Search Results for author: Anku Rani

Found 10 papers, 3 papers with code

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

1 code implementation2 Jan 2024 S. M Towhidul Islam Tonmoy, S M Mehedi Zaman, Vinija Jain, Anku Rani, Vipula Rawte, Aman Chadha, Amitava Das

As Large Language Models (LLMs) continue to advance in their ability to write human-like text, a key challenge remains around their tendency to hallucinate generating content that appears factual but is ungrounded.

Hallucination Retrieval +1

SEPSIS: I Can Catch Your Lies -- A New Paradigm for Deception Detection

no code implementations1 Dec 2023 Anku Rani, Dwip Dalal, Shreya Gautam, Pankaj Gupta, Vinija Jain, Aman Chadha, Amit Sheth, Amitava Das

This research explores the problem of deception through the lens of psychology, employing a framework that categorizes deception into three forms: lies of omission, lies of commission, and lies of influence.

Deception Detection Multi-Task Learning

FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering

no code implementations22 May 2023 Megha Chakraborty, Khushbu Pahwa, Anku Rani, Shreyas Chatterjee, Dwip Dalal, Harshit Dave, Ritvik G, Preethi Gurumurthy, Adarsh Mahor, Samahriti Mukherjee, Aditya Pakala, Ishan Paul, Janvita Reddy, Arghya Sarkar, Kinjal Sensharma, Aman Chadha, Amit P. Sheth, Amitava Das

To address this gap, we introduce FACTIFY 3M, a dataset of 3 million samples that pushes the boundaries of the domain of fact verification via a multimodal fake news dataset, in addition to offering explainability through the concept of 5W question-answering.

Fact Verification Question Answering

FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering

no code implementations7 May 2023 Anku Rani, S. M Towhidul Islam Tonmoy, Dwip Dalal, Shreya Gautam, Megha Chakraborty, Aman Chadha, Amit Sheth, Amitava Das

Finally, we report a baseline QA system to automatically locate those answers from evidence documents, which can serve as a baseline for future research in the field.

Fact Checking Fact Verification +3

Factify 2: A Multimodal Fake News and Satire News Dataset

1 code implementation8 Apr 2023 S Suryavardan, Shreyash Mishra, Parth Patwa, Megha Chakraborty, Anku Rani, Aishwarya Reganti, Aman Chadha, Amitava Das, Amit Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar

In this paper, we provide a multi-modal fact-checking dataset called FACTIFY 2, improving Factify 1 by using new data sources and adding satire articles.

Claim Verification Fact Checking +1

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