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Research & Development
Unlocking Deeper Insights into Brain Visual Decoding with a New Multigranular Evaluation Framework
TLDR: Researchers introduce BASIC, a new evaluation framework for brain visual decoding that offers a more detailed and interpretable assessment of reconstructed images. Unlike...
Research & Development
Empowering AI Vision with Self-Generated Code: An Insight into PyVision
TLDR: PyVision is a novel agentic framework that enables multimodal large language models (MLLMs) to dynamically generate and execute Python code for visual reasoning...
Research & Development
Enhancing Game NPC Trading with Context-Aware AI Dialogue
TLDR: State-Inference-Based Prompting (SIBP) is a new methodology that enables Large Language Models (LLMs) to handle rule-governed trading interactions in games reliably. It achieves...
Research & Development
Uncovering Illicit Labor: A Neurosymbolic Approach to Supply Chain Analysis
TLDR: This research explores neurosymbolic methods, combining large language models (LLMs) with formal reasoning, to identify forced labor in complex supply chains. It details...
Research & Development
DrugMCTS: A New AI Framework for Drug Repurposing with Enhanced Reasoning
TLDR: DrugMCTS is a novel AI framework for drug repurposing that integrates multi-agent collaboration, Retrieval-Augmented Generation (RAG), and Monte Carlo Tree Search (MCTS). It...
Research & Development
Unpacking Trust in Rule-Based AI Models
TLDR: A new research paper by Mohamed Siala, Jordi Planes, and Joao Marques-Silva reveals that even seemingly 'interpretable' rule-based AI models often produce untrustworthy...