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A Survey of Multimodel Large Language Models
Z Liang, Y Xu, Y Hong, P Shang, Q Wang… - Proceedings of the 3rd …, 2024 - dl.acm.org
With the widespread application of the Transformer architecture in various modalities,
including vision, the technology of large language models is evolving from a single modality …
including vision, the technology of large language models is evolving from a single modality …
A survey on hallucination in large vision-language models
Recent development of Large Vision-Language Models (LVLMs) has attracted growing
attention within the AI landscape for its practical implementation potential. However,`` …
attention within the AI landscape for its practical implementation potential. However,`` …
A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions
The emergence of large language models (LLMs) has marked a significant breakthrough in
natural language processing (NLP), fueling a paradigm shift in information acquisition …
natural language processing (NLP), fueling a paradigm shift in information acquisition …
Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback
Abstract Multimodal Large Language Models (MLLMs) have recently demonstrated
impressive capabilities in multimodal understanding reasoning and interaction. However …
impressive capabilities in multimodal understanding reasoning and interaction. However …
Mitigating object hallucinations in large vision-language models through visual contrastive decoding
Abstract Large Vision-Language Models (LVLMs) have advanced considerably intertwining
visual recognition and language understanding to generate content that is not only coherent …
visual recognition and language understanding to generate content that is not only coherent …
Hallusionbench: an advanced diagnostic suite for entangled language hallucination and visual illusion in large vision-language models
We introduce" HallusionBench" a comprehensive benchmark designed for the evaluation of
image-context reasoning. This benchmark presents significant challenges to advanced large …
image-context reasoning. This benchmark presents significant challenges to advanced large …
Opera: Alleviating hallucination in multi-modal large language models via over-trust penalty and retrospection-allocation
Hallucination posed as a pervasive challenge of multi-modal large language models
(MLLMs) has significantly impeded their real-world usage that demands precise judgment …
(MLLMs) has significantly impeded their real-world usage that demands precise judgment …
Internlm-xcomposer2: Mastering free-form text-image composition and comprehension in vision-language large model
We introduce InternLM-XComposer2, a cutting-edge vision-language model excelling in free-
form text-image composition and comprehension. This model goes beyond conventional …
form text-image composition and comprehension. This model goes beyond conventional …
Hallucination of multimodal large language models: A survey
This survey presents a comprehensive analysis of the phenomenon of hallucination in
multimodal large language models (MLLMs), also known as Large Vision-Language Models …
multimodal large language models (MLLMs), also known as Large Vision-Language Models …
Hallucidoctor: Mitigating hallucinatory toxicity in visual instruction data
Abstract Multi-modal Large Language Models (MLLMs) tuned on machine-generated
instruction-following data have demonstrated remarkable performance in various multimodal …
instruction-following data have demonstrated remarkable performance in various multimodal …