Program-Aided Reasoners (better) Know What They Know

1 code implementation • 16 Nov 2023 • Anubha Kabra, Sanketh Rangreji, Yash Mathur, Aman Madaan, Emmy Liu, Graham Neubig

Our analysis uncovers that prompting styles that produce lesser diversity in generations also have more calibrated results, and thus we also experiment with inducing lower generation diversity using temperature scaling and find that for certain temperatures, PAL is not only more accurate but is also more calibrated than COT.

SummQA at MEDIQA-Chat 2023:In-Context Learning with GPT-4 for Medical Summarization

1 code implementation • 30 Jun 2023 • Yash Mathur, Sanketh Rangreji, Raghav Kapoor, Medha Palavalli, Amanda Bertsch, Matthew R. Gormley

For full-note summarization (Task B), we use a similar solution with k=1.

In-Context Learning

Digital Image Forensics using Deep Learning

1 code implementation • 14 Oct 2022 • Akash Nagaraj, Mukund Sood, Vivek Kapoor, Yash Mathur, Bishesh Sinha

During the investigation of criminal activity when evidence is available, the issue at hand is determining the credibility of the video and ascertaining that the video is real.

Image Forensics

COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms

no code implementations • 21 Dec 2020 • Rohan Sukumaran, Parth Patwa, T V Sethuraman, Sheshank Shankar, Rishank Kanaparti, Joseph Bae, Yash Mathur, Abhishek Singh, Ayush Chopra, Myungsun Kang, Priya Ramaswamy, Ramesh Raskar

In this study, we understand trends in the spread of COVID-19 by utilizing the results of self-reported COVID-19 symptoms surveys as an alternative to COVID-19 testing reports.

Time Series Forecasting