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A survey on potentials, pathways and challenges of large language models in new-generation intelligent manufacturing
C Zhang, Q Xu, Y Yu, G Zhou, K Zeng, F Chang… - Robotics and Computer …, 2025 - Elsevier
Abstract Nowadays, Industry 5.0 starts to gain attention, which advocates that intelligent
manufacturing should adequately consider the roles and needs of humans. In this context …
manufacturing should adequately consider the roles and needs of humans. In this context …
Momentor: Advancing video large language model with fine-grained temporal reasoning
Large Language Models (LLMs) demonstrate remarkable proficiency in comprehending and
handling text-based tasks. Many efforts are being made to transfer these attributes to video …
handling text-based tasks. Many efforts are being made to transfer these attributes to video …
Evaluating the impact of environmental semantic distractions on multimodal large language models
S Kuhozido, G Dunfield, E Ostrich, C Waterhouse - 2024 - researchsquare.com
Multimodal models integrating visual and textual data have transformed artificial intelligence
applications by providing more holistic and contextually aware responses. However, the …
applications by providing more holistic and contextually aware responses. However, the …
Auto-encoding morph-tokens for multimodal llm
For multimodal LLMs, the synergy of visual comprehension (textual output) and generation
(visual output) presents an ongoing challenge. This is due to a conflicting objective: for …
(visual output) presents an ongoing challenge. This is due to a conflicting objective: for …
Unified generative and discriminative training for multi-modal large language models
Abstract In recent times, Vision-Language Models (VLMs) have been trained under two
predominant paradigms. Generative training has enabled Multimodal Large Language …
predominant paradigms. Generative training has enabled Multimodal Large Language …
Fact: Teaching mllms with faithful, concise and transferable rationales
The remarkable performance of Multimodal Large Language Models (MLLMs) has
demonstrated their proficient understanding capabilities in handling various visual tasks …
demonstrated their proficient understanding capabilities in handling various visual tasks …
The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective
The rapid development of large language models (LLMs) has been witnessed in recent
years. Based on the powerful LLMs, multi-modal LLMs (MLLMs) extend the modality from …
years. Based on the powerful LLMs, multi-modal LLMs (MLLMs) extend the modality from …
A survey on multimodal benchmarks: In the era of large ai models
The rapid evolution of Multimodal Large Language Models (MLLMs) has brought substantial
advancements in artificial intelligence, significantly enhancing the capability to understand …
advancements in artificial intelligence, significantly enhancing the capability to understand …
Acdc: Autoregressive coherent multimodal generation using diffusion correction
Autoregressive models (ARMs) and diffusion models (DMs) represent two leading
paradigms in generative modeling, each excelling in distinct areas: ARMs in global context …
paradigms in generative modeling, each excelling in distinct areas: ARMs in global context …
Wall-e: World alignment by rule learning improves world model-based llm agents
Can large language models (LLMs) directly serve as powerful world models for model-
based agents? While the gaps between the prior knowledge of LLMs and the specified …
based agents? While the gaps between the prior knowledge of LLMs and the specified …