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20192026
most citedFighting an Infodemic: COVID-19 Fake News Dataset

273 citations · 329 across the 34 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024

LLMsAgainstHate @ NLU of Devanagari Script Languages 2025: Hate Speech Detection and Target Identification in Devanagari Languages via Parameter Efficient Fine-Tuning of LLMs

Rushendra Sidibomma, Pransh Patwa, Parth Patwa +3

The detection of hate speech has become increasingly important in combating online hostility and its real-world consequences. Despite recent advancements, there is limited research…

cs.CL2024

Overview of Factify5WQA: Fact Verification through 5W Question-Answering

Suryavardan Suresh, Anku Rani, Parth Patwa +6

Researchers have found that fake news spreads much times faster than real news. This is a major problem, especially in today's world where social media is the key source of news fo…

cs.CL2024★ 2 cited

Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs

Ronit Singhal, Pransh Patwa, Parth Patwa +2

Given the widespread dissemination of misinformation on social media, implementing fact-checking mechanisms for online claims is essential. Manually verifying every claim is very c…

cs.CL2024★ 1 cited

Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation

Kartik Kartik, Sanjana Soni, Anoop Kunchukuttan +2

The widespread online communication in a modern multilingual world has provided opportunities to blend more than one language (aka code-mixed language) in a single utterance. This…

cs.CL2024★ 1 cited

Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data

Parth Patwa, Simone Filice, Zhiyu Chen +3

Large Language Models (LLMs) operating in 0-shot or few-shot settings achieve competitive results in Text Classification tasks. In-Context Learning (ICL) typically achieves better…