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20112024
most citedA Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

123 citations · 333 across the 36 of their papers we have counts for

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Showing 2023 · cs.CLShow all

13 papers · 2 filters

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.CL2023

CONFLATOR: Incorporating Switching Point based Rotatory Positional Encodings for Code-Mixed Language Modeling

Mohsin Ali, Kandukuri Sai Teja, Neeharika Gupta +5

The mixing of two or more languages is called Code-Mixing (CM). CM is a social norm in multilingual societies. Neural Language Models (NLMs) like transformers have been effective o…

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.CL2023★ 3 cited

Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes

Shreyash Mishra, S Suryavardan, Megha Chakraborty +9

Analyzing memes on the internet has emerged as a crucial endeavor due to the impact this multi-modal form of content wields in shaping online discourse. Memes have become a powerfu…

cs.CL2023★ 1 cited

Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges

Vinay Samuel, Houda Aynaou, Arijit Ghosh Chowdhury +2

Large Language Models (LLMs) have demonstrated impressive zero shot performance on a wide range of NLP tasks, demonstrating the ability to reason and apply commonsense. A relevant…