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Anthony Tiong

2 accepted papers

2024

What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases

NAACL 2024long

Vision-language (VL) models, pretrained on colossal image-text datasets, have attained broad VL competence that is difficult to evaluate. A common belief is that a small number of VL skills underlie the variety of VL tests. In this paper, we perform a large-scale transfer learning experiment aimed a…

2023

InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

NeurIPS 2023poster

Large-scale pre-training and instruction tuning have been successful at creating general-purpose language models with broad competence. However, building general-purpose vision-language models is challenging due to the rich input distributions and task diversity resulting from the additional visual…