Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New…
Category-Theoretical and Topos-Theoretical Frameworks in Machine Learning: A Surveyby Yiyang Jia, Guohong Peng, Zheng Yang,…
CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papersby Ekaterina Trofimova, Emil Sataev,…
SLM Meets LLM: Balancing Latency, Interpretability and Consistency in Hallucination Detectionby Mengya Hu, Rui Xu,…
LLMs are not Zero-Shot Reasoners for Biomedical Information Extractionby Aishik Nagar, Viktor Schlegel, Thanh-Tung Nguyen,…
Explainable Anomaly Detection: Counterfactual driven What-If Analysisby Logan Cummins, Alexander Sommers, Sudip Mittal, Shahram Rahimi,…
Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Designby…
Reading with Intentby Benjamin Reichman, Kartik Talamadupula, Toshish Jawale, Larry HeckFirst submitted to arxiv on:…