no code implementations • LREC 2022 • Ayush Kumar, Dhyey Jani, Jay Shah, Devanshu Thakar, Varun Jain, Mayank Singh
We plan to make the dataset publicly available.
no code implementations • EMNLP (BlackboxNLP) 2021 • Ayush Kumar, Mukuntha Narayanan Sundararaman, Jithendra Vepa
We probe BERT based language models (BERT, RoBERTa) trained on spoken transcripts to investigate its ability to understand multifarious properties in absence of any speech cues.
no code implementations • 24 Apr 2024 • Neha Kumari, Sumit Kumar. Sneha Priya, Ayush Kumar, Akash Fogla
In this research, we focus on the development of a vehicle's lateral control system using a machine learning framework.
no code implementations • 26 Dec 2023 • Varun Nathan, Ayush Kumar, Digvijay Ingle, Jithendra Vepa
Additionally, we compare the performance of OOB-LLMs and CC-LLMs on the widely used SentEval dataset, and assess their capabilities in terms of surface, syntactic, and semantic information through probing tasks.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 24 May 2023 • Aman Priyanshu, Supriti Vijay, Ayush Kumar, Rakshit Naidu, FatemehSadat Mireshghallah
More specifically, we find that when ChatGPT is prompted to summarize cover letters of a 100 candidates, it would retain personally identifiable information (PII) verbatim in 57. 4% of cases, and we find this retention to be non-uniform between different subgroups of people, based on attributes such as gender identity.
no code implementations • 4 Mar 2023 • Sumit Kumar, Harsh Vardhan, Sneha Priya, Ayush Kumar
The latest WHO report showed that the number of malaria cases climbed to 219 million last year, two million higher than last year.
no code implementations • 8 Aug 2022 • Ayush Kumar, Parth Nagarkar, Prabhav Nalhe, Sanjeev Vijayakumar
Even if numerous deep learning-based algorithms are proposed or studied, there still is very challenging to have a generic model to solve the data query issues using natural language in a real-work scenario.
no code implementations • 29 Jul 2022 • Ayush Kumar, Ashish Kumar, Aakanksha Prasad, Michael Burch, Shenghui Cheng, Klaus Mueller
We illustrate the usefulness of our tool by applying it to the eye movements of 216 programmers of multiple expertise levels that were collected during two code comprehension tasks.
no code implementations • 28 Jul 2022 • Aveena Kottwani, Ayush Kumar
We explore techniques for eye gaze estimation using machine learning.
no code implementations • 21 Jun 2022 • Ayush Kumar, Rishabh Kumar Tripathi, Jithendra Vepa
In Weak Supervised Learning (WSL), a model is trained over noisy labels obtained from semantic rules and task-specific pre-trained models.
1 code implementation • 14 Dec 2021 • Ayush Kumar, Vijit Malik, Jithendra Vepa
Our method achieves state-of-the-art results on 1-shot and 5-shot intent detection task with gains ranging from 2-8\% points in F1 score on four benchmark datasets.
no code implementations • 19 Sep 2021 • Ayush Kumar, Mukuntha Narayanan Sundararaman, Jithendra Vepa
We probe BERT based language models (BERT, RoBERTa) trained on spoken transcripts to investigate its ability to understand multifarious properties in absence of any speech cues.
no code implementations • 14 Aug 2021 • Ayush Kumar, Pratik Kumar
Finally, in effort to mitigate bias in toxicity detection models, a multi-task setup trained with auxiliary task of toxicity sub-types proved to be useful leading to upto 0. 26% (6% relative) gain in AUC scores.
no code implementations • 27 Apr 2021 • Abhay M Shalghar, Ayush Kumar, Balaji Ganesan, Aswin Kannan, Akshay Parekh, Shobha G
Ontologies comprising of concepts, their attributes, and relationships are used in many knowledge based AI systems.
1 code implementation • 1 Feb 2021 • Mukuntha Narayanan Sundararaman, Ayush Kumar, Jithendra Vepa
In this work, we propose a BERT-style language model, referred to as PhonemeBERT, that learns a joint language model with phoneme sequence and ASR transcript to learn phonetic-aware representations that are robust to ASR errors.
no code implementations • 22 Oct 2020 • Ayush Kumar, Mrinalini Shridhar, Sahithya Swaminathan, Teng Joon Lim
The detection performance is also shown to be robust to an increase in the number of IoT devices connected to the edge gateway where EDIMA is deployed.
1 code implementation • SEMEVAL 2020 • Ayush Kumar, Harsh Agarwal, Keshav Bansal, Ashutosh Modi
Sentiment Analysis of code-mixed text has diversified applications in opinion mining ranging from tagging user reviews to identifying social or political sentiments of a sub-population.
no code implementations • 21 Feb 2020 • Ayush Kumar, Jithendra Vepa
Multimodal sentiment analysis has recently gained popularity because of its relevance to social media posts, customer service calls and video blogs.
Ranked #4 on Multimodal Sentiment Analysis on MOSI
no code implementations • 29 Jul 2019 • Ayush Kumar, Anjul Tyagi, Michael Burch, Daniel Weiskopf, Klaus Mueller
Yarbus' claim to decode the observer's task from eye movements has received mixed reactions.
no code implementations • 17 Jun 2019 • Ayush Kumar, Teng Joon Lim
A DETERlab-based IoT botnet testbed is presented in this work.
Cryptography and Security Networking and Internet Architecture
no code implementations • COLING 2016 • Md. Shad Akhtar, Ayush Kumar, Asif Ekbal, Pushpak Bhattacharyya
The sentiment augmented optimized vector obtained at the end is used for the training of SVM for sentiment classification.
no code implementations • COLING 2016 • Singh Mayank, Barua Barnopriyo, Palod Priyank, Garg Manvi, Satapathy Sidhartha, Bushi Samuel, Ayush Kumar, Rohith Krishna Sai, Gamidi Tulasi, Goyal Pawan, Mukherjee Animesh
This paper proposes OCR++, an open-source framework designed for a variety of information extraction tasks from scholarly articles including metadata (title, author names, affiliation and e-mail), structure (section headings and body text, table and figure headings, URLs and footnotes) and bibliography (citation instances and references).
no code implementations • SEMEVAL 2016 • Ayush Kumar, Sarah Kohail, Amit Kumar, Asif Ekbal, Chris Biemann
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1