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AI News
Starbucks: A New AI Training Strategy for Matryoshka-li...
In machine learning, embeddings are widely used to represent data in a compresse...
Layer-of-Thoughts Prompting (LoT): A Unique Approach th...
Utilizing Large Language Models (LLMs) through different prompting strategies ha...
MCSFF Framework: A Novel Multimodal Entity Alignment Fr...
Multi-modal entity alignment (MMEA) is a technique that leverages information fr...
Understanding and Reducing Nonlinear Errors in Sparse A...
Sparse autoencoders (SAEs) are an emerging method for breaking down language mod...
ElevenLabs Introduces Voice Design: A New AI Feature th...
ElevenLabs just introduced Voice Design, a new AI voice generation that allows y...
RunwayML Introduces Act-One Feature: A New Way to Gener...
Runway has announced a new feature called Act-One. One popular reason why Hollyw...
A Comprehensive Comparative Study on the Reasoning Patt...
Large language models (LLMs) have significantly advanced handling of complex tas...
Adaptive Data Optimization (ADO): A New Algorithm for D...
Machine learning, particularly the training of large foundation models, relies h...
Salesforce AI Research Propose Programmatic VLM Evaluat...
Vision-Language Models (VLMs) are increasingly used for generating responses to ...
Ghostbuster: Detecting Text Ghostwritten by Large Langu...
The structure of Ghostbuster, our new state-of-the-art metho...
Asymmetric Certified Robustness via Feature-Convex Neur...
Asymmetric Certified Robustness via Feature-Convex Neural Networks ...
Goal Representations for Instruction Following
Goal Representations for Instruction Following A longstanding...
How to Evaluate Jailbreak Methods: A Case Study with th...
When we began studying jailbreak evaluations, we found a fascin...
Are We Ready for Multi-Image Reasoning? Launching VHs: ...
Humans excel at processing vast arrays of visual information, a...
TinyAgent: Function Calling at the Edge
The ability of LLMs to execute commands through plain langu...
Modeling Extremely Large Images with xT
As computer vision researchers, we believe that every pixel can...