1 citations · 1 across the 8 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
THESIS-MoE: Trainable Hierarchical Extraction and SteerIng of Sycophancy in Mixture-of-Experts
Kareem Hassani, Chaymaa Abbas, Lama Mawlawi +1
Sycophancy, the tendency of a language model to change its answer to match a user's stated belief, is a common alignment failure. Existing activation steering methods typically app…
cs.AI2026
ChartComplete: A Taxonomy-based Inclusive Chart Dataset
Ahmad Mustapha, Charbel Toumieh, Mariette Awad
With advancements in deep learning (DL) and computer vision techniques, the field of chart understanding is evolving rapidly. In particular, multimodal large language models (MLLMs…