Temporal/Casual QA
4 papers with code • 1 benchmarks • 2 datasets
NExT-QA
TimeQA
Most implemented papers
Flamingo: a Visual Language Model for Few-Shot Learning
mlfoundations/open_flamingo
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DeepMind 2022
Building models that can be rapidly adapted to novel tasks using only a handful of annotated examples is an open challenge for multimodal machine learning research.
PaLI-X: On Scaling up a Multilingual Vision and Language Model
kyegomez/PALI
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We present the training recipe and results of scaling up PaLI-X, a multilingual vision and language model, both in terms of size of the components and the breadth of its training task mixture.
Generative Pretraining in Multimodality
baaivision/emu
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We present Emu, a Transformer-based multimodal foundation model, which can seamlessly generate images and texts in multimodal context.
PaLI-3 Vision Language Models: Smaller, Faster, Stronger
kyegomez/PALI3
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This paper presents PaLI-3, a smaller, faster, and stronger vision language model (VLM) that compares favorably to similar models that are 10x larger.
