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Language Is Not All You Need: Aligning Perception with Language Models
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LLaMA: Open and Efficient Foundation Language Models
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Adding Conditional Control to Text-to-Image Diffusion ModelsStanford University
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Toolformer: Language Models Can Teach Themselves to Use Tools
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Flow Matching for Generative Modeling
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Why we built an AI supercomputer in the cloud
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mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
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Decision-Making Context Interaction Network for Click-Through Rate Prediction
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Large language models generate functional protein sequences across diverse families
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Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
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Constitutional AI: Harmlessness from AI Feedback
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Robust Speech Recognition via Large-Scale Weak Supervision
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Stable Diffusion with Core ML on Apple Silicon
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Fast Inference from Transformers via Speculative DecodingStanford University, University of California, Berkeley
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Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
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GPTQ: Accurate Post-Training Quantization for Generative Pre-trained TransformersEidgenössische Technische Hochschule Zürich, Institute of Science and Technology Austria
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wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
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data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
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Synergizing Reasoning and Acting in Language Models
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PaLM: Scaling Language Modeling with Pathways
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Monolith: Real Time Recommendation System With Collisionless Embedding Table
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Rethinking Personalized Ranking at Pinterest: An End-to-End Approach
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Toy Models of Superposition
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AudioLM: A Language Modeling Approach to Audio Generation
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Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
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Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction
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Prompt Tuning for Generative Multimodal Pretrained Models
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AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2seq Model
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Discovering faster matrix multiplication algorithms with reinforcement learning
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CLIP-CLOP: CLIP-Guided Collage and Photomontage
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No Language Left Behind: Scaling Human-Centered Machine TranslationMarta R. Costa-jussà
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Softmax Linear Units
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Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
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OPT: Open Pre-trained Transformer Language Models
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FlashAttention: Fast and Memory-Efficient Exact Attention with IO-AwarenessMassachusetts Institute of Technology, Stanford University
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mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
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ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest
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Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
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MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest
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M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems
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Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
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PinnerFormer: Sequence Modeling for User Representation at Pinterest
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Towards Total Recall in Industrial Anomaly Detection
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Hierarchical Text-Conditional Image Generation with CLIP Latents
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Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
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Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
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Training Compute-Optimal Large Language Models
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CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
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Learning When to Translate for Streaming Speech
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Training a Tokenizer for Free with Private Federated Learning
