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Blazing a Trail in Interleaved Vision-and-Language Generation: Unveiling the Power of Generative Vokens with MiniGPT-5

Large language models excel at understanding and generating human language. This ability is crucial for tasks such as text summarization, sentiment analysis, translation, and...

Revolutionizing Language Model Fine-Tuning: Achieving Unprecedented Gains with NEFTune’s Noisy Embeddings

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...

How can Pre-Trained Visual Representations Help Solve Long-Horizon Manipulation? Meet Universal Visual Decomposer (UVD): An off-the-Shelf Method for Identifying Subgoals from Videos

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...

This AI Research Introduces ‘RAFA’: A Principled Artificial Intelligence Framework for Autonomous LLM Agents with Provable Sample Efficiency

While LLMs' reasoning capabilities are excellent, they still need to be improved to apply those capabilities in practical settings. In particular, how to proveably...

Revolutionizing Document Parsing: Meet DSG – The First End-to-End Trainable System for Hierarchical Structure Extraction

The Document Structure Generator (DSG) is a powerful system for parsing and generating structured documents. DSG surpasses commercial OCR tools' capabilities and sets new...

Meet DiagrammerGPT: A Novel Two-Stage Text-to-Diagram Generation AI Framework that Leverages the Knowledge of LLMs for Planning and Refining the Overall Diagram Plans

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...

Researchers from CMU and UC Santa Barbara Propose Innovative AI-Based ‘Diagnosis of Thought’ Prompting for Cognitive Distortion Detection in Psychotherapy

In the entire world, about one in eight persons have mental problems. However, mental health disorders are significantly underserved for various reasons, such as...

How Does Retrieval Augmentation Impact Long-Form Question Answering? This AI Study Provides New Insights into How Retrieval Augmentation Impacts Long- Knowledge-Rich Text Generation of...

LFQA aims to provide a complete and thorough response to any query. Parametric information in large language models (LLMs) and retrieved documents presented at...

UT Austin Researchers Introduce LIBERO: A Lifelong Robot Learning Benchmark to Study Knowledge Transfer in Decision-Making and Robotics at Scale

LIBERO, a lifelong learning benchmark in robot manipulation, focuses on knowledge transfer in declarative and procedural domains. It introduces five key research areas in...

Video Editing Enters a New Age with VideoCrafter: Open Diffusion AI Models for High-Quality Video Generation

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...

Meet Mini-DALLE3: An Interactive Text to Image Approach by Prompting Large Language Models

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....

PyTorchEdge Unveils ExecuTorch: Empowering On-Device Inference for Mobile and Edge Devices

In a groundbreaking move, PyTorch Edge introduced its new component, ExecuTorch, a cutting-edge solution poised to revolutionize on-device inference capabilities across mobile and edge...

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