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Found 6 papers, 4 papers with code
Improving Automatic VQA Evaluation Using Large Language Models
Thus, there is a need to develop more robust automatic VQA metrics that serve as a proxy for human judgment.
Pragmatic Inference with a CLIP Listener for Contrastive Captioning
We propose a simple yet effective and robust method for contrastive captioning: generating discriminative captions that distinguish target images from very similar alternative distractor images.
Are Diffusion Models Vision-And-Language Reasoners?
We also measure the stereotypical bias in diffusion models, and find that Stable Diffusion 2. 1 is, for the most part, less biased than Stable Diffusion 1. 5.
Image Retrieval from Contextual Descriptions
In particular, models are tasked with retrieving the correct image from a set of 10 minimally contrastive candidates based on a contextual description.
Ranked #1 on
Image Retrieval
on ImageCoDe
ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation
Recent high scores on pronoun translation using context-aware neural machine translation have suggested that current approaches work well.
Are Pretrained Language Models Symbolic Reasoners Over Knowledge?
How can pretrained language models (PLMs) learn factual knowledge from the training set?
