Latest AI and machine learning research in schizophrenia for healthcare professionals.
Multimodal hallucination in multimodal large language models (MLLMs) restricts the correctness of ...
Visual hallucinations in Large Language Models (LLMs), where the model generates responses that ar...
Retrieval-augmented generation (RAG) mitigates the hallucination problem in large language models ...
Domain-specific instruction-tuning has become the defacto standard for improving the performance o...
Large vision-language models (LVLMs) achieve impressive performance on multimodal tasks but often ...
Protein binder design has been transformed by hallucination-based methods that optimize structure ...
Long-form question answering (LFQA) presents unique challenges for large language models, requirin...
Real-world objects are composed of distinctive, object-specific parts. Identifying these parts is ...
Despite significant advancements in Large Vision-Language Models, Object Hallucination (OH) remain...
Long-horizon video-audio reasoning and fine-grained pixel understanding impose conflicting require...
Large Vision-Language Models (VLMs) have achieved remarkable success in understanding complex real...
Large Vision-Language Models (LVLMs) are susceptible to hallucinations, where generated responses ...
The emergence of large language models (LLMs) enables the development of intelligent agents capabl...
Large Vision-Language Models (LVLMs) with discrete image tokenizers unify multimodal representatio...
While Large Language Models (LLMs) can generate fluent and convincing responses, they are not nece...
Test-time compute has empowered multimodal large language models to generate extended reasoning ch...
Aperiodic neural activity has been the subject of intense research interest lately as it could ref...
Aperiodic neural activity has been the subject of intense research interest lately as it could ref...
Recent advancements in Large Vision-Language Models (LVLMs) have significantly expanded their util...
Recent advancements in multimodal large language models (MLLMs) have significantly improved perfor...
Despite their remarkable progress in multimodal understanding tasks, large vision language models ...