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Internal Consistency and Self-Feedback in Large Language Models: A Survey
Paper • 2407.14507 • Published • 46 -
New Desiderata for Direct Preference Optimization
Paper • 2407.09072 • Published • 9 -
Self-Recognition in Language Models
Paper • 2407.06946 • Published • 24 -
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
Paper • 2407.04842 • Published • 52
Collections
Discover the best community collections!
Collections including paper arxiv:2406.16855
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Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Paper • 2406.06525 • Published • 64 -
Step-aware Preference Optimization: Aligning Preference with Denoising Performance at Each Step
Paper • 2406.04314 • Published • 26 -
Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching
Paper • 2405.11252 • Published • 12 -
Reward Steering with Evolutionary Heuristics for Decoding-time Alignment
Paper • 2406.15193 • Published • 12
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pOps: Photo-Inspired Diffusion Operators
Paper • 2406.01300 • Published • 16 -
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
Paper • 2406.06911 • Published • 10 -
Interpreting the Weight Space of Customized Diffusion Models
Paper • 2406.09413 • Published • 18 -
EMMA: Your Text-to-Image Diffusion Model Can Secretly Accept Multi-Modal Prompts
Paper • 2406.09162 • Published • 13
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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 • 13 -
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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RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization
Paper • 2403.00483 • Published • 12 -
OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
Paper • 2403.01779 • Published • 28 -
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers
Paper • 2401.11605 • Published • 21 -
FiT: Flexible Vision Transformer for Diffusion Model
Paper • 2402.12376 • Published • 48
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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 • 21 -
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 • 8 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 15 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 58 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 72
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NExT-GPT: Any-to-Any Multimodal LLM
Paper • 2309.05519 • Published • 78 -
Large Language Model for Science: A Study on P vs. NP
Paper • 2309.05689 • Published • 20 -
AstroLLaMA: Towards Specialized Foundation Models in Astronomy
Paper • 2309.06126 • Published • 16 -
Large Language Models for Compiler Optimization
Paper • 2309.07062 • Published • 22
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MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
Paper • 2309.04662 • Published • 22 -
Neurons in Large Language Models: Dead, N-gram, Positional
Paper • 2309.04827 • Published • 16 -
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
Paper • 2309.05516 • Published • 9 -
DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs
Paper • 2309.03907 • Published • 8