UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
Abstract: This paper reports on SOTA results achieved using openAI’s Whisper model with adaptation on different adaptation corpus sizes for two established code-switch Mandarin/English corpus - namely ...
Abstract: Large Vision-Language Models (LVLMs) have shown impressive capabilities across various domains, but existing LVLMs have limited performance in dense perception and structured learning ...