understanding. -- Prompt-Tuning Bandits: Enabling Few-Shot Generalization for Efficient Multi-Task Offline RL. -- GateLIP-X:Balancing Adaptation and Generalization in CLIP for Real-World via a Training-Free Framework. -- QSE: Mitigating LLM Hallucinations through Query-adaptive Saliency-localized Activation Editing. -- Meta-Learning with Heterogeneous Tasks. -- DIN: Dynamical Interaction Network for Multi-Station Multi-Variable Weather Prediction. -- Towards Inclusive NLP: Assessing Compressed Multilingual Transformers across Diverse Language Benchmarks. -- Knowledge-Guided Structured Pruning for Multimodal Language Models . -- Vision Transformers for End-to-End Quark-Gluon Jet Classification from Calorimeter Images. -- Special solutions with small volume exist. -- Adaptive Contextual Embedding for Robust Far-View Borehole Detection. -- Class-Aware Sinkhorn-DRO for Few-Shot Domain Adaptation.

This book presents the proceedings from the Third International Workshop on Generalizing from Limited Resources in the Open World (GLOW) 2025 held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2025, in Montreal, Canada, during August 16-22, 2025. The 12 full papers in this book were carefully reviewed and selected from 27 submissions. These papers focus on the academic exploration of efficient methodologies within the realm of artificial intelligence models. We concentrated on both data-efficient strategies, such as zero/few-shot learning and domain adaptation, as well as model-efficient approaches like model sparsification and compact model design.

ISBN: 9789819509881

Standard No.: 10.1007/978-981-95-0988-1doiSubjects--Topical Terms:

671585
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

Generalizing from limited resources in the open world = third international workshop, GLOW 2025, held in conjunction with IJCAI 2025, Montreal, Canada, August 16-22, 2025, proceedings /
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