Papers with Event temporal graphs

1 papers
Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation (2024.naacl-long)

Copied to clipboard

Challenge: Existing methods for constructing event temporal graphs have been suboptimal . authors propose a set-aligning framework for the effective utilisation of Large Language Models .
Approach: They propose a set-aligning framework for the effective utilisation of Large Language Models to alleviate text generation loss penalties.
Outcome: The proposed framework surpasses existing baselines for event temporal graph generation.

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