Communications of the ACMOpinion

It Takes a Village to Teach Privacy

Schools offer structure, repetition, and alignment with developmental milestones in learning privacy skills. Community ...
GitHub

Agent Skills for Context Engineering

Context engineering is the discipline of managing the language model's context window. Unlike prompt engineering, which focuses on crafting effective instructions, context engineering addresses the ...
acm.org

Collective Intelligence Doesn’t Scale, In-Context Collaborative Learning Does

The trajectory of artificial intelligence has reached a critical inflection point. We know how to scale individual models to hundreds of billions of parameters, yet they still struggle with plasticity ...
Wall Street Journal

CEOs Are Learning to Live With Trump’s Turn to State Capitalism

Last week Nvidia finally got permission to sell one of its most advanced semiconductor chips to China. The catch: The federal government will take 25% of the revenue from those sales. The Nvidia deal ...
Microsoft

Learning to Retrieve Iteratively for In-Context Learning

We introduce iterative retrieval, a novel framework that empowers retrievers to make iterative decisions through policy optimization. Finding an optimal portfolio of retrieved items is a combinatorial ...
First Coast News

Sisters of woman who died after dental procedure speak after learning another patient of the same dentist died

JACKSONVILLE, Fla. — The sisters of a woman who died after a dental procedure in Jacksonville in 2023 are speaking out after learning another patient died during a procedure with the same dentist two ...
IEEE

Self-Relevance-Based Multimodal In-Context Learning for Multimodal Named Entity Recognition

Abstract: Recently, Multimodal Named Entity Recognition (MNER) has attracted significant attention. Although MNER utilizing in-context learning has shown improved performance, modality retrieval bias ...
IEEE

Exploring Effective Factors for Improving Visual In-Context Learning

Abstract: The In-Context Learning (ICL) is to understand a new task via a few demonstrations (aka. prompt) and predict new inputs without tuning the models. While it has been widely studied in NLP, it ...
GitHub

SeDPO: Learning to Rank for In-Context Example Retrieval

A novel approach to in-context learning example selection/ordering through the extension of DPO. Experimental results demonstrate the top-1 performance across 4 NLP tasks including 9 subsets, with ...
VentureBeat

ACE prevents context collapse with ‘evolving playbooks’ for self-improving AI agents

A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework ...
Brown University

Researchers uncover similarities between human and AI learning

PROVIDENCE, R.I. [Brown University] — New research found similarities in how humans and artificial intelligence integrate two types of learning, offering new insights about how people learn as well as ...