Current evaluation metrics for machine translation have increasing difficulty in distinguishing good from merely fair translations. We believe the main problem to be their inability to properly ...

It’s a bizarre scourge afflicting editors and writers, casual readers, and pretty much anyone pondering a word for any length of time. Consider the word flower. F-l-o-w-e-r. Flowers. The flower in the ...

Abstract: Semantic segmentation is an essential technique in remote sensing. Until recently, most related research has focused primarily on advancing semantic segmentation models based on monomodal ...

Recent literature uses language to build foundation models for audio. These Audio–Language Models (ALMs) are trained on a vast number of audio–text pairs and show remarkable performance in tasks ...

Abstract: Although semantic communications have exhibited satisfactory performance on a large number of tasks, the impact of semantic noise and the robustness of the systems have not been well ...

We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...

Semantic Router is a superfast decision-making layer for your LLMs and agents. Rather than waiting for slow LLM generations to make tool-use decisions, we use the magic of semantic vector space to ...