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AI research workflows tested: LLM slightly trails PhD student

A new research paper explores the effectiveness of AI-assisted workflows in economic computer science. The study investigates whether providing human intuition in prompts and employing multi-turn interactions enhances LLM performance. Findings suggest that human intuition improves an LLM's 'taste,' and ambitious multi-turn workflows are beneficial. However, when compared to a first-year PhD student's output on an unpublished manuscript, the LLM was found to be slightly less effective. AI

IMPACT This research provides insights into optimizing AI-assisted workflows for academic tasks, suggesting potential improvements for LLM integration in research environments.

RANK_REASON The cluster contains an academic paper published on arXiv detailing research findings.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Sara Fish ·

    Stable Menus of Public Goods: AI-Enabled Progress

    arXiv:2606.16989v1 Announce Type: cross Abstract: Using an open problem from the EC 2025 paper "Stable Menus of Public Goods" as a testbed, we conduct experiments to understand the effectiveness of different AI-for-EconCS research workflows. Specifically, we study three questions…

  2. arXiv cs.AI TIER_1 English(EN) · Sara Fish ·

    Stable Menus of Public Goods: AI-Enabled Progress

    Using an open problem from the EC 2025 paper "Stable Menus of Public Goods" as a testbed, we conduct experiments to understand the effectiveness of different AI-for-EconCS research workflows. Specifically, we study three questions: Does providing human intuition in the prompt hel…