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Collections including paper arxiv:2402.14818

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

PALO: A Polyglot Large Multimodal Model for 5B People

Paper • 2402.14818 • Published Feb 22, 2024 • 23
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Paper • 2402.13753 • Published Feb 21, 2024 • 116
User-LLM: Efficient LLM Contextualization with User Embeddings

Paper • 2402.13598 • Published Feb 21, 2024 • 21
Coercing LLMs to do and reveal (almost) anything

Paper • 2402.14020 • Published Feb 21, 2024 • 13

Dissecting In-Context Learning of Translations in GPTs

Paper • 2310.15987 • Published Oct 24, 2023 • 6
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca

Paper • 2309.08958 • Published Sep 16, 2023 • 2
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages

Paper • 2305.04160 • Published May 7, 2023 • 2
Ziya-VL: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning

Paper • 2310.08166 • Published Oct 12, 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, 2024 • 90
Visual Instruction Tuning

Paper • 2304.08485 • Published Apr 17, 2023 • 20
Improved Baselines with Visual Instruction Tuning

Paper • 2310.03744 • Published Oct 5, 2023 • 39
PALO: A Polyglot Large Multimodal Model for 5B People

Paper • 2402.14818 • Published Feb 22, 2024 • 23

manga_translation

EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23
PALO: A Polyglot Large Multimodal Model for 5B People

Paper • 2402.14818 • Published Feb 22, 2024 • 23
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Paper • 2403.09611 • Published Mar 14, 2024 • 129
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Paper • 2404.06512 • Published Apr 9, 2024 • 30

Woodpecker: Hallucination Correction for Multimodal Large Language Models

Paper • 2310.16045 • Published Oct 24, 2023 • 17
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models

Paper • 2310.14566 • Published Oct 23, 2023 • 27
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 9
Conditional Diffusion Distillation

Paper • 2310.01407 • Published Oct 2, 2023 • 20

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

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, 2024 • 90
Visual Instruction Tuning

Paper • 2304.08485 • Published Apr 17, 2023 • 20
Improved Baselines with Visual Instruction Tuning

Paper • 2310.03744 • Published Oct 5, 2023 • 39
PALO: A Polyglot Large Multimodal Model for 5B People

Paper • 2402.14818 • Published Feb 22, 2024 • 23

PALO: A Polyglot Large Multimodal Model for 5B People

Paper • 2402.14818 • Published Feb 22, 2024 • 23
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Paper • 2402.13753 • Published Feb 21, 2024 • 116
User-LLM: Efficient LLM Contextualization with User Embeddings

Paper • 2402.13598 • Published Feb 21, 2024 • 21
Coercing LLMs to do and reveal (almost) anything

Paper • 2402.14020 • Published Feb 21, 2024 • 13

manga_translation

EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23
PALO: A Polyglot Large Multimodal Model for 5B People

Paper • 2402.14818 • Published Feb 22, 2024 • 23
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Paper • 2403.09611 • Published Mar 14, 2024 • 129
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Paper • 2404.06512 • Published Apr 9, 2024 • 30

Dissecting In-Context Learning of Translations in GPTs

Paper • 2310.15987 • Published Oct 24, 2023 • 6
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca

Paper • 2309.08958 • Published Sep 16, 2023 • 2
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages

Paper • 2305.04160 • Published May 7, 2023 • 2
Ziya-VL: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning

Paper • 2310.08166 • Published Oct 12, 2023 • 1

Woodpecker: Hallucination Correction for Multimodal Large Language Models

Paper • 2310.16045 • Published Oct 24, 2023 • 17
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models

Paper • 2310.14566 • Published Oct 23, 2023 • 27
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 9
Conditional Diffusion Distillation

Paper • 2310.01407 • Published Oct 2, 2023 • 20

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