🎬 Ditch The Old Google Scholar — This AI Method Finds Papers 10x Faster
Video Details
Channel: Andy Stapleton URL: https://www.youtube.com/watch?v=qP7ukloRLCk Relevance: ⭐⭐⭐⭐
Summary
Demonstrates why Semantic Scholar outperforms Google Scholar for AI research: semantic search (finds papers even without exact keyword matches), influence scoring (identifies the most impactful papers), citation graph navigation, and automatic alert system for new papers in a field. Includes a live comparison finding PUMA-relevant papers.
PUMA Relevance
Motivates PUMA’s preference for Semantic Scholar over Google Scholar as the primary search engine. The influence scoring feature helped identify the key foundational papers in PUMA’s SLR (ReAct, MetaGPT, Cinkusz 2025). The automatic alerts are set up for ‘LLM agents project management’ to catch emerging papers.