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Foundation models in robotics: Applications, challenges, and the future
We survey applications of pretrained foundation models in robotics. Traditional deep
learning models in robotics are trained on small datasets tailored for specific tasks, which …
learning models in robotics are trained on small datasets tailored for specific tasks, which …
Filling the image information gap for vqa: Prompting large language models to proactively ask questions
Large Language Models (LLMs) demonstrate impressive reasoning ability and the
maintenance of world knowledge not only in natural language tasks, but also in some vision …
maintenance of world knowledge not only in natural language tasks, but also in some vision …
Lang2ltl-2: Grounding spatiotemporal navigation commands using large language and vision-language models
Grounding spatiotemporal navigation commands to structured task specifications enables
autonomous robots to understand a broad range of natural language and solve long-horizon …
autonomous robots to understand a broad range of natural language and solve long-horizon …
Knowledge acquisition disentanglement for knowledge-based visual question answering with large language models
Knowledge-based Visual Question Answering (KVQA) requires both image and world
knowledge to answer questions. Current methods first retrieve knowledge from the image …
knowledge to answer questions. Current methods first retrieve knowledge from the image …
Enhancing few-shot KB-VQA with panoramic image captions guided by Large Language Models
Current state-of-the-art (SOTA) KB-VQA techniques involve transforming images into image
captions as prompts to harness the potent reasoning capabilities of large language models …
captions as prompts to harness the potent reasoning capabilities of large language models …
LLM-based Hierarchical Concept Decomposition for Interpretable Fine-Grained Image Classification
(Renyi Qu's Master's Thesis) Recent advancements in interpretable models for vision-
language tasks have achieved competitive performance; however, their interpretability often …
language tasks have achieved competitive performance; however, their interpretability often …
Learning to Ask Denotative and Connotative Questions for Knowledge-based VQA
Large language models (LLMs) have attracted increasing attention due to its prominent
performance on various tasks. Recent works seek to leverage LLMs on knowledge-based …
performance on various tasks. Recent works seek to leverage LLMs on knowledge-based …
Zero-Shot End-To-End Spoken Question Answering In Medical Domain
In the rapidly evolving landscape of spoken question-answering (SQA), the integration of
large language models (LLMs) has emerged as a transformative development …
large language models (LLMs) has emerged as a transformative development …
LLM as an Art Director (LaDi): Using LLMs to improve Text-to-Media Generators
Recent advancements in text-to-image generation have revolutionized numerous fields,
including art and cinema, by automating the generation of high-quality, context-aware …
including art and cinema, by automating the generation of high-quality, context-aware …