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Collections including paper arxiv:2402.17139

VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Paper • 2403.10517 • Published Mar 15 • 30
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding

Paper • 2403.11481 • Published Mar 18 • 11
VideoMamba: State Space Model for Efficient Video Understanding

Paper • 2403.06977 • Published Mar 11 • 27
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies

Paper • 2403.01422 • Published Mar 3 • 26

To read... eventually

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Paper • 2403.09611 • Published Mar 14 • 123
Evolutionary Optimization of Model Merging Recipes

Paper • 2403.13187 • Published Mar 19 • 49
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model

Paper • 2402.03766 • Published Feb 6 • 12
LLM Agent Operating System

Paper • 2403.16971 • Published Mar 25 • 64

Video Understanding, Video Embedding, Video Tasks

Video as the New Language for Real-World Decision Making

Paper • 2402.17139 • Published Feb 27 • 18
VideoPrism: A Foundational Visual Encoder for Video Understanding

Paper • 2402.13217 • Published Feb 20 • 21
World Model on Million-Length Video And Language With RingAttention

Paper • 2402.08268 • Published Feb 13 • 36
microsoft/xclip-base-patch16-zero-shot

Video Classification • Updated Sep 12, 2023 • 11.7k • 22

Video as the New Language for Real-World Decision Making

Paper • 2402.17139 • Published Feb 27 • 18
Learning and Leveraging World Models in Visual Representation Learning

Paper • 2403.00504 • Published Mar 1 • 29
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies

Paper • 2403.01422 • Published Mar 3 • 26
VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models

Paper • 2403.05438 • Published Mar 8 • 18

Visual In-Context Prompting

Paper • 2311.13601 • Published Nov 22, 2023 • 16
Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 142
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework

Paper • 2308.08155 • Published Aug 16, 2023 • 2
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models

Paper • 2303.02927 • Published Mar 6, 2023 • 3

Video as the New Language for Real-World Decision Making

Paper • 2402.17139 • Published Feb 27 • 18
VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Paper • 2310.19512 • Published Oct 30, 2023 • 15
VideoMamba: State Space Model for Efficient Video Understanding

Paper • 2403.06977 • Published Mar 11 • 27
VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

Paper • 2401.09047 • Published Jan 17 • 13

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 589
Video as the New Language for Real-World Decision Making

Paper • 2402.17139 • Published Feb 27 • 18
Design2Code: How Far Are We From Automating Front-End Engineering?

Paper • 2403.03163 • Published Mar 5 • 93
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems

Paper • 2407.01370 • Published Jul 1 • 84

video understanding

VideoPrism: A Foundational Visual Encoder for Video Understanding

Paper • 2402.13217 • Published Feb 20 • 21
Sora Generates Videos with Stunning Geometrical Consistency

Paper • 2402.17403 • Published Feb 27 • 16
Video as the New Language for Real-World Decision Making

Paper • 2402.17139 • Published Feb 27 • 18
VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Paper • 2406.16338 • Published Jun 24 • 24

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 140
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20 • 10
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24 • 48
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24 • 44

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