Meta AI and NYU researchers propose E-RLHF to combat LLM jailbreaking
Large language models (LLMs) have gained prominence in deep learning, demonstrating exceptional capabilities in several domains such as assistance, code ...
Tag: NYU
PaleoScan is an affordable imaging device that democratizes fossil research
A innovative scanner Claudio Silva's PaleoScan, created by a computer scientist at New York University, allows scientists to digitize fossils ...
Researchers at UC Berkeley, UIUC, and NYU developed an algorithmic framework that uses reinforcement learning (RL) to optimize vision and language models (VLM)
Using linguistic thinking, broad vision-language models (VLMs) have demonstrated remarkable capabilities as adaptive agents that can solve a wide range ...
This AI article from NYU and Meta reveals 'Machine Learning Beyond the Limits: How Tuning with High Dropout Rates Outshines Ensemble and Weight-Averaging Methods'
In recent years, machine learning has moved significantly away from the assumption that training and testing data come from the ...
This AI article from Meta and NYU presents self-rewarding language models that are capable of self-alignment by evaluating and training their own generations.
Future models must receive superior feedback for training signals to be effective and thus advance the development of superhuman agents. ...
AI research from UC Berkeley and NYU explores gap between visual clip embedding space and vision-only self-supervised learning
MLLMs, or multimodal large language models, have been making strides lately. By incorporating images into large language models (LLMs) and ...
Can AI really understand sarcasm? This NYU article explores advanced models in natural language processing
Natural language processing (NLP) is useful in many fields and brings transformative changes in communication, information processing and decision making. ...
NYU and Meta researchers present Dobb-E: a general, open-source framework for learning home robotic manipulation
The team of NYU and Meta researchers set out to address the challenge of learning robotic manipulation in home environments ...
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