Initializing Models with Larger Ones
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance
GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?
TaskWeaver: A Code-First Agent Framework
Efficient LLM Inference on CPUs
Igniting Language Intelligence: The Hitchhiker’s Guide From Chain-of-Thought Reasoning to Language Agents
STaR: Bootstrapping Reasoning With Reasoning
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
Exponentially Faster Language Modelling
Orca 2: Teaching Small Language Models How to Reason
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
A Survey on Language Models for Code
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
Learning to Filter Context for Retrieval-Augmented Generation
GraphCast: Learning skillful medium-range global weather forecasting
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
CogVLM: Visual Expert for Pretrained Language Models
How Can Recommender Systems Benefit from Large Language Models: A Survey
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs
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