Results 11 to 20 of about 18,544,591 (363)
SWE-bench: Can Language Models Resolve Real-World GitHub Issues? [PDF]
International Conference on Learning Representations, 2023 Language models have outpaced our ability to evaluate them effectively, but for their future development it is essential to study the frontier of their capabilities.
Carlos E. Jimenez +6 more
semanticscholar +1 more source
RT-1: Robotics Transformer for Real-World Control at Scale [PDF]
Robotics: Science and Systems Conference, 2022 By transferring knowledge from large, diverse, task-agnostic datasets, modern machine learning models can solve specific downstream tasks either zero-shot or with small task-specific datasets to a high level of performance. While this capability has been
Anthony Brohan +50 more
semanticscholar +1 more source
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs [PDF]
International Conference on Learning Representations, 2023 Despite the advancements of open-source large language models (LLMs), e.g., LLaMA, they remain significantly limited in tool-use capabilities, i.e., using external tools (APIs) to fulfill human instructions.
Yujia Qin +17 more
semanticscholar +1 more source
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection [PDF]
AISec@CCS, 2023 Large Language Models (LLMs) are increasingly being integrated into applications, with versatile functionalities that can be easily modulated via natural language prompts. So far, it was assumed that the user is directly prompting the LLM.
Kai Greshake +5 more
semanticscholar +1 more source
Machine Learning: Algorithms, Real-World Applications and Research Directions
SN Computer Science, 2021 In the current age of the Fourth Industrial Revolution (4IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc.
Iqbal H. Sarker
semanticscholar +1 more source
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data [PDF]
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021 Though many attempts have been made in blind super-resolution to restore low-resolution images with unknown and complex degradations, they are still far from addressing general real-world degraded images.
Xintao Wang +3 more
semanticscholar +1 more source
Pain and Therapy, 2023 Introduction Migraine is a common disabling primary headache disorder characterized by attacks of severe pain, sometimes accompanied by symptoms including nausea and photo-/phono-phobia.
Lei Zhang +8 more
doaj +1 more source
Physician- and patient-reported perspectives on myasthenia gravis in Europe: a real-world survey
Orphanet Journal of Rare Diseases, 2023 Background Myasthenia gravis (MG) is a rare, chronic, debilitating, unpredictable, and potentially life-threatening neuromuscular disease. There is a lack of real-world data on disease management that could be used to further understand and address unmet
Milada Mahic +6 more
doaj +1 more source
BMC Neurology, 2021 Background Many patients with Parkinson’s disease (PD) who receive carbidopa/levodopa experience symptom reemergence or worsening, or “OFF” episodes.
Andrew Thach +5 more
doaj +1 more source
SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution [PDF]
Computer Vision and Pattern Recognition, 2023 Owe to the powerful generative priors, the pretrained text-to-image (T2I) diffusion models have become increasingly popular in solving the real-world image super-resolution problem.
Rongyuan Wu +5 more
semanticscholar +1 more source