Folder: 20---Research/Papers

Sep 24, 2026

Re-TACRED: Addressing Shortcomings of the TACRED Dataset

Sep 24, 2026

Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction

Sep 24, 2026

Sentence Embedding Alignment for Lifelong Relation Extraction

Sep 24, 2026

Serial Contrastive Knowledge Distillation for Continual Few-shot Relation Extraction

Sep 24, 2026

The Power of Scale for Parameter-Efficient Prompt Tuning

Sep 24, 2026

WAVE++: Capturing Within-Task Variance for Continual Relation Extraction with Adaptive Prompting

Sep 24, 2026

iCaRL: Incremental Classifier and Representation Learning

Sep 24, 2026

An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction

Sep 24, 2026

Attention Is All You Need

Sep 24, 2026

CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning

Sep 24, 2026

Consistent Prompting for Rehearsal-Free Continual Learning

Sep 24, 2026

Consistent Prototype Learning for Few-Shot Continual Relation Extraction

Sep 24, 2026

Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation

Sep 24, 2026

Continual Relation Learning via Episodic Memory Activation and Reconsolidation

Sep 24, 2026

Dark Experience for General Continual Learning: a Strong, Simple Baseline

Sep 24, 2026

Distilling the Knowledge in a Neural Network

Sep 24, 2026

DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning

Sep 24, 2026

Dynamic-prototype Contrastive Fine-tuning for Continual Few-shot Relation Extraction with Unseen Relation Detection

Sep 24, 2026

Enhancing Discriminative Representation in Similar Relation Clusters for Few-Shot Continual Relation Extraction

Sep 24, 2026

FPrompt-PLM: Flexible-Prompt on Pretrained Language Model for Continual Few-Shot Relation Extraction

Sep 24, 2026

Few-Shot, No Problem: Descriptive Continual Relation Extraction

Sep 24, 2026

FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation

Sep 24, 2026

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality

Sep 24, 2026

Hierarchical Prompts for Rehearsal-free Continual Learning

Sep 24, 2026

Learning to Prompt for Continual Learning

Sep 24, 2026

Learning without Forgetting

Sep 24, 2026

MPBoCo: Multimodal Prompt-based Boundary-enhanced Continual Framework for Joint Entity and Relation Extraction

Sep 24, 2026

Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors

Sep 24, 2026

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Sep 24, 2026

Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction

Sep 24, 2026

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Sep 24, 2026

Prefix-Tuning: Optimizing Continuous Prompts for Generation

Sep 24, 2026

Progressive Prompts: Continual Learning for Language Models

Sep 24, 2026

Quartz 4

Explorer

Folder: 20---Research/Papers

Re-TACRED: Addressing Shortcomings of the TACRED Dataset

Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction

Sentence Embedding Alignment for Lifelong Relation Extraction

Serial Contrastive Knowledge Distillation for Continual Few-shot Relation Extraction

The Power of Scale for Parameter-Efficient Prompt Tuning

WAVE++: Capturing Within-Task Variance for Continual Relation Extraction with Adaptive Prompting

iCaRL: Incremental Classifier and Representation Learning

An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction

Attention Is All You Need

CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning

Consistent Prompting for Rehearsal-Free Continual Learning

Consistent Prototype Learning for Few-Shot Continual Relation Extraction

Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation

Continual Relation Learning via Episodic Memory Activation and Reconsolidation

Dark Experience for General Continual Learning: a Strong, Simple Baseline

Distilling the Knowledge in a Neural Network

DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning

Dynamic-prototype Contrastive Fine-tuning for Continual Few-shot Relation Extraction with Unseen Relation Detection

Enhancing Discriminative Representation in Similar Relation Clusters for Few-Shot Continual Relation Extraction

FPrompt-PLM: Flexible-Prompt on Pretrained Language Model for Continual Few-Shot Relation Extraction

Few-Shot, No Problem: Descriptive Continual Relation Extraction

FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality

Hierarchical Prompts for Rehearsal-free Continual Learning

Learning to Prompt for Continual Learning

Learning without Forgetting

MPBoCo: Multimodal Prompt-based Boundary-enhanced Continual Framework for Joint Entity and Relation Extraction

Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Prefix-Tuning: Optimizing Continuous Prompts for Generation

Progressive Prompts: Continual Learning for Language Models

Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective