2 citations · 3 across the 3 of their papers we have counts for
8 papers · 1 filter
ToxiREX: A Dataset on Toxic REasoning in ConteXt
Stefan F. Schouten, Ilia Markov, Piek Vossen
We introduce a new, contextual, multilingual dataset called ToxiREX: Toxic REasoning in ConteXt. The dataset consists of threads of Reddit comments and structured characterizations…
Truth-value judgment in language models: 'truth directions' are context sensitive
Stefan F. Schouten, Peter Bloem, Ilia Markov +1
Recent work has demonstrated that the latent spaces of large language models (LLMs) contain directions predictive of the truth of sentences. Multiple methods recover such direction…
Assessing and Refining ChatGPT's Performance in Identifying Targeting and Inappropriate Language: A Comparative Study
Barbarestani Baran, Maks Isa, Vossen Piek
This study evaluates the effectiveness of ChatGPT, an advanced AI model for natural language processing, in identifying targeting and inappropriate language in online comments. Wit…
Understanding and Analyzing Inappropriately Targeting Language in Online Discourse: A Comparative Annotation Study
Baran Barbarestani, Isa Maks, Piek Vossen
This paper introduces a method for detecting inappropriately targeting language in online conversations by integrating crowd and expert annotations with ChatGPT. We focus on Englis…
Extracting triples from dialogues for conversational social agents
Piek Vossen, Selene Báez SantamarÃa, Lenka BajÄetiÄ +1
Obtaining an explicit understanding of communication within a Hybrid Intelligence collaboration is essential to create controllable and transparent agents. In this paper, we descri…
Grounding Toxicity in Real-World Events across Languages
Wondimagegnhue Tsegaye Tufa, Ilia Markov, Piek Vossen
Social media conversations frequently suffer from toxicity, creating significant issues for users, moderators, and entire communities. Events in the real world, like elections or c…