國立高雄大學圖資館 |

Language: English

Back

AI for research and scalable, efficient systemssecond international workshop, AI4Research 2025, and first international workshop, SEAS 2025, held in conjunction with AAAI 2025, Philadelphia, Pennsylvania, USA, February 25-March 4, 2025, proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI for research and scalable, efficient systemsedited by Qingyun Wang ... [et al.].
Reminder of title:	second international workshop, AI4Research 2025, and first international workshop, SEAS 2025, held in conjunction with AAAI 2025, Philadelphia, Pennsylvania, USA, February 25-March 4, 2025, proceedings /
remainder title:	AI4Research 2025
other author:	Wang, Qingyun.
corporate name:
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xiv, 302 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence
Online resource:	https://doi.org/10.1007/978-981-96-8912-5
ISBN:	9789819689125$q(electronic bk.)

AI for research and scalable, efficient systemssecond international workshop, AI4Research 2025, and first international workshop, SEAS 2025, held in conjunction with AAAI 2025, Philadelphia, Pennsylvania, USA, February 25-March 4, 2025, proceedings /
AI for research and scalable, efficient systemssecond international workshop, AI4Research 2025, and first international workshop, SEAS 2025, held in conjunction with AAAI 2025, Philadelphia, Pennsylvania, USA, February 25-March 4, 2025, proceedings /[electronic resource] :AI4Research 2025edited by Qingyun Wang ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xiv, 302 p. :ill., digital ;24 cm. - Communications in computer and information science,25331865-0937 ;. - Communications in computer and information science ;229..

-- AI4Research 2025. -- ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies. -- LLMs Tackle Meta-Analysis: Automating Scientific Hypothesis Generation with Statistical Rigor. -- AuditBench: A Benchmark for Large Language Models in Financial Statement Auditing. -- Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework. -- Empowering AI as Autonomous Researchers: Evaluating LLMs in Generating Novel Research Ideas through Automated Metrics. -- Multi-LLM Collaborative Caption Generation in Scientific Documents. -- CypEGAT: A Deep Learning Framework Integrating Protein Language Model and Graph Attention Networks for Enhanced CYP450s Substrate Prediction. -- Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing. -- SEAS 2025. -- ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back Propagation. -- Knowledge Distillation with Training Wheels. -- PickLLM: Context-Aware RL-Assisted Large Language Model Routing. -- ZNorm: Z-Score Gradient Normalization Accelerating Skip-Connected Network Training without Architectural Modification. -- The Impact of Multilingual Model Scaling on Seen and Unseen Language Performance. -- Information Consistent Pruning: How to Efficiently Search for Sparse Networks?. -- Efficient Image Similarity Search with Quadtrees.

This book constitutes the proceedings of the Second International Workshop, AI4Research 2025, and First International Workshop, SEAS 2025, which were held in conjunction with AAAI 2025, Philadelphia, PA, USA, during February 25-March 4, 2025. AI4Research 2025 presented 8 full papers from 35 submissions. The papers covered diverse areas such as agent debate evaluation, taxonomy expansion, hypothesis generation, AI4Research benchmarks, caption generation, drug discovery, and financial auditing. SEAS 2025 accepted 7 full papers from 17 submissions. These papers explore the efficiency and scalability of AI models.

ISBN: 9789819689125$q(electronic bk.)

Standard No.: 10.1007/978-981-96-8912-5doiSubjects--Topical Terms:

252958
Artificial intelligence

LC Class. No.: Q334

Dewey Class. No.: 006.3

AI for research and scalable, efficient systemssecond international workshop, AI4Research 2025, and first international workshop, SEAS 2025, held in conjunction with AAAI 2025, Philadelphia, Pennsylvania, USA, February 25-March 4, 2025, proceedings /
LDR:03385nmm a22003615a 4500 001 692779
003 DE-He213
005 20260416120421.0
006 m d
007 cr nn 008maaau
008 260622s2025 si s 0 eng d
020 $a 9789819689125$q(electronic bk.)
020 $a 9789819689118$q(paper)
024 7 $a 10.1007/978-981-96-8912-5 $2 doi
035 $a 978-981-96-8912-5
040 $a GP $c GP
041 0 $a eng
050 4 $a Q334
072 7 $a UYQM $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a UYQM $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q334 $b .A288 2025
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a AI for research and scalable, efficient systems $h [electronic resource] : $b second international workshop, AI4Research 2025, and first international workshop, SEAS 2025, held in conjunction with AAAI 2025, Philadelphia, Pennsylvania, USA, February 25-March 4, 2025, proceedings / $c edited by Qingyun Wang ... [et al.].
246 3 $a AI4Research 2025
246 3 $a SEAS 2025
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xiv, 302 p. : $b ill., digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 2533
505 0 $a -- AI4Research 2025. -- ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies. -- LLMs Tackle Meta-Analysis: Automating Scientific Hypothesis Generation with Statistical Rigor. -- AuditBench: A Benchmark for Large Language Models in Financial Statement Auditing. -- Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework. -- Empowering AI as Autonomous Researchers: Evaluating LLMs in Generating Novel Research Ideas through Automated Metrics. -- Multi-LLM Collaborative Caption Generation in Scientific Documents. -- CypEGAT: A Deep Learning Framework Integrating Protein Language Model and Graph Attention Networks for Enhanced CYP450s Substrate Prediction. -- Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing. -- SEAS 2025. -- ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back Propagation. -- Knowledge Distillation with Training Wheels. -- PickLLM: Context-Aware RL-Assisted Large Language Model Routing. -- ZNorm: Z-Score Gradient Normalization Accelerating Skip-Connected Network Training without Architectural Modification. -- The Impact of Multilingual Model Scaling on Seen and Unseen Language Performance. -- Information Consistent Pruning: How to Efficiently Search for Sparse Networks?. -- Efficient Image Similarity Search with Quadtrees.
520 $a This book constitutes the proceedings of the Second International Workshop, AI4Research 2025, and First International Workshop, SEAS 2025, which were held in conjunction with AAAI 2025, Philadelphia, PA, USA, during February 25-March 4, 2025. AI4Research 2025 presented 8 full papers from 35 submissions. The papers covered diverse areas such as agent debate evaluation, taxonomy expansion, hypothesis generation, AI4Research benchmarks, caption generation, drug discovery, and financial auditing. SEAS 2025 accepted 7 full papers from 17 submissions. These papers explore the efficiency and scalability of AI models.
650 0 $a Artificial intelligence $3 252958
650 1 4 $a Machine Learning. $3 833608
650 2 4 $a Natural Language Processing (NLP). $3 988974
650 2 4 $a Knowledge Based Systems. $3 913337
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Data Science. $3 913495
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Wang, Qingyun. $3 1009203
710 2 $a SpringerLink (Online service) $3 273601
711 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 229. $3 547963
856 4 0 $u https://doi.org/10.1007/978-981-96-8912-5
950 $a Artificial Intelligence (R0) (SpringerNature-85269)