Cover Image

Post-Training Language Models for Continual Relation Extraction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Efeoglu, Sefika, Paschke, Adrian, Schimmler, Sonja
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks
by: Efeoglu, Sefika, et al.
Published: (2024)

Retrieval-Augmented Generation-based Relation Extraction
by: Efeoglu, Sefika, et al.
Published: (2024)

Fine-Grained Named Entities for Corona News
by: Efeoglu, Sefika, et al.
Published: (2024)

A Continual Relation Extraction Approach for Knowledge Graph Completeness
by: Efeoglu, Sefika
Published: (2024)

Converter: Enhancing Interoperability in Research Data Management
by: Efeoglu, Sefika, et al.
Published: (2024)

GraphMatcher: A Graph Representation Learning Approach for Ontology Matching
by: Efeoglu, Sefika
Published: (2024)

Social Bias in Popular Question-Answering Benchmarks
by: Kraft, Angelie, et al.
Published: (2025)

Generating Diverse Training Samples for Relation Extraction with Large Language Models
by: Li, Zexuan, et al.
Published: (2025)

CoT-TL: Low-Resource Temporal Knowledge Representation of Planning Instructions Using Chain-of-Thought Reasoning
by: Manas, Kumar, et al.
Published: (2024)

Improving Hate Speech Classification with Cross-Taxonomy Dataset Integration
by: Fillies, Jan, et al.
Published: (2025)

NERdME: a Named Entity Recognition Dataset for Indexing Research Artifacts in Code Repositories
by: Gesese, Genet Asefa, et al.
Published: (2026)

ToxiGAN: Toxic Data Augmentation via LLM-Guided Directional Adversarial Generation
by: Li, Peiran, et al.
Published: (2026)

M-BRe: Discovering Training Samples for Relation Extraction from Unlabeled Texts with Large Language Models
by: Li, Zexuan, et al.
Published: (2025)

Revisiting Relation Extraction in the era of Large Language Models
by: Wadhwa, Somin, et al.
Published: (2023)

Preserving Generalization of Language models in Few-shot Continual Relation Extraction
by: Tran, Quyen, et al.
Published: (2024)

Few-Shot, No Problem: Descriptive Continual Relation Extraction
by: Thanh, Nguyen Xuan, et al.
Published: (2025)

Small Language Models as Effective Guides for Large Language Models in Chinese Relation Extraction
by: Tang, Xuemei, et al.
Published: (2024)

Knowledge-augmented Pre-trained Language Models for Biomedical Relation Extraction
by: Sänger, Mario, et al.
Published: (2025)

Decomposition-Enhanced Training for Post-Hoc Attributions In Language Models
by: Balasubramanian, Sriram, et al.
Published: (2025)

Post-Training Language Models for Crosslingual Consistency
by: Liu, Tianyu, et al.
Published: (2026)

Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models
by: Ozyurt, Yilmazcan, et al.
Published: (2023)

LLM-OREF: An Open Relation Extraction Framework Based on Large Language Models
by: Tu, Hongyao, et al.
Published: (2025)

Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction
by: Zhou, Sizhe, et al.
Published: (2024)

Tulu 3: Pushing Frontiers in Open Language Model Post-Training
by: Lambert, Nathan, et al.
Published: (2024)

GETAE: Graph information Enhanced deep neural NeTwork ensemble ArchitecturE for fake news detection
by: Truică, Ciprian-Octavian, et al.
Published: (2024)

Empirical Analysis of Dialogue Relation Extraction with Large Language Models
by: Li, Guozheng, et al.
Published: (2024)

Prompting Large Language Models for Clinical Temporal Relation Extraction
by: He, Jianping, et al.
Published: (2024)

Training Language Models with homotokens Leads to Delayed Overfitting
by: Cosma, Adrian, et al.
Published: (2026)

Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction
by: Ding, Zepeng, et al.
Published: (2024)

WAVE++: Capturing Within-Task Variance for Continual Relation Extraction with Adaptive Prompting
by: Dao, Bao-Ngoc, et al.
Published: (2025)

Relation Extraction or Pattern Matching? Unravelling the Generalisation Limits of Language Models for Biographical RE
by: Arzt, Varvara, et al.
Published: (2025)

How Important is Domain Specificity in Language Models and Instruction Finetuning for Biomedical Relation Extraction?
by: Brokman, Aviv, et al.
Published: (2024)

Breaking the Script Barrier in Multilingual Pre-Trained Language Models with Transliteration-Based Post-Training Alignment
by: Xhelili, Orgest, et al.
Published: (2024)

Steering Information Utility in Key-Value Memory for Language Model Post-Training
by: Deng, Chunyuan, et al.
Published: (2025)

AutoRE: Document-Level Relation Extraction with Large Language Models
by: Xue, Lilong, et al.
Published: (2024)

Small Languages, Big Models: A Study of Continual Training on Languages of Norway
by: Samuel, David, et al.
Published: (2024)

Assessing Robustness to Spurious Correlations in Post-Training Language Models
by: Shuieh, Julia, et al.
Published: (2025)

Aggressive Post-Training Compression on Extremely Large Language Models
by: Zhang, Zining, et al.
Published: (2024)

Scaling Laws for Post Training Quantized Large Language Models
by: Xu, Zifei, et al.
Published: (2024)

Mapping Toxic Comments Across Demographics: A Dataset from German Public Broadcasting
by: Fillies, Jan, et al.
Published: (2025)