Papers with micro language evolution path leverages unlabelled pairwise data

1 papers
MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim Verification (2024.findings-eacl)

Copied to clipboard

Challenge: Existing methods for verification of claims are limited by the availability of labeled data.
Approach: They propose a method that explores the alignment between a claim and its evidence using a seq2seq model and a novel semantic measure.
Outcome: The proposed method shows significant performance improvements over baselines SEED, PET and LLaMA 2 across three fact-checking datasets.

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