Cover Image

HateGPT: Unleashing GPT-3.5 Turbo to Combat Hate Speech on X

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Deroy, Aniket, Maity, Subhankar
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom's Revised Taxonomy?
by: Maity, Subhankar, et al.
Published: (2024)

RetrieveGPT: Merging Prompts and Mathematical Models for Enhanced Code-Mixed Information Retrieval
by: Deroy, Aniket, et al.
Published: (2024)

Prompt Engineering Using GPT for Word-Level Code-Mixed Language Identification in Low-Resource Dravidian Languages
by: Deroy, Aniket, et al.
Published: (2024)

CryptoLLM: Unleashing the Power of Prompted LLMs for SmartQnA and Classification of Crypto Posts
by: Deroy, Aniket, et al.
Published: (2024)

A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation using GPT
by: Maity, Subhankar, et al.
Published: (2024)

Code Generation and Algorithmic Problem Solving Using Llama 3.1 405B
by: Deroy, Aniket, et al.
Published: (2024)

Cancer-Answer: Empowering Cancer Care with Advanced Large Language Models
by: Deroy, Aniket, et al.
Published: (2024)

Leveraging Prompt-Tuning for Bengali Grammatical Error Explanation Using Large Language Models
by: Maity, Subhankar, et al.
Published: (2025)

The Future of Learning in the Age of Generative AI: Automated Question Generation and Assessment with Large Language Models
by: Maity, Subhankar, et al.
Published: (2024)

YouTube Comments Decoded: Leveraging LLMs for Low Resource Language Classification
by: Deroy, Aniket, et al.
Published: (2024)

Generative AI and Its Impact on Personalized Intelligent Tutoring Systems
by: Maity, Subhankar, et al.
Published: (2024)

STRIVE: A Think & Improve Approach with Iterative Refinement for Enhancing Question Quality Estimation
by: Deroy, Aniket, et al.
Published: (2025)

How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors?
by: Maity, Subhankar, et al.
Published: (2024)

Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications
by: Maity, Subhankar, et al.
Published: (2024)

Leveraging In-Context Learning and Retrieval-Augmented Generation for Automatic Question Generation in Educational Domains
by: Maity, Subhankar, et al.
Published: (2025)

MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generation
by: Deroy, Aniket, et al.
Published: (2024)

Towards Smarter Hiring: Are Zero-Shot and Few-Shot Pre-trained LLMs Ready for HR Spoken Interview Transcript Analysis?
by: Maity, Subhankar, et al.
Published: (2025)

GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection?
by: Jin, Yiping, et al.
Published: (2024)

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo
by: Wood, Michael C., et al.
Published: (2024)

Human-Centric eXplainable AI in Education
by: Maity, Subhankar, et al.
Published: (2024)

Stronger Together: Unleashing the Social Impact of Hate Speech Research
by: Wong, Sidney
Published: (2025)

Synthesizing the Virtual Advocate: A Multi-Persona Speech Generation Framework for Diverse Linguistic Jurisdictions in Indic Languages
by: Deroy, Aniket
Published: (2026)

HateDebias: On the Diversity and Variability of Hate Speech Debiasing
by: Wu, Hongyan, et al.
Published: (2024)

Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection
by: Kumarage, Tharindu, et al.
Published: (2024)

Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models
by: Nigam, Shubham Kumar, et al.
Published: (2024)

PEACE 2.0: Grounded Explanations and Counter-Speech for Combating Hate Expressions
by: Damo, Greta, et al.
Published: (2026)

Decoding Hate: Exploring Language Models' Reactions to Hate Speech
by: Piot, Paloma, et al.
Published: (2024)

Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models
by: Yuan, Shuzhou, et al.
Published: (2025)

Multilingual Hate Speech Detection and Counterspeech Generation: A Comprehensive Survey and Practical Guide
by: Fesaghandis, Zahra Safdari, et al.
Published: (2026)

"Is Hate Lost in Translation?": Evaluation of Multilingual LGBTQIA+ Hate Speech Detection
by: Chan, Fai Leui, et al.
Published: (2024)

Web(er) of Hate: A Survey on How Hate Speech Is Typed
by: Wang, Luna, et al.
Published: (2025)

WATCHED: A Web AI Agent Tool for Combating Hate Speech by Expanding Data
by: Piot, Paloma, et al.
Published: (2025)

Multi3Hate: Multimodal, Multilingual, and Multicultural Hate Speech Detection with Vision-Language Models
by: Bui, Minh Duc, et al.
Published: (2024)

LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification
by: Yuan, Shuzhou, et al.
Published: (2025)

ADVOSYNTH: A Synthetic Multi-Advocate Dataset for Speaker Identification in Courtroom Scenarios
by: Deroy, Aniket
Published: (2026)

Advancing Hate Speech Detection with Transformers: Insights from the MetaHate
by: Chapagain, Santosh, et al.
Published: (2025)

ChildGuard: A Specialized Dataset for Combatting Child-Targeted Hate Speech
by: Kashyap, Gautam Siddharth, et al.
Published: (2025)

ViHateT5: Enhancing Hate Speech Detection in Vietnamese With A Unified Text-to-Text Transformer Model
by: Nguyen, Luan Thanh
Published: (2024)

NaijaHate: Evaluating Hate Speech Detection on Nigerian Twitter Using Representative Data
by: Tonneau, Manuel, et al.
Published: (2024)

When Hate Meets Facts: LLMs-in-the-Loop for Check-worthiness Detection in Hate Speech
by: Ocampo, Nicolás Benjamín, et al.
Published: (2026)