2 papers
cs.CL2025
Pretrained LLMs Learn Multiple Types of Uncertainty
Roi Cohen, Omri Fahn, Gerard de Melo
Large Language Models are known to capture real-world knowledge, allowing them to excel in many downstream tasks. Despite recent advances, these models are still prone to what are…
cs.CL2025
InFact: Informativeness Alignment for Improved LLM Factuality
Roi Cohen, Russa Biswas, Gerard de Melo
Factual completeness is a general term that captures how detailed and informative a factually correct text is. For instance, the factual sentence ``Barack Obama was born in the Uni…