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Recent advances of foundation language models-based continual learning: A survey
Recently, foundation language models (LMs) have marked significant achievements in the
domains of natural language processing and computer vision. Unlike traditional neural …
domains of natural language processing and computer vision. Unlike traditional neural …
Mavis: Mathematical visual instruction tuning with an automatic data engine
Autonomous interactive correction MLLM for robust robotic manipulation
The ability to reflect on and correct failures is crucial for robotic systems to interact stably with
real-life objects. Observing the generalization and reasoning capabilities of Multimodal …
real-life objects. Observing the generalization and reasoning capabilities of Multimodal …
AIC MLLM: Autonomous Interactive Correction MLLM for Robust Robotic Manipulation
The ability to reflect on and correct failures is crucial for robotic systems to interact stably with
real-life objects. Observing the generalization and reasoning capabilities of Multimodal …
real-life objects. Observing the generalization and reasoning capabilities of Multimodal …
LLM-controller: Dynamic robot control adaptation using large language models
In this study, a dynamic adaptation of a robot controller is investigated using large language
models (LLMs). We propose our controller called the LLM-Controller, where, in response to …
models (LLMs). We propose our controller called the LLM-Controller, where, in response to …
Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts
Current robot autonomy struggles to operate beyond the assumed Operational Design
Domain (ODD), the specific set of conditions and environments in which the system is …
Domain (ODD), the specific set of conditions and environments in which the system is …
TrojanRobot: Physical-World Backdoor Attacks Against VLM-based Robotic Manipulation
Robotic manipulation in the physical world is increasingly empowered by\textit {large
language models}(LLMs) and\textit {vision-language models}(VLMs), leveraging their …
language models}(LLMs) and\textit {vision-language models}(VLMs), leveraging their …
Diving into Self-Evolve Training for Multimodal Reasoning
W Liu, J Li, X Zhang, F Zhou, Y Cheng, J He - openreview.net
Reasoning ability is essential for Large Multimodal Models (LMMs). In the absence of
multimodal chain-of-thought annotated data, self-evolving training, where the model learns …
multimodal chain-of-thought annotated data, self-evolving training, where the model learns …