Search Results for author: Parth Mehta

Found 10 papers, 0 papers with code

Fighting Fire with Fire: Adversarial Prompting to Generate a Misinformation Detection Dataset

no code implementations9 Jan 2024 Shrey Satapara, Parth Mehta, Debasis Ganguly, Sandip Modha

The recent success in language generation capabilities of large language models (LLMs), such as GPT, Bard, Llama etc., can potentially lead to concerns about their possible misuse in inducing mass agitation and communal hatred via generating fake news and spreading misinformation.

Misinformation Text Generation

Robust Direction-of-Arrival Estimation using Array Feedback Beamforming in Low SNR Scenarios

no code implementations16 Mar 2023 Parth Mehta, Kumar Appaiah, Rajbabu Velmurugan

We then incorporate a retransmission based minimum variance distortionless response (MVDR) beamformer with the feedback beamforming setup.

Direction of Arrival Estimation

Lattice All-Pass Filter based Precoder Adaptation for MIMO Wireless Channels

no code implementations22 Feb 2023 Parth Mehta, Agulla Surya Bharath, Kumar Appaiah, Rajbabu Velmurugan, Debasattam Pal

Modern 5G communication systems employ multiple-input multiple-output (MIMO) in conjunction with orthogonal frequency division multiplexing (OFDM) to enhance data rates, particularly for wideband millimetre wave (mmW) applications.

LawSum: A weakly supervised approach for Indian Legal Document Summarization

no code implementations4 Oct 2021 Vedant Parikh, Vidit Mathur, Parth Mehta, Namita Mittal, Prasenjit Majumder

Some possible applications of this dataset besides legal document summarization can be in retrieval, citation analysis and prediction of decisions by a particular judge.

Document Summarization Retrieval +1

When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making

no code implementations12 Nov 2020 Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage, Himabindu Lakkaraju

As machine learning (ML) models are increasingly being employed to assist human decision makers, it becomes critical to provide these decision makers with relevant inputs which can help them decide if and how to incorporate model predictions into their decision making.

Decision Making

Exploiting local and global performance of candidate systems for aggregation of summarization techniques

no code implementations7 Sep 2018 Parth Mehta, Prasenjit Majumder

With an ever growing number of extractive summarization techniques being proposed, there is less clarity then ever about how good each system is compared to the rest.

Extractive Summarization

Attention based Sentence Extraction from Scientific Articles using Pseudo-Labeled data

no code implementations13 Feb 2018 Parth Mehta, Gaurav Arora, Prasenjit Majumder

We propose a new attention based deep learning architecture that jointly learns to identify important content, as well as the cue phrases that are indicative of summary worthy sentences.

Sentence Topic Models

Content based Weighted Consensus Summarization

no code implementations3 Feb 2018 Parth Mehta, Prasenjit Majumder

In this paper, we describe a category of ensemble systems which use consensus between the candidate systems to build a better meta-summary.

Document Summarization Multi-Document Summarization +1

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