Explore Franklin AI
Understand new AI research with readable explanations and links to the original papers.
Urban community planning often relies on top-down strategies that fail to account for the spontaneous ways residents actually use public spaces.
MentalHospital: A Virtual Environment for Evaluating Psychiatric Clinical Encounters Large language models (LLMs) have shown promise in specific psychiatric...
Different Teachers, Different Capabilities: Sub-1B On-Device Distillation for Structured Text Enrichment This paper investigates how to effectively "distill"...
Playing ZendoWorld: Challenging AI Agents on Active Visual Concept Induction Building truly intelligent AI requires more than just recognizing patterns in st...
MobiDiff: Semantic-Aware Multi-Channel Discrete Diffusion for Human Mobility Data Generation Human mobility data—records of where people go and what activiti...
SolarChain-Eval is a new research benchmark designed to evaluate how autonomous AI agents perform when managing decentralized energy markets.
Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows proposes a new way to handle complex AI workflows.
INTENT: An LSTM Framework for Vehicle Intention Prediction in Intersection Scenarios with Comprehensive Ablation Analysis Predicting the behavior of other ve...
This research investigates how to effectively combine different types of data—such as text, audio, and facial expressions—for emotion and sentiment recogniti...
AutoPersonas: A Multi-Timescale Loop Engine for Open-Ended Persona Evolution explores how to create AI agents that maintain a consistent identity while conti...
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