ACL 2024 Conference: Apple Machine Learning Research
Apple is sponsoring the Association for Computational Linguistics (ACL) annual meeting, taking place in-person from August 11-16 in Bangkok, Thailand. ...
Tag: Machine
Generating gender alternatives in machine translation
This article was accepted at the 5th Workshop on Gender Bias in Natural Language Processing 2024. Machine translation (MT) systems ...
This paper on artificial intelligence presents a verbalized way of performing machine learning and carries out several case studies on regression and classification tasks.
Large-scale language models (LLMs) have revolutionized problem solving in machine learning by shifting the paradigm from traditional end-to-end training to ...
Recursive Introspection (RISE): A machine learning approach to fine-tuning LLMs to improve their own responses over multiple turns in a sequential manner
Large language models (LLMs) have gained significant attention as powerful tools for a variety of tasks, but their potential as ...
The impact of questionable research practices on the evaluation of machine learning (ML) models
Evaluating model performance is essential in the fields of artificial intelligence and machine learning, which are advancing considerably, especially with ...
Stanford researchers present contrastive preference learning (CPL): a new machine learning framework for RLHF that uses the regret preference model
Aligning models with human preferences poses significant challenges in ai research, particularly in sequential and high-dimensional decision-making tasks. Traditional reinforcement ...
What we still don't understand about machine learning
If you are not a member, Read for free here It's amazing how some of the basic topics of machine ...
Predicting Sustainable Development Goals (SDG) outcomes for 2030: a machine learning approach using ARIMAX and linear regression models
Forecast of Sustainable Development Goals (SDG) outcomes for 2030: The Sustainable Development Goals (SDGs) set by the United Nations aim ...
Forecasting US GDP using Machine Learning and Mathematics | by Dron Mongia | Jul, 2024
What can we learn from this modern problem?14 min read·12 hours agoPhoto by Igor Omilaev on UnsplashGDP is a very ...
Google AI introduces NeuralGCM: a new machine learning (ML)-based approach to simulate Earth's atmosphere
General circulation models (GCMs) form the backbone of weather and climate prediction, leveraging numerical solvers for large-scale dynamics and parameterizations ...
Recommended.
