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cs.LG2024★ 1 cited
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector
Jirayu Burapacheep, Yixuan Li
The ability to detect out-of-distribution (OOD) inputs is critical to guarantee the reliability of classification models deployed in an open environment. A fundamental challenge in…
cs.CV2024
ColorSwap: A Color and Word Order Dataset for Multimodal Evaluation
Jirayu Burapacheep, Ishan Gaur, Agam Bhatia +1
This paper introduces the ColorSwap dataset, designed to assess and improve the proficiency of multimodal models in matching objects with their colors. The dataset is comprised of…
cs.CL2024
ARGS: Alignment as Reward-Guided Search
Maxim Khanov, Jirayu Burapacheep, Yixuan Li
Aligning large language models with human objectives is paramount, yet common approaches including RLHF suffer from unstable and resource-intensive training. In response to this ch…