no code implementations • SemEval (NAACL) 2022 • Nikhil Singh
This paper describes the 9th place system description for SemEval-2022 Task 7.
no code implementations • In2Writing (ACL) 2022 • Nikhil Singh, Guillermo Bernal, Daria Savchenko, Elena Glassman
While developing a story, novices and published writers alike have had to look outside themselves for inspiration.
no code implementations • SemEval (NAACL) 2022 • Nikhil Singh
This paper presents the 10th and 11th place system for Subtask A -English and Subtask A Arabic respectively of the SemEval 2022 -Task 6.
no code implementations • OSACT (LREC) 2022 • Nikhil Singh
This paper presents the system description by team niksss for the Qur’an QA 2022 Shared Task.
no code implementations • 19 Nov 2023 • Anjali Sharma, Priya Banerjee, Nikhil Singh
This study presents a weakly supervised method for identifying faults in infrared images of substation equipment.
no code implementations • 15 Jun 2023 • Sarah J. Zhang, Samuel Florin, Ariel N. Lee, Eamon Niknafs, Andrei Marginean, Annie Wang, Keith Tyser, Zad Chin, Yann Hicke, Nikhil Singh, Madeleine Udell, Yoon Kim, Tonio Buonassisi, Armando Solar-Lezama, Iddo Drori
We curate a comprehensive dataset of 4, 550 questions and solutions from problem sets, midterm exams, and final exams across all MIT Mathematics and Electrical Engineering and Computer Science (EECS) courses required for obtaining a degree.
no code implementations • 12 Apr 2023 • Nikhil Singh, Chih-Wei Wu, Iroro Orife, Mahdi Kalayeh
We additionally compare this approach to a strong baseline where we remove speech before pretraining, and find that dub-augmented training is more effective, including for paralinguistic and audiovisual tasks where speech removal leads to worse performance.
1 code implementation • 15 Nov 2022 • Ayush Maheshwari, Nikhil Singh, Amrith Krishna, Ganesh Ramakrishnan
Keeping this in mind, we release a multi-domain dataset, from areas as diverse as astronomy, medicine and mathematics, with some of them as old as 18 centuries.
1 code implementation • 17 Jun 2022 • Nikhil Singh
This paper describes the system description for the HinglishEval challenge at INLG 2022.
no code implementations • 25 Feb 2022 • Matthew Groh, Aruna Sankaranarayanan, Nikhil Singh, Dong Young Kim, Andrew Lippman, Rosalind Picard
Recent advances in technology for hyper-realistic visual and audio effects provoke the concern that deepfake videos of political speeches will soon be indistinguishable from authentic video recordings.
1 code implementation • 31 Dec 2021 • Iddo Drori, Sarah Zhang, Reece Shuttleworth, Leonard Tang, Albert Lu, Elizabeth Ke, Kevin Liu, Linda Chen, Sunny Tran, Newman Cheng, Roman Wang, Nikhil Singh, Taylor L. Patti, Jayson Lynch, Avi Shporer, Nakul Verma, Eugene Wu, Gilbert Strang
We automatically synthesize programs using few-shot learning and OpenAI's Codex transformer and execute them to solve course problems at 81% automatic accuracy.
no code implementations • 16 Nov 2021 • Leonard Tang, Elizabeth Ke, Nikhil Singh, Nakul Verma, Iddo Drori
Our work is the first to introduce a new dataset of university-level probability and statistics problems and solve these problems in a scalable fashion using the program synthesis capabilities of large language models.
no code implementations • 19 Aug 2021 • Kyle Lennon, Katharina Fransen, Alexander O'Brien, Yumeng Cao, Matthew Beveridge, Yamin Arefeen, Nikhil Singh, Iddo Drori
In order to demonstrate the broad applicability of our system, we generate step-by-step building instructions and animations for LEGO models of objects and human faces.
1 code implementation • 2 Jul 2021 • Sunny Tran, Pranav Krishna, Ishan Pakuwal, Prabhakar Kafle, Nikhil Singh, Jayson Lynch, Iddo Drori
Our system demonstrates an overall accuracy of 96% for open-response questions and 97% for multiple-choice questions, compared with MIT students' average of 93%, achieving grade A performance in the course, all in real-time.
no code implementations • 25 Jun 2021 • Nikhil Singh, Brandon Kates, Jeff Mentch, Anant Kharkar, Madeleine Udell, Iddo Drori
This work improves the quality of automated machine learning (AutoML) systems by using dataset and function descriptions while significantly decreasing computation time from minutes to milliseconds by using a zero-shot approach.
1 code implementation • ICCV 2021 • Nikhil Singh, Jeff Mentch, Jerry Ng, Matthew Beveridge, Iddo Drori
Measuring the acoustic characteristics of a space is often done by capturing its impulse response (IR), a representation of how a full-range stimulus sound excites it.
no code implementations • 14 May 2015 • Yi Hong, Nikhil Singh, Roland Kwitt, Nuno Vasconcelos, Marc Niethammer
We then specialize this idea to the Grassmann manifold and demonstrate that it yields a simple, extensible and easy-to-implement solution to the parametric regression problem.