With generative AI, MIT chemists quickly calculate 3D genomic structures
TheStaff A new approach, which takes minutes rather than days, predicts how a specific DNA sequence...
AI Generative
Introducing the MIT Generative AI Impact Consortium
The consortium will bring researchers and industry together to focus on impact. Fonte: https://news.mit.edu/2025/introducing-mit-generative-ai-impact-consortium-0203
Ghostbuster: Detecting Text Ghostwritten by Large Language Models
The structure of Ghostbuster, our new state-of-the-art method for detecting AI-generated text. Large language models...
The Shift from Models to Compound AI Systems
AI caught everyone’s attention in 2023 with Large Language Models (LLMs) that can be instructed...
Modeling Extremely Large Images with xT
As computer vision researchers, we believe that every pixel can tell a story. However, there...
TinyAgent: Function Calling at the Edge
The ability of LLMs to execute commands through plain language (e.g. English) has enabled agentic...
Are We Ready for Multi-Image Reasoning? Launching VHs: The Visual Haystacks Benchmark!
Humans excel at processing vast arrays of visual information, a skill that is crucial for...
How to Evaluate Jailbreak Methods: A Case Study with the StrongREJECT Benchmark
When we began studying jailbreak evaluations, we found a fascinating paper claiming that you could...
Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination
Sample language model responses to different varieties of English and native speaker reactions. ChatGPT does...
Virtual Personas for Language Models via an Anthology of Backstories
We introduce Anthology, a method for conditioning LLMs to representative, consistent, and diverse virtual personas...