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Mixture-of-Agents Enhances Large Language Model Capabilities
Paper • 2406.04692 • Published • 49 -
CRAG -- Comprehensive RAG Benchmark
Paper • 2406.04744 • Published • 38 -
Boosting Large-scale Parallel Training Efficiency with C4: A Communication-Driven Approach
Paper • 2406.04594 • Published • 4 -
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Paper • 2406.04271 • Published • 26
Collections
Discover the best community collections!
Collections including paper arxiv:2405.18407
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Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Paper • 2406.06525 • Published • 60 -
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
Paper • 2406.06469 • Published • 22 -
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Paper • 2406.04271 • Published • 26 -
Block Transformer: Global-to-Local Language Modeling for Fast Inference
Paper • 2406.02657 • Published • 35
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MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
Paper • 2311.17049 • Published -
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 11 -
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision
Paper • 2303.17376 • Published -
Sigmoid Loss for Language Image Pre-Training
Paper • 2303.15343 • Published • 4
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PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
Paper • 2402.08714 • Published • 10 -
Data Engineering for Scaling Language Models to 128K Context
Paper • 2402.10171 • Published • 18 -
RLVF: Learning from Verbal Feedback without Overgeneralization
Paper • 2402.10893 • Published • 10 -
Coercing LLMs to do and reveal (almost) anything
Paper • 2402.14020 • Published • 12
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Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Paper • 2401.09048 • Published • 7 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 13 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 54 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 70
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Instruct-Imagen: Image Generation with Multi-modal Instruction
Paper • 2401.01952 • Published • 30 -
ODIN: A Single Model for 2D and 3D Perception
Paper • 2401.02416 • Published • 10 -
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
Paper • 2404.01367 • Published • 19 -
Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models
Paper • 2404.02747 • Published • 11
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TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing
Paper • 2312.05605 • Published • 1 -
VMamba: Visual State Space Model
Paper • 2401.10166 • Published • 36 -
Rethinking Patch Dependence for Masked Autoencoders
Paper • 2401.14391 • Published • 22 -
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
Paper • 2401.14404 • Published • 16