11 citations · 11 across the 4 of their papers we have counts for
5 papers
From Noisy Retrieval to Decision Evidence: Silver Evidence Demonstrations for In-Context Learning
Masoud Monajatipoor, Fazlolah Mohaghegh, Hamid Reza Hassanzadeh +2
RAG and retrieval-augmented few-shot ICL can struggle when decision-relevant evidence is buried in long, noisy context. Retrieved passages and demonstrations may contain redundant…
Generative Active Testing: Efficient LLM Evaluation via Proxy Task Adaptation
Aashish Anantha Ramakrishnan, Ardavan Saeedi, Hamid Reza Hassanzadeh +2
With the widespread adoption of pre-trained Large Language Models (LLM), there exists a high demand for task-specific test sets to benchmark their performance in domains such as he…
LLMs in Biomedicine: A study on clinical Named Entity Recognition
Masoud Monajatipoor, Jiaxin Yang, Joel Stremmel +4
Large Language Models (LLMs) demonstrate remarkable versatility in various NLP tasks but encounter distinct challenges in biomedical due to the complexities of language and data sc…
Machine Learning and Computer Vision Techniques to Predict Thermal Properties of Particulate Composites
Fazlolah Mohaghegh, Jayathi Murthy
Accurate thermal analysis of composites and porous media requires detailed characterization of local thermal properties in small scale. For some important applications such as lith…
Rapid Phase-Resolved Prediction of Nonlinear Dispersive Waves Using Machine Learning
Fazlolah Mohaghegh, Mohammad-Reza Alam, Jayathi Murthy
In this paper, we show that a revised convolutional recurrent neural network (CRNN) can decrease, by orders of magnitude, the time needed for the phase-resolved prediction of waves…