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Elenco dei risultati

• None  + (2018)
• The Natural Language Decathlon: Multitask Learning as Question Answering  + (2018)
• The Schema-Guided Dialogue Dataset  + (2019)
• Pre-training of Deep Bidirectional Transformers for Language Understanding  + (2019)
• How to Fine Tune Bert for Sequence Classification?  + (2019)
• Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks  + (2019)
• A Large-Scale Document-Level Relation Extraction Dataset  + (2019)
• HellaSwag: Can a Machine Really Finish Your Sentence?  + (2019)
• BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension  + (2019)
• RoBERTa: A Robustly Optimized BERT Pretraining Approach  + (2019)
• Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer  + (2020)
• XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization  + (2020)
• Highly accurate protein structure prediction with AlphaFold  + (2020)
• 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)

• Chain of Thought Prompting Elicits Reasoning in Large Language Models  + (2022)
• Classifier-Free Diffusion Guidance  + (2022)
• Crawling the Internal Knowledge-Base of Language Models  + (2022)
• Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets  + (2022)
• High-Resolution Image Synthesis with Latent Diffusion Models  + (2022)
• InstructGPT: Training Language Models to Follow Instructions with Human Feedback  + (2022)
• Is Power-Seeking AI an Existential Risk?  + (2022)
• LAION-5B: An open large-scale dataset for training next generation image-text models  + (2022)
• Training language models to follow instructions with human feedback  + (2022)

• Deep Reinforcement Learning from Human Preferences  + (2023)
• MiDaS v3.1 – A Model Zoo for Robust Monocular Relative Depth Estimation  + (2023)
• GPT-4 Technical Report  + (2023)
• Gorilla: Large Language Model Connected with Massive APIs  + (2023)
• LLaMA: Open and Efficient Foundation Language Models  + (2023)
• Technical Report, Palm 2  + (2023)
• Are We Done with MMLU?  + (2023)
• How Many Data Points is a Prompt Worth?  + (2023)
• Emergent Abilities of Large Language Models  + (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)