1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2025★ 1 cited
Performance Prediction for Large Systems via Text-to-Text Regression
Yash Akhauri, Bryan Lewandowski, Cheng-Hsi Lin +7
In many industries, predicting metric outcomes of large systems is a fundamental problem, driven largely by traditional tabular regression. However, such methods struggle on comple…
cs.CL2024
Utilizing GPT to Enhance Text Summarization: A Strategy to Minimize Hallucinations
Hassan Shakil, Zeydy Ortiz, Grant C. Forbes
In this research, we uses the DistilBERT model to generate extractive summary and the T5 model to generate abstractive summaries. Also, we generate hybrid summaries by combining bo…
cs.CL2023★ 1 cited
Metric Ensembles For Hallucination Detection
Grant C. Forbes, Parth Katlana, Zeydy Ortiz
Abstractive text summarization has garnered increased interest as of late, in part due to the proliferation of large language models (LLMs). One of the most pressing problems relat…