Combating misinformation in the age of llms: Opportunities and challenges
Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …
and public trust. The emergence of large language models (LLMs) has great potential to …
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark
There is a lack of research into capabilities of recent LLMs to generate convincing text in
languages other than English and into performance of detectors of machine-generated text …
languages other than English and into performance of detectors of machine-generated text …
Gpt-who: An information density-based machine-generated text detector
The Uniform Information Density principle posits that humans prefer to spread information
evenly during language production. In this work, we examine if the UID principle can help …
evenly during language production. In this work, we examine if the UID principle can help …
HANSEN: human and AI spoken text benchmark for authorship analysis
Authorship Analysis, also known as stylometry, has been an essential aspect of Natural
Language Processing (NLP) for a long time. Likewise, the recent advancement of Large …
Language Processing (NLP) for a long time. Likewise, the recent advancement of Large …
Does human collaboration enhance the accuracy of identifying llm-generated deepfake texts?
Abstract Advances in Large Language Models (eg, GPT-4, LLaMA) have improved the
generation of coherent sentences resembling human writing on a large scale, resulting in …
generation of coherent sentences resembling human writing on a large scale, resulting in …
Who wrote it and why? prompting large-language models for authorship verification
Authorship verification (AV) is a fundamental task in natural language processing (NLP) and
computational linguistics, with applications in forensic analysis, plagiarism detection, and …
computational linguistics, with applications in forensic analysis, plagiarism detection, and …
Algorithmic ghost in the research shell: Large language models and academic knowledge creation in management research
The paper looks at the role of large language models in academic knowledge creation
based on a scoping review (2018 to January 2023) of how researchers have previously …
based on a scoping review (2018 to January 2023) of how researchers have previously …
A survey of ai-generated text forensic systems: Detection, attribution, and characterization
We have witnessed lately a rapid proliferation of advanced Large Language Models (LLMs)
capable of generating high-quality text. While these LLMs have revolutionized text …
capable of generating high-quality text. While these LLMs have revolutionized text …
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection
We present the results and the main findings of SemEval-2024 Task 8: Multigenerator,
Multidomain, and Multilingual Machine-Generated Text Detection. The task featured three …
Multidomain, and Multilingual Machine-Generated Text Detection. The task featured three …
Stacking the odds: Transformer-based ensemble for ai-generated text detection
This paper reports our submission under the team nameSynthDetectives' to the ALTA 2023
Shared Task. We use a stacking ensemble of Transformers for the task of AI-generated text …
Shared Task. We use a stacking ensemble of Transformers for the task of AI-generated text …