AI News

bg
RunwayML Introduces Act-One Feature: A New Way to Generate Expressive Character Performances Using Simple Video Inputs.

RunwayML Introduces Act-One Feature: A New Way to Gener...

Runway has announced a new feature called Act-One. One popular reason why Hollyw...

bg
ElevenLabs Introduces Voice Design: A New AI Feature that Generates a Unique Voice from a Text Prompt Alone

ElevenLabs Introduces Voice Design: A New AI Feature th...

ElevenLabs just introduced Voice Design, a new AI voice generation that allows y...

bg
Understanding and Reducing Nonlinear Errors in Sparse Autoencoders: Limitations, Scaling Behavior, and Predictive Techniques

Understanding and Reducing Nonlinear Errors in Sparse A...

Sparse autoencoders (SAEs) are an emerging method for breaking down language mod...

bg
MCSFF Framework: A Novel Multimodal Entity Alignment Framework Designed to Capture Consistency and Specificity Information across Modalities

MCSFF Framework: A Novel Multimodal Entity Alignment Fr...

Multi-modal entity alignment (MMEA) is a technique that leverages information fr...

bg
Layer-of-Thoughts Prompting (LoT): A Unique Approach that Uses Large Language Model (LLM) based Retrieval with Constraint Hierarchies

Layer-of-Thoughts Prompting (LoT): A Unique Approach th...

Utilizing Large Language Models (LLMs) through different prompting strategies ha...

bg
Starbucks: A New AI Training Strategy for Matryoshka-like Embedding Models which Encompasses both the Fine-Tuning and Pre-Training Phases

Starbucks: A New AI Training Strategy for Matryoshka-li...

In machine learning, embeddings are widely used to represent data in a compresse...

bg
Salesforce AI Research Propose Programmatic VLM Evaluation (PROVE): A New Benchmarking Paradigm for Evaluating VLM Responses to Open-Ended Queries

Salesforce AI Research Propose Programmatic VLM Evaluat...

Vision-Language Models (VLMs) are increasingly used for generating responses to ...

bg
Adaptive Data Optimization (ADO): A New Algorithm for Dynamic Data Distribution in Machine Learning, Reducing Complexity and Improving Model Accuracy

Adaptive Data Optimization (ADO): A New Algorithm for D...

Machine learning, particularly the training of large foundation models, relies h...

bg
Goal Representations for Instruction Following

Goal Representations for Instruction Following

Goal Representations for Instruction Following A longstanding...

bg
Asymmetric Certified Robustness via Feature-Convex Neural Networks

Asymmetric Certified Robustness via Feature-Convex Neur...

Asymmetric Certified Robustness via Feature-Convex Neural Networks ...

bg
Ghostbuster: Detecting Text Ghostwritten by Large Language Models

Ghostbuster: Detecting Text Ghostwritten by Large Langu...

The structure of Ghostbuster, our new state-of-the-art metho...

bg
The Shift from Models to Compound AI Systems

The Shift from Models to Compound AI Systems

AI caught everyone’s attention in 2023 with Large Language Mode...

bg
Modeling Extremely Large Images with xT

Modeling Extremely Large Images with xT

As computer vision researchers, we believe that every pixel can...

bg
TinyAgent: Function Calling at the Edge

TinyAgent: Function Calling at the Edge

The ability of LLMs to execute commands through plain langu...

bg
Are We Ready for Multi-Image Reasoning? Launching VHs: The Visual Haystacks Benchmark!

Are We Ready for Multi-Image Reasoning? Launching VHs: ...

Humans excel at processing vast arrays of visual information, a...

bg
How to Evaluate Jailbreak Methods: A Case Study with the StrongREJECT Benchmark

How to Evaluate Jailbreak Methods: A Case Study with th...

When we began studying jailbreak evaluations, we found a fascin...

This site uses cookies to enhance the user experience. By continuing to browse and use the site you are agreeing to our use of cookies per our Terms & Conditions and Privacy Policy.

G-5DN623FMX0