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Discover the best community collections!

Collections including paper arxiv:2406.08085

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

Paper • 2402.04252 • Published Feb 6, 2024 • 30
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 15
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

Papers that exist

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification

Paper • 2509.15591 • Published Sep 19, 2025 • 45
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8, 2025 • 95
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost

Paper • 2602.03120 • Published Feb 3 • 1
TADA! Tuning Audio Diffusion Models through Activation Steering

Paper • 2602.11910 • Published Feb 12 • 2

Multi-modality LVM

VoCo-LLaMA: Towards Vision Compression with Large Language Models

Paper • 2406.12275 • Published Jun 18, 2024 • 31
TroL: Traversal of Layers for Large Language and Vision Models

Paper • 2406.12246 • Published Jun 18, 2024 • 36
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning

Paper • 2406.15334 • Published Jun 21, 2024 • 9
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning

Paper • 2406.12742 • Published Jun 18, 2024 • 15

MoEs papers reading list

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Paper • 1701.06538 • Published Jan 23, 2017 • 7
Sparse Networks from Scratch: Faster Training without Losing Performance

Paper • 1907.04840 • Published Jul 10, 2019 • 3
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Paper • 1910.02054 • Published Oct 4, 2019 • 11
A Mixture of h-1 Heads is Better than h Heads

Paper • 2005.06537 • Published May 13, 2020 • 2

Don’t forget me

StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization

Paper • 2410.08815 • Published Oct 11, 2024 • 47
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning

Paper • 2304.14856 • Published Apr 28, 2023 • 1
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token

Paper • 2405.13792 • Published May 22, 2024 • 1
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models

Paper • 2404.04522 • Published Apr 6, 2024

Associative Recurrent Memory Transformer

Paper • 2407.04841 • Published Jul 5, 2024 • 35
Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams

Paper • 2406.08085 • Published Jun 12, 2024 • 17

video llm works

PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

Paper • 2404.16994 • Published Apr 25, 2024 • 37
VideoMamba: State Space Model for Efficient Video Understanding

Paper • 2403.06977 • Published Mar 11, 2024 • 29
VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Paper • 2403.10517 • Published Mar 15, 2024 • 36
Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding

Paper • 2403.09626 • Published Mar 14, 2024 • 15

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

Paper • 2402.04252 • Published Feb 6, 2024 • 30
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 15
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

Don’t forget me

StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization

Paper • 2410.08815 • Published Oct 11, 2024 • 47
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning

Paper • 2304.14856 • Published Apr 28, 2023 • 1
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token

Paper • 2405.13792 • Published May 22, 2024 • 1
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models

Paper • 2404.04522 • Published Apr 6, 2024

Papers that exist

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification

Paper • 2509.15591 • Published Sep 19, 2025 • 45
A Survey on Latent Reasoning

Paper • 2507.06203 • Published Jul 8, 2025 • 95
Quantized Evolution Strategies: High-precision Fine-tuning of Quantized LLMs at Low-precision Cost

Paper • 2602.03120 • Published Feb 3 • 1
TADA! Tuning Audio Diffusion Models through Activation Steering

Paper • 2602.11910 • Published Feb 12 • 2

Associative Recurrent Memory Transformer

Paper • 2407.04841 • Published Jul 5, 2024 • 35
Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams

Paper • 2406.08085 • Published Jun 12, 2024 • 17

Multi-modality LVM

VoCo-LLaMA: Towards Vision Compression with Large Language Models

Paper • 2406.12275 • Published Jun 18, 2024 • 31
TroL: Traversal of Layers for Large Language and Vision Models

Paper • 2406.12246 • Published Jun 18, 2024 • 36
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning

Paper • 2406.15334 • Published Jun 21, 2024 • 9
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning

Paper • 2406.12742 • Published Jun 18, 2024 • 15

video llm works

PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

Paper • 2404.16994 • Published Apr 25, 2024 • 37
VideoMamba: State Space Model for Efficient Video Understanding

Paper • 2403.06977 • Published Mar 11, 2024 • 29
VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Paper • 2403.10517 • Published Mar 15, 2024 • 36
Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding

Paper • 2403.09626 • Published Mar 14, 2024 • 15

MoEs papers reading list

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Paper • 1701.06538 • Published Jan 23, 2017 • 7
Sparse Networks from Scratch: Faster Training without Losing Performance

Paper • 1907.04840 • Published Jul 10, 2019 • 3
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Paper • 1910.02054 • Published Oct 4, 2019 • 11
A Mixture of h-1 Heads is Better than h Heads

Paper • 2005.06537 • Published May 13, 2020 • 2

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