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Collections including paper arxiv:2401.15947

Vision Language Models Papers 🖼️💬📝

Papers about vision-language models, most important ones are on top of the list.

Improved Baselines with Visual Instruction Tuning

Paper • 2310.03744 • Published Oct 5, 2023 • 37
DeepSeek-VL: Towards Real-World Vision-Language Understanding

Paper • 2403.05525 • Published Mar 8 • 39
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities

Paper • 2308.12966 • Published Aug 24, 2023 • 6
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model

Paper • 2404.01331 • Published Mar 29 • 25

ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

Paper • 2406.04325 • Published Jun 6 • 71
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Paper • 2401.15947 • Published Jan 29 • 48
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Paper • 2311.10122 • Published Nov 16, 2023 • 26
Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models

Paper • 2311.16103 • Published Nov 27, 2023 • 1

multilingual vision models

Some papers I read for understanding vision models and also adding multilingual capabilities to them

An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 85
Visual Instruction Tuning

Paper • 2304.08485 • Published Apr 17, 2023 • 13
Improved Baselines with Visual Instruction Tuning

Paper • 2310.03744 • Published Oct 5, 2023 • 37
PALO: A Polyglot Large Multimodal Model for 5B People

Paper • 2402.14818 • Published Feb 22 • 23

Multimodal Papers

Woodpecker: Hallucination Correction for Multimodal Large Language Models

Paper • 2310.16045 • Published Oct 24, 2023 • 14
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 6
To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Paper • 2311.07574 • Published Nov 13, 2023 • 14
MyVLM: Personalizing VLMs for User-Specific Queries

Paper • 2403.14599 • Published Mar 21 • 15

Papers on Mixture of Experts (MoE)

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM

Paper • 2403.07816 • Published Mar 12 • 39
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Paper • 2402.01739 • Published Jan 29 • 26
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Paper • 2401.15947 • Published Jan 29 • 48
Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models

Paper • 2403.03432 • Published Mar 6 • 1

Multimodal VLLM

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Paper • 2401.15947 • Published Jan 29 • 48
The (R)Evolution of Multimodal Large Language Models: A Survey

Paper • 2402.12451 • Published Feb 19
deepseek-ai/deepseek-vl-7b-base

Updated Mar 15 • 161 • 43
Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts

Paper • 2405.11273 • Published May 18 • 17

Papers - MoE - Image

Scaling Vision with Sparse Mixture of Experts

Paper • 2106.05974 • Published Jun 10, 2021 • 3
Routers in Vision Mixture of Experts: An Empirical Study

Paper • 2401.15969 • Published Jan 29 • 2
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts

Paper • 2206.02770 • Published Jun 6, 2022 • 3
Experts Weights Averaging: A New General Training Scheme for Vision Transformers

Paper • 2308.06093 • Published Aug 11, 2023 • 2

Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts

Paper • 2009.10622 • Published Sep 22, 2020 • 1
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Paper • 2401.15947 • Published Jan 29 • 48
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts

Paper • 2401.04081 • Published Jan 8 • 70
MoE-Infinity: Activation-Aware Expert Offloading for Efficient MoE Serving

Paper • 2401.14361 • Published Jan 25 • 2

Mixtral of Experts

Paper • 2401.04088 • Published Jan 8 • 157
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Paper • 2401.15947 • Published Jan 29 • 48
MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts

Paper • 2401.04081 • Published Jan 8 • 70
EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models

Paper • 2308.14352 • Published Aug 28, 2023

Interesting things.

AtP*: An efficient and scalable method for localizing LLM behaviour to components

Paper • 2403.00745 • Published Mar 1 • 11
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 602
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT

Paper • 2402.16840 • Published Feb 26 • 23
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Paper • 2402.13753 • Published Feb 21 • 111

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