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Research & Development
Bridging Language and Logic: How AI Models Tackle Complex Optimization Problems
TLDR: This research paper critically examines the ability of Large Language Models (LLMs) to formulate and solve decision-making problems using mathematical programming. Through a...
Research & Development
ST-Raptor: A New AI Framework for Understanding Complex Tables
TLDR: ST-Raptor is a novel AI framework that uses Large Language Models (LLMs) to accurately answer natural language questions over complex semi-structured tables, like...
Research & Development
Adaptive Command: AI Language Models Enhance StarCraft II Strategy
TLDR: Adaptive Command is a new framework that integrates large language models (LLMs) with behavior trees to provide real-time, natural language-based strategic advice and...
Research & Development
GreenTEA: An Agentic Workflow for Automated LLM Prompt Optimization
TLDR: GreenTEA is an agentic LLM workflow that automatically optimizes prompts for Large Language Models. It uses a collaborative team of agents: an analyzing...
Research & Development
Unlocking Accurate Traffic Forecasts with Retrieval-Augmented Spatio-Temporal Modeling
TLDR: RAST is a novel framework for traffic prediction that integrates retrieval-augmented mechanisms with spatio-temporal modeling. Inspired by RAG in large language models, RAST...
Research & Development
Adaptive Memory Framework Enhances LLM Agent Performance
TLDR: A new adaptive and data-driven memory framework optimizes LLM-based agents by modeling memory cycles. It features an MoE gate for retrieval, a learnable...