Papers with compression-based approach

1 papers
SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation (2025.findings-acl)

Copied to clipboard

Challenge: Existing process annotation approaches are computationally expensive.
Approach: They propose a compression-based approach that transforms reasoning steps into code and normalizes them through Abstract Syntax Tree.
Outcome: The proposed method outperforms existing methods on Best-of-N strategy and ProcessBench.

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