Paper-Conference

Large Language Models (LLMs) are increasingly used to generate synthetic textual data for training smaller specialized models. However, …

Common ground plays a crucial role in human communication since it helps to establish shared knowledge. However, common ground is also …

In our era of widespread false information, human fact-checkers often face the challenge of duplicating efforts when verifying claims …

Conversational explainable artificial intelligence (ConvXAI) systems based on large language models (LLMs) have garnered considerable …

Large Language Models are increasingly used in applications requiring objective assessment, which could be compromised by political …

The rapid spread of misinformation on social media across languages presents a major challenge for fact-checking efforts. Social media …

Fact verification has emerged as a critical task in combating misinformation, yet most research remains focused on English-language …

The rapid spread of multilingual misinformation requires robust automated fact verification systems capable of handling fine-grained …

Most state-of-the-art large language models (LLMs) are trained mainly on English data, limiting their effectiveness on non-English, …

In this work, we reimagine classical probing to evaluate knowledge transfer from simple source to more complex target tasks. Instead of …