Description
Book Synopsis.- 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.
.-
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.
