Agents-K1: Towards Agent-native Knowledge Orchestration
Agents-K1: Towards Agent-native Knowledge Orchestration is a framework designed to transform raw scientific papers into structured, "agent-native" knowledge...
Explore Franklin AI
Understand new AI research with readable explanations and links to the original papers.
Agents-K1: Towards Agent-native Knowledge Orchestration is a framework designed to transform raw scientific papers into structured, "agent-native" knowledge...
MOSAIC: Modality-Specific Adaptation for Incremental Continual Learning in Parkinson’s Disease Gait Assessment Parkinson’s disease assessment relies on a var...
A Quantitative Experimental Repeated Measures Study of Training Dynamics in a Small Llama Style Language Model Under a Compute-Aware Token Budget This study...
MiniMax Sparse Attention (MSA) is a new approach designed to make ultra-long-context Large Language Models (LLMs) more efficient and practical to deploy.
Physics-Guided Spatiotemporal Learning for Coastal Wave Peak Period Estimation from Video This research introduces a new deep learning framework designed to...
Can I Buy Your KV Cache? Currently, AI agents waste massive amounts of computing power by repeatedly performing the same "prefill" step—the process of readin...
Neuro-Symbolic Agents for Regulated Process Automation: Challenges and Research Agenda This paper addresses the challenge of deploying AI agents in highly re...
Beyond Runtime Enforcement: Shield Synthesis as Defensibility Analysis for Adversarial Networks introduces a shift in how we use formal safety methods in cyb...
Reasoning as Pattern Matching: Shared Mechanisms in Human and LLM Everyday Reasoning This research investigates whether human reasoning and Large Language Mo...
Human-Enhanced Loop Modeling (HELM): Agent-Based Finite Element Modeling of Concrete Bridge Barriers Finite element (FE) modeling is essential for ensuring t...
Start with the overview to understand the paper’s main idea, then follow its original paper link for the methods, results and limitations.
Use Submit Research to send the original paper URL and explain why it is useful. An editor reviews the suggestion before publication.