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20232026
most citedThe Troubling Emergence of Hallucination in Large Language Models -- An Extensive Definition, Quantification, and Prescriptive Remediations

11 citations · 31 across the 30 of their papers we have counts for

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13 papers · 1 filter

cs.CL2023

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

Anku Rani, Dwip Dalal, Shreya Gautam +5

Deception is the intentional practice of twisting information. It is a nuanced societal practice deeply intertwined with human societal evolution, characterized by a multitude of f…

cs.CL2023

Counter Turing Test CT^2: AI-Generated Text Detection is Not as Easy as You May Think -- Introducing AI Detectability Index

Megha Chakraborty, S. M Towhidul Islam Tonmoy, S M Mehedi Zaman +9

With the rise of prolific ChatGPT, the risk and consequences of AI-generated text has increased alarmingly. To address the inevitable question of ownership attribution for AI-gener…

cs.AI2023★ 11 cited

The Troubling Emergence of Hallucination in Large Language Models -- An Extensive Definition, Quantification, and Prescriptive Remediations

Vipula Rawte, Swagata Chakraborty, Agnibh Pathak +5

The recent advancements in Large Language Models (LLMs) have garnered widespread acclaim for their remarkable emerging capabilities. However, the issue of hallucination has paralle…

cs.CL2023

On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models

Thilini Wijesiriwardene, Ruwan Wickramarachchi, Aishwarya Naresh Reganti +4

The ability of Large Language Models (LLMs) to encode syntactic and semantic structures of language is well examined in NLP. Additionally, analogy identification, in the form of wo…

cs.AI2023

Why Do We Need Neuro-symbolic AI to Model Pragmatic Analogies?

Thilini Wijesiriwardene, Amit Sheth, Valerie L. Shalin +1

A hallmark of intelligence is the ability to use a familiar domain to make inferences about a less familiar domain, known as analogical reasoning. In this article, we delve into th…

cs.LG2023

RESTORE: Graph Embedding Assessment Through Reconstruction

Hong Yung Yip, Chidaksh Ravuru, Neelabha Banerjee +4

Following the success of Word2Vec embeddings, graph embeddings (GEs) have gained substantial traction. GEs are commonly generated and evaluated extrinsically on downstream applicat…

cs.CL2023★ 6 cited

Findings of Factify 2: Multimodal Fake News Detection

S Suryavardan, Shreyash Mishra, Megha Chakraborty +9

With social media usage growing exponentially in the past few years, fake news has also become extremely prevalent. The detrimental impact of fake news emphasizes the need for rese…

cs.CL2023★ 1 cited

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

Megha Chakraborty, Khushbu Pahwa, Anku Rani +15

Combating disinformation is one of the burning societal crises -- about 67% of the American population believes that disinformation produces a lot of uncertainty, and 10% of them k…

cs.CL2023

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

Anku Rani, S. M Towhidul Islam Tonmoy, Dwip Dalal +5

Automatic fact verification has received significant attention recently. Contemporary automatic fact-checking systems focus on estimating truthfulness using numerical scores which…

cs.CL2023★ 1 cited

ANALOGICAL -- A Novel Benchmark for Long Text Analogy Evaluation in Large Language Models

Thilini Wijesiriwardene, Ruwan Wickramarachchi, Bimal G. Gajera +6

Over the past decade, analogies, in the form of word-level analogies, have played a significant role as an intrinsic measure of evaluating the quality of word embedding methods suc…

cs.CL2023

IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of Images

Varuna Krishna, S Suryavardan, Shreyash Mishra +6

Word embeddings, i.e., semantically meaningful vector representation of words, are largely influenced by the distributional hypothesis "You shall know a word by the company it keep…

cs.CL2023★ 3 cited

Factify 2: A Multimodal Fake News and Satire News Dataset

S Suryavardan, Shreyash Mishra, Parth Patwa +9

The internet gives the world an open platform to express their views and share their stories. While this is very valuable, it makes fake news one of our society's most pressing pro…

cs.CL2023★ 5 cited

Memotion 3: Dataset on Sentiment and Emotion Analysis of Codemixed Hindi-English Memes

Shreyash Mishra, S Suryavardan, Parth Patwa +9

Memes are the new-age conveyance mechanism for humor on social media sites. Memes often include an image and some text. Memes can be used to promote disinformation or hatred, thus…