multimodal large language models

Fill the GAP: A Granular Alignment Paradigm for Visual Reasoning in Multimodal Large Language Models
Visual latent reasoning lets a multimodal large language model (MLLM) create intermediate visual evidence as continuous tokens, …
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Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression
Humans can retain old knowledge while learning new information, but Large Language Models (LLMs) often suffer from catastrophic …
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