Papers by Dionysis Kalogerias

1 papers
Learning Task Representations from In-Context Learning (2025.findings-acl)

Copied to clipboard

Challenge: Existing methods for generalizing tasks to modalities beyond text fail to generalize effectively to linguistic tasks.
Approach: They propose a method for encoding task information in ICL prompts as a function of attention heads within the transformer architecture.
Outcome: The proposed method extracts task-specific information from in-context demonstrations and excels in both text and regression tasks.

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