Lumiere: A Space-Time Diffusion Model for Video Generation
Paper
• 2401.12945 • Published
• 87
Papers - Google
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Long-form factuality in large language models
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ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion
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TC4D: Trajectory-Conditioned Text-to-4D Generation
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Transforming and Combining Rewards for Aligning Large Language Models
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Leverage the Average: an Analysis of KL Regularization in RL
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Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces
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Gecko: Versatile Text Embeddings Distilled from Large Language Models
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Localizing Paragraph Memorization in Language Models
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Streaming Dense Video Captioning
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FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction
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FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
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ETC: Encoding Long and Structured Inputs in Transformers
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GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
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Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Paper • 1910.10683 • Published • 16 -
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
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Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
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Training LLMs over Neurally Compressed Text
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BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
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Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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Premise Order Matters in Reasoning with Large Language Models
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GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
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Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Paper • 2211.12588 • Published • 3 -
BERT Rediscovers the Classical NLP Pipeline
Paper • 1905.05950 • Published • 3 -
Prompt-to-Prompt Image Editing with Cross Attention Control
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WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
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No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
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Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Paper • 2404.07143 • Published • 111 -
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models
Paper • 2404.07839 • Published • 48 -
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Paper • 1912.08777 • Published • 2 -
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
Paper • 1907.12461 • Published • 1 -
Phenaki: Variable Length Video Generation From Open Domain Textual Description
Paper • 2210.02399 • Published • 3 -
Scaling Up Models and Data with t5x and seqio
Paper • 2203.17189 • Published • 1 -
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment
Paper • 2404.12318 • Published • 15 -
Does Gaussian Splatting need SFM Initialization?
Paper • 2404.12547 • Published • 9 -
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer
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Capabilities of Gemini Models in Medicine
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Stylus: Automatic Adapter Selection for Diffusion Models
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DOCCI: Descriptions of Connected and Contrasting Images
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What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
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Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models
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TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools
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Neural Autoregressive Distribution Estimation
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Tx-LLM: A Large Language Model for Therapeutics
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Classifier-Free Diffusion Guidance
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Improve Mathematical Reasoning in Language Models by Automated Process Supervision
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Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
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Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
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Data curation via joint example selection further accelerates multimodal learning
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TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
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