Neuro-symbolic AI for Industrial Configuration
What the paper is about Large Language Models (LLMs) have shown impressive performance on a wide range of generative tasks.
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What the paper is about Large Language Models (LLMs) have shown impressive performance on a wide range of generative tasks.
What the paper is about Frontier language models are rarely used in clinical workflows because the realistic, longitudinal benchmarks needed to develop them...
What the paper is about Prompt injection can degrade benign task performance without eliciting harmful content.
What the paper is about Generative artificial intelligence can turn learning analytics into personalized support, but feedback systems must decide when to in...
What the paper is about Scientific ideation is increasingly mediated by large language models, but current ideation systems are usually trained and evaluated...
What the paper is about Sustaining industrial recommendation research requires using the results of one experiment to decide what to investigate next.
GRASP: Generating, Revising, and Assessing for Strategic Planning with Agentic AI Large Language Models (LLMs) often struggle to maintain reliability as task...
Search-Aware Reinforcement Learning for Multi-Component Query Understanding in Roblox Game Search Query understanding (QU) is the engine behind how search sy...
What the paper is about The rapid progression of large language models is extending AI from passive content generation into the active workflows of engineeri...
What the paper is about We introduce PUBG Ally, an embodied agent for PUBG: BATTLEGROUNDS that can reason, act autonomously, and play alongside players as a...
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