Lumiere: A Space-Time Diffusion Model for Video Generation
Paper • 2401.12945 • Published • 86
Papers - Google
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Long-form factuality in large language models
Paper • 2403.18802 • Published • 26 -
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion
Paper • 2403.18818 • Published • 28 -
TC4D: Trajectory-Conditioned Text-to-4D Generation
Paper • 2403.17920 • Published • 18 -
Transforming and Combining Rewards for Aligning Large Language Models
Paper • 2402.00742 • Published • 12 -
Leverage the Average: an Analysis of KL Regularization in RL
Paper • 2003.14089 • Published • 2 -
Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces
Paper • 2403.20275 • Published • 10 -
Gecko: Versatile Text Embeddings Distilled from Large Language Models
Paper • 2403.20327 • Published • 47 -
Localizing Paragraph Memorization in Language Models
Paper • 2403.19851 • Published • 15 -
Streaming Dense Video Captioning
Paper • 2404.01297 • Published • 13 -
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction
Paper • 2305.02549 • Published • 7 -
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
Paper • 2203.08411 • Published • 1 -
ETC: Encoding Long and Structured Inputs in Transformers
Paper • 2004.08483 • Published • 1 -
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Paper • 2305.13245 • Published • 6 -
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints
Paper • 2212.05055 • Published • 6 -
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Paper • 1910.10683 • Published • 18 -
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models
Paper • 2404.01367 • Published • 22 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 108 -
Training LLMs over Neurally Compressed Text
Paper • 2404.03626 • Published • 23 -
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Paper • 1905.10044 • Published • 2 -
Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems
Paper • 1705.04146 • Published • 1 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 15 -
Premise Order Matters in Reasoning with Large Language Models
Paper • 2402.08939 • Published • 28 -
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Paper • 1804.07461 • Published • 4 -
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
Paper • 2208.01626 • Published • 3 -
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
Paper • 2103.01913 • Published • 2 -
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Paper • 2404.04125 • Published • 29 -
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
Paper • 1502.03167 • Published • 2 -
Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer
Paper • 2205.12148 • Published • 2 -
Capabilities of Gemini Models in Medicine
Paper • 2404.18416 • Published • 25 -
Stylus: Automatic Adapter Selection for Diffusion Models
Paper • 2404.18928 • Published • 15 -
DOCCI: Descriptions of Connected and Contrasting Images
Paper • 2404.19753 • Published • 13 -
What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation
Paper • 2404.07129 • Published • 3 -
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models
Paper • 2405.16759 • Published • 8 -
TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools
Paper • 2406.03618 • Published • 2 -
Neural Autoregressive Distribution Estimation
Paper • 1605.02226 • Published • 1 -
Tx-LLM: A Large Language Model for Therapeutics
Paper • 2406.06316 • Published • 19 -
Classifier-Free Diffusion Guidance
Paper • 2207.12598 • Published • 5 -
Improve Mathematical Reasoning in Language Models by Automated Process Supervision
Paper • 2406.06592 • Published • 29 -
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Paper • 1707.02968 • Published • 1 -
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Paper • 1602.07261 • Published • 1 -
Data curation via joint example selection further accelerates multimodal learning
Paper • 2406.17711 • Published • 3 -
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
Paper • 2410.23168 • Published • 24