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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...

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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...

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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...

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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...

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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...

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A Comprehensive Comparative Study on the Reasoning Patterns of OpenAI’s o1 Model Across Mathematical, Coding, and Commonsense Reasoning Tasks

A Comprehensive Comparative Study on the Reasoning Patt...

Large language models (LLMs) have significantly advanced handling of complex tas...

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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...

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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 ...

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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...

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Asymmetric Certified Robustness via Feature-Convex Neural Networks

Asymmetric Certified Robustness via Feature-Convex Neur...

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

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Goal Representations for Instruction Following

Goal Representations for Instruction Following

Goal Representations for Instruction Following A longstanding...

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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...

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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...

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TinyAgent: Function Calling at the Edge

TinyAgent: Function Calling at the Edge

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

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Modeling Extremely Large Images with xT

Modeling Extremely Large Images with xT

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

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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...

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