#Research methodology

Articles (5)

• 🇺🇸 Quantifying the Accuracy and Cost Impact of Design Decisions in Budget-Constrained Agentic LLM Search — 11/03/2026 [USA]

  arXiv:2603.08877v1 Announce Type: new Abstract: Agentic Retrieval-Augmented Generation (RAG) systems combine iterative search, planning prompts, and retrieval backends, but deployed settings impose e...

  Related: #AI optimization, #Resource efficiency
• 🇺🇸 Deep Reinforcement Learning for Optimal Portfolio Allocation: A Comparative Study with Mean-Variance Optimization — 20/02/2026 [USA]

  arXiv:2602.17098v1 Announce Type: cross Abstract: Portfolio Management is the process of overseeing a group of investments, referred to as a portfolio, with the objective of achieving predetermined i...

  Related: #Quantitative finance, #Portfolio management, #Deep reinforcement learning, #Mean‑variance optimization
• 🇺🇸 Bench-MFG: A Benchmark Suite for Learning in Stationary Mean Field Games — 16/02/2026 [USA]

  arXiv:2602.12517v1 Announce Type: cross Abstract: The intersection of Mean Field Games (MFGs) and Reinforcement Learning (RL) has fostered a growing family of algorithms designed to solve large-scale...

  Related: #Standardization, #Multi-agent systems
• 🇺🇸 Quantifying Model Uniqueness in Heterogeneous AI Ecosystems — 16/02/2026 [USA]

  arXiv:2601.22977v2 Announce Type: replace Abstract: As AI systems evolve from isolated predictors into complex, heterogeneous ecosystems of foundation models and specialized adapters, distinguishing ...

  Related: #AI governance, #Model evaluation
• 🇺🇸 Scaling social science research — 13/02/2026 [USA]

  GABRIEL is a new open-source toolkit from OpenAI that uses GPT to turn qualitative text and images into quantitative data, helping social scientists analyze research at scale.

  Related: #Technology innovation, #Data analysis