Instruction fine-tuning is the process of training an LLM on a small curated instruction dataset, which allows the model to achieve high performance on...
In the research paper “Universal Visual Decomposer: Long-Horizon Manipulation Made Easy”, the authors address the challenge of teaching robots to perform long-horizon manipulation tasks...
While LLMs' reasoning capabilities are excellent, they still need to be improved to apply those capabilities in practical settings. In particular, how to proveably...
The Document Structure Generator (DSG) is a powerful system for parsing and generating structured documents. DSG surpasses commercial OCR tools' capabilities and sets new...
DiagrammerGPT is a revolutionary two-stage system for generating diagrams from text powered by advanced LLMs like GPT-4. This framework utilizes the layout guidance capabilities...
In the entire world, about one in eight persons have mental problems. However, mental health disorders are significantly underserved for various reasons, such as...
LFQA aims to provide a complete and thorough response to any query. Parametric information in large language models (LLMs) and retrieved documents presented at...
LIBERO, a lifelong learning benchmark in robot manipulation, focuses on knowledge transfer in declarative and procedural domains. It introduces five key research areas in...
VideoCrafter is a new open-source video creation and editing suite. Diffusion models, a machine learning model, fuel it. These models may generate photo- and...
Artificial intelligence content generation's rapid evolution, particularly in text-to-image (T2I) models, has ushered in a new era of high-quality, diverse, and creative AI-generated content....
Introducing BOSS (Bootstrapping your own SkillS): a groundbreaking approach that leverages large language models to autonomously build a versatile skill library for tackling intricate...
A few tasks requiring the creation or verification of factual assertions—such as question answering, fact-checking, and even the generation of unconditional text—are relatively successfully...
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