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Understand new AI research with readable explanations and links to the original papers.
Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost This paper explores a new way to build AI agents by...
LCGuard: Latent Communication Guard for Safe KV Sharing in Multi-Agent Systems Multi-agent systems powered by Large Language Models (LLMs) are increasingly u...
Spreadsheet-RL: Advancing Large Language Model Agents on Realistic Spreadsheet Tasks via Reinforcement Learning Spreadsheet-RL is a new framework designed to...
KAPPS: A knowledge-based CPPS Architecture for the Circular Factory The Circular Factory represents a shift in manufacturing where used products—often in unc...
Epicure: Navigating the Emergent Geometry of Food Ingredient Embeddings Epicure is a research project that explores how computers can represent the complex r...
Understanding the Risks of AI in Conflict Zones As AI models become standard tools for journalists, humanitarian workers, and governments, there is a growing...
AtelierEval: Agentic Evaluation of Humans & LLMs as Text-to-Image Prompters introduces a new way to measure how well humans and AI models translate user inte...
Wearable devices collect vast amounts of physiological and behavioral data, but turning these raw signals into meaningful health insights remains a significa...
Advancing Mathematics Research with AI-Driven Formal Proof Search This paper introduces "AlphaProof Nexus," a framework designed to help researchers solve op...
S2ED: From Story to Executable Descriptions for Consistency-Aware Story Illustration Multi-frame story illustration—the process of turning a narrative into a...
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