Freddy Heppell

Orcid: 0009-0003-7241-5846

According to our database1, Freddy Heppell authored at least 20 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
WPextract.
Dataset, January, 2025

2024
WPextract.
Dataset, August, 2024

WPextract.
Dataset, August, 2024






Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification.
Dataset, May, 2024

Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims (Dataset).
Dataset, March, 2024

Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims at Scale.
CoRR, 2024

Multilinguality in the VIGILANT project.
Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2), 2024

2023
Analysing state-backed propaganda websites: a new dataset and linguistic study (complete dataset).
Dataset, October, 2023

Analysing state-backed propaganda websites: a new dataset and linguistic study (software).
Dataset, October, 2023

Analysing state-backed propaganda websites: a new dataset and linguistic study (public dataset).
Dataset, October, 2023

Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification.
CoRR, 2023

A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation.
CoRR, 2023

Team SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification.
CoRR, 2023

SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique Classification.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Analysing State-Backed Propaganda Websites: a New Dataset and Linguistic Study.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023


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