3 papers
cs.CL2026
Knowledgeless Language Models: Suppressing Parametric Recall for Evidence-Grounded Language Modeling
Roi Cohen, Yvan Carré, Nick Lechtenbörger +5
Language models encode substantial factual knowledge in their parameters, which can lead to unreliable behavior when this knowledge is outdated, incomplete, or misaligned with the…
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…