AI for Literature Reviews & Reference Management: What Works
Автор: Moara
Загружено: 2026-01-23
Просмотров: 28
Описание:
A walkthrough of our new op-ed on Scholarly Kitchen, co-authored with William Gunn - early Mendeley employee and expert on reference management and research reproducibility.
We dig into what researchers actually need from AI tools, where current products fall short, and what use cases are genuinely durable.
What's covered:
→ What researchers want (finding literature, understanding paper relationships, citing without formatting headaches)
→ Where AI falls short (summarizing the same 10 papers, hallucinated citations, no reproducibility)
→ What actually works (structured extraction, enriched metadata, transparent sourcing, team collaboration)
→ Why "if it could ship as a ChatGPT feature next month, it's just not enough"
Read the full article:
https://scholarlykitchen.sspnet.org/2...
00:00 Introduction
00:38 Article overview and history of reference management
02:36 What researchers actually want
04:00 Where AI falls short
05:42 What actually works
08:01 Why simple ChatGPT wrappers aren't enough
09:09 What we're building at moara.io
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке:
