no code implementations • EMNLP 2020 • Hrituraj Singh, Sumit Shekhar
Chart Question Answering (CQA) is the task of answering natural language questions about visualisations in the chart image.
no code implementations • 23 Apr 2024 • Shashi Kant Gupta, Aditya Basu, Mauro Nievas, Jerrin Thomas, Nathan Wolfrath, Adhitya Ramamurthi, Bradley Taylor, Anai N. Kothari, Regina Schwind, Therica M. Miller, Sorena Nadaf-Rahrov, Yanshan Wang, Hrituraj Singh
Clinical trial matching is the task of identifying trials for which patients may be potentially eligible.
no code implementations • 10 Apr 2024 • Shashi Kant Gupta, Aditya Basu, Bradley Taylor, Anai Kothari, Hrituraj Singh
Retrieving information from EHR systems is essential for answering specific questions about patient journeys and improving the delivery of clinical care.
no code implementations • 15 Dec 2023 • Mauro Nievas, Aditya Basu, Yanshan Wang, Hrituraj Singh
To address these issues, this study presents the first systematic examination of the efficacy of both proprietary (GPT-3. 5, and GPT-4) and open-source LLMs (LLAMA 7B, 13B, and 70B) for the task of patient-trial matching.
no code implementations • ICCV 2021 • Bholeshwar Khurana, Soumya Ranjan Dash, Abhishek Bhatia, Aniruddha Mahapatra, Hrituraj Singh, Kuldeep Kulkarni
The, thus, obtained segmentation map is fed into a network to compute the extrapolated semantic segmentation and the corresponding panoptic segmentation maps.
no code implementations • NAACL 2021 • Hrituraj Singh, Anshul Nasery, Denil Mehta, Aishwarya Agarwal, Jatin Lamba, Balaji Vasan Srinivasan
In this paper, we propose a novel task - MIMOQA - Multimodal Input Multimodal Output Question Answering in which the output is also multimodal.
no code implementations • EACL 2021 • Hrituraj Singh, Gaurav Verma, Aparna Garimella, Balaji Vasan Srinivasan
In this paper, we propose a Director-Generator framework to rewrite content in the target author's style, specifically focusing on certain target attributes.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Hrituraj Singh, Gaurav Verma, Balaji Vasan Srinivasan
While recent advances in language modeling have resulted in powerful generation models, their generation style remains implicitly dependent on the training data and can not emulate a specific target style.
no code implementations • 16 Feb 2020 • Hrituraj Singh, Milan Aggrawal, Balaji Krishnamurthy
We model FOL parsing as a sequence to sequence mapping task where given a natural language sentence, it is encoded into an intermediate representation using an LSTM followed by a decoder which sequentially generates the predicates in the corresponding FOL formula.
no code implementations • 18 Dec 2019 • Kushal Chawla, Hrituraj Singh, Arijit Pramanik, Mithlesh Kumar, Balaji Vasan Srinivasan
Recently, research efforts have gained pace to cater to varied user preferences while generating text summaries.