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Found 3 papers, 1 papers with code
Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing
On the other hand, we design a constrained contrastive strategy on the hierarchical structure to directly model the type differences, which can simultaneously perceive the distinguishability between types at different granularity.
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding
However, in most of the public visual question answering datasets such as VQA, CLEVR, the questions are human generated that specific to the given image, such as `What color are her eyes?'.
Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models
Large-scale pre-trained language models have achieved great success on natural language generation tasks.
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