AI for Research and Scalable, Efficient Systems

.- 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.