1 citations · 1 across the 4 of their papers we have counts for
4 papers
Sub-Billion, Super-Frontier: Small Language Models Rival Zero-Shot Frontier LLMs on General and Literary Relation Extraction
Despina Christou, Grigorios Tsoumakas
Large language models (LLMs) achieve strong relation extraction (RE), but their computational demands and reliance on proprietary APIs limit deployment in resource-constrained or p…
Review of Case-Based Reasoning for LLM Agents: Theoretical Foundations, Architectural Components, and Cognitive Integration
Kostas Hatalis, Despina Christou, Vyshnavi Kondapalli
Agents powered by Large Language Models (LLMs) have recently demonstrated impressive capabilities in various tasks. Still, they face limitations in tasks requiring specific, struct…
Improving Zero-Shot Entity Retrieval through Effective Dense Representations
Eleni Partalidou, Despina Christou, Grigorios Tsoumakas
Entity Linking (EL) seeks to align entity mentions in text to entries in a knowledge-base and is usually comprised of two phases: candidate generation and candidate ranking. While…
Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings
Despina Christou, Grigorios Tsoumakas
Distantly-supervised relation extraction (RE) is an effective method to scale RE to large corpora but suffers from noisy labels. Existing approaches try to alleviate noise through…