AI for Research and Scalable, Efficient Systems (eBook)

Second International Workshop, AI4Research 2025, and First International Workshop, SEAS 2025, Held in Conjunction with AAAI 2025, Philadelphia, PA, USA, February 25-March 4, 2025, Proceedings
Artikelnummer: 978-981-9689-12-5
Einband: PDF
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.- 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.

.- 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.

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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2025
Seitenangabe302 S.
AusgabekennzeichenEnglisch
AbbildungenXIV, 302 p. 53 illus., 49 illus. in color.
Masse24'566 KB
PlattformPDF
ReiheCommunications in Computer and Information Science; Artificial Intelligence ; Springer Nature Proceedings excluding Computer Science
AutorWang, Qingyun (Hrsg.) / Yin, Wenpeng (Hrsg.) / Aich, Abhishek (Hrsg.) / Suh, Yumin (Hrsg.) / Peng, Kuan-Chuan (Hrsg.)

Alle Bände der Reihe "Communications in Computer and Information Science; Artificial Intelligence (R0); Springer Nature Proceedings excluding Computer Science"

Weitere Titel von Qingyun (Hrsg.) Wang

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