What if the tv was off? examining counterfactual reasoning abilities of multi-modal language models
Counterfactual reasoning a fundamental aspect of human cognition involves contemplating
alternatives to established facts or past events significantly enhancing our abilities in …
alternatives to established facts or past events significantly enhancing our abilities in …
Tuning LayerNorm in Attention: Towards efficient multi-modal llm finetuning
This paper introduces an efficient strategy to transform Large Language Models (LLMs) into
Multi-Modal Large Language Models (MLLMs). By conceptualizing this transformation as a …
Multi-Modal Large Language Models (MLLMs). By conceptualizing this transformation as a …
Sight beyond text: Multi-modal training enhances llms in truthfulness and ethics
Multi-modal large language models (MLLMs) are trained based on large language models
(LLM), with an enhanced capability to comprehend multi-modal inputs and generate textual …
(LLM), with an enhanced capability to comprehend multi-modal inputs and generate textual …
Unsupervised camouflaged object segmentation as domain adaptation
Y Zhang, C Wu - Proceedings of the IEEE/CVF International …, 2023 - openaccess.thecvf.com
Deep learning for unsupervised image segmentation remains challenging due to the
absence of human labels. The common idea is to train a segmentation head, with the …
absence of human labels. The common idea is to train a segmentation head, with the …