2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Ask-E: An Environment for Calibrated Question Generation
Sarah Pratt, Jae Sung Park, Scott Geng +1
Today, we improve models by training and evaluating them on problems at the frontier of their abilities. Creating such problems is itself a demanding task, requiring the ability to…
cs.CV2024
BLIP3-KALE: Knowledge Augmented Large-Scale Dense Captions
Anas Awadalla, Le Xue, Manli Shu +13
We introduce BLIP3-KALE, a dataset of 218 million image-text pairs that bridges the gap between descriptive synthetic captions and factual web-scale alt-text. KALE augments synthet…
cs.AI2024★ 2 cited
Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness
Khyathi Raghavi Chandu, Linjie Li, Anas Awadalla +5
The ability to acknowledge the inevitable uncertainty in their knowledge and reasoning is a prerequisite for AI systems to be truly truthful and reliable. In this paper, we present…