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Elenco dei risultati
- Language Models are Few-Shot Learners + (luglio 22, 2020)
- Guiding Attention with Evidence for Improving Document-Level Relation Extraction (DREEAM) + (2021)
- Learning Transferable Visual Models From Natural Language Supervision + (2021)
- Vision Transformers for Dense Prediction + (2021)
- Diffusion Models Beat GANs on Image Synthesis + (2021)
- Taming Transformers for High-Resolution Image Synthesis + (2021)
- Massive Multitask Language Understanding + (2021)
- ValueNet: A New Dataset for Human Value Driven Dialogue System + (2021)
- Prefix-tuning: Optimizing continuous prompts for generation + (2021)
- Survey of Hallucination in Natural Language Generation + (2021)
- M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation + (2021)
- What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization? + (2021)
- Unsupervised Dense Information Retrieval with Contrastive Learning + (2021)
- Dense Passage Retrieval for Open-Domain Question Answering + (2021)
- Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index + (2021)
- Training Compute-Optimal Large Language Models + (2021)
- Training language models to follow instructions with human feedback + (2022)
- Classifier-Free Diffusion Guidance + (2022)
- High-Resolution Image Synthesis with Latent Diffusion Models + (2022)
- LAION-5B: An open large-scale dataset for training next generation image-text models + (2022)
- InstructGPT: Training Language Models to Follow Instructions with Human Feedback + (2022)
- Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets + (2022)
- Chain of Thought Prompting Elicits Reasoning in Large Language Models + (2022)
- Crawling the Internal Knowledge-Base of Language Models + (2022)
- Is Power-Seeking AI an Existential Risk? + (2022)
- Are We Done with MMLU? + (2023)
- Deep Reinforcement Learning from Human Preferences + (2023)
- Emergent Abilities of Large Language Models + (2023)
- GPT-4 Technical Report + (2023)
- Gorilla: Large Language Model Connected with Massive APIs + (2023)
- How Many Data Points is a Prompt Worth? + (2023)
- LLaMA: Open and Efficient Foundation Language Models + (2023)
- MiDaS v3.1 – A Model Zoo for Robust Monocular Relative Depth Estimation + (2023)
- Technical Report, Palm 2 + (2023)
- A Theory for Emergence of Complex Skills in Language Models (2023) + (luglio 29, 2023)
- Why think step by step? Reasoning emerges from the locality of experience (2023) + (novembre 2, 2023)
- Dall-e 3 (2023) + (2024)
- Large Language Models as Zero-shot Dialogue State Tracker through Function Calling (16/02/2024) + (2024)
- In Search of Needles in a 11M Haystack:Recurrent Memory Finds What LLMs Miss + (2024)
- LongAlign: A Recipe for Long Context Alignment of Large Language Models + (2024)
- Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models + (2024)
- Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning Gap + (2024)
- A Comprehensive Overview of Large Language Models + (2024)
- MemGPT: Towards LLMs as Operating Systems + (2024)
- Are Large Language Models Geospatially Knowledgeable? + (2024)
- Estimating Knowledge in Large Language Models Without Generating a Single Token + (2024)
- Scaling Rectified Flow Transformers for High-Resolution Image Synthesis + (2024)
- Physics in Next-token Prediction + (2024)
- Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models + (2024)
- WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models + (gennaio 25, 2024)