Attending to Multimodal Generation One Token at a Time
Multimodal large language models exhibit distinct attention patterns during generation, with attention to visual and textual modalities shifting based on semantic requirements, and…
Hugging Face · Daily Papers
·Varun Gupta, Vineet Gandhi
·
·▲ 6 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Varun Gupta, Vineet Gandhi, Makarand Tapaswi
- 6 upvotes da comunidade
- Temas: multimodal large language models, autoregressive generation, attention shifts, semantic role, causal attention blocking, cross-modal leakage
Resumo
Resumo original (em inglês), extraído do paper:
Multimodal large language models exhibit distinct attention patterns during generation, with attention to visual and textual modalities shifting based on semantic requirements, and these patterns can be leveraged to improve task performance through targeted interventions.Onde ler
// relacionados
Leia também
Editorial
GPT-Live-1: a OpenAI aposenta o walkie-talkie e faz a voz ouvir e falar ao mesmo tempo
Editorial
LingBot-VLA 2.0: a Ant abre um "cérebro" de 6B treinado em 60 mil horas de robôs reais
Editorial
UniClawBench: no mundo real, nenhum agente de IA passa da metade das tarefas
Blog