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Found 9 papers, 2 papers with code
EAGLE: A Domain Generalization Framework for AI-generated Text Detection
With the advancement in capabilities of Large Language Models (LLMs), one major step in the responsible and safe use of such LLMs is to be able to detect text generated by these models.
Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection
Large language models (LLMs) excel in many diverse applications beyond language generation, e. g., translation, summarization, and sentiment analysis.
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.
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts
The novel universal evasive prompt is achieved in two steps: First, we create an evasive soft prompt tailored to a specific PLM through prompt tuning; and then, we leverage the transferability of soft prompts to transfer the learned evasive soft prompt from one PLM to another.
Towards LLM-guided Causal Explainability for Black-box Text Classifiers
Inspired by recent endeavors to utilize Large Language Models (LLMs) as experts, in this work, we aim to leverage the instruction-following and textual understanding capabilities of recent state-of-the-art LLMs to facilitate causal explainability via counterfactual explanation generation for black-box text classifiers.
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News
The rapid proliferation of AI-generated text online is profoundly reshaping the information landscape.
Stylometric Detection of AI-Generated Text in Twitter Timelines
However, tweets are inherently short, thus making it difficult for current state-of-the-art pre-trained language model-based detectors to accurately detect at what point the AI starts to generate tweets in a given Twitter timeline.
Impact and dynamics of hate and counter speech online
Citizen-generated counter speech is a promising way to fight hate speech and promote peaceful, non-polarized discourse.
Countering hate on social media: Large scale classification of hate and counter speech
Hateful rhetoric is plaguing online discourse, fostering extreme societal movements and possibly giving rise to real-world violence.
