4 papers
Confabulations from ACL Publications (CAP): A Dataset for Scientific Hallucination Detection
Federica Gamba, Aman Sinha, Timothee Mickus +12
We introduce the CAP (Confabulations from ACL Publications) dataset, a multilingual resource for studying hallucinations in large language models (LLMs) within scientific text gene…
HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented Generation
Loris Bergeron, Ioana Buhnila, Jérôme François +1
Large Language Models (LLMs) excel in many NLP tasks but remain prone to hallucinations, limiting trust in real-world applications. We present HalluGuard, a 4B-parameter Small Reas…
Chain-of-MetaWriting: Linguistic and Textual Analysis of How Small Language Models Write Young Students Texts
Ioana Buhnila, Georgeta Cislaru, Amalia Todirascu
Large Language Models (LLMs) have been used to generate texts in response to different writing tasks: reports, essays, story telling. However, language models do not have a meta-re…
Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models
Ioana Buhnila, Aman Sinha, Mathieu Constant
Recent surge in the accessibility of large language models (LLMs) to the general population can lead to untrackable use of such models for medical-related recommendations. Language…