Papers by Mohsin Kapdi

1 papers
AutoForest: Automatically Generating Forest Plots from Biomedical Studies with End-to-End Evidence Extraction and Synthesis (2026.acl-demo)

Copied to clipboard

Challenge: Existing systems that generate publication-ready forest plots from biomedical papers are fragmented and time-consuming.
Approach: They propose a system that generates publication-ready forest plots directly from biomedical papers . autoforest automatically suggests ICO elements, extracts outcome data and performs statistical synthesis . authors demonstrate how the system can accelerate evidence synthesis and lower the barrier to conducting meta-analyses .
Outcome: The proposed system accelerates evidence synthesis and lowers the barrier to meta-analyses.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations