Co-occurring keywords · papers mentioning both
Papers
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training
EMNLP 2024
LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages
EMNLP 2024
Not All Tokens Are What You Need for Pretraining
NeurIPS 2024
NTTSU at WMT2024 General Translation Task
EMNLP 2024
Occiglot at WMT24: European Open-source Large Language Models Evaluated on Translation
EMNLP 2024
PECoP: Parameter Efficient Continual Pretraining for Action Quality Assessment
WACV 2024
Pre-training data selection for biomedical domain adaptation using journal impact metrics
ACL 2024
Pre-training Differentially Private Models with Limited Public Data
NeurIPS 2024
Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain
ACL 2024
Sailor: Open Language Models for South-East Asia
EMNLP 2024
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models
EMNLP 2024
Task Oriented In-Domain Data Augmentation
EMNLP 2024
Towards a Clean Text Corpus for Ottoman Turkish
ACL 2024
Unlocking the Potential of Model Merging for Low-Resource Languages
EMNLP 2024
A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya
AAAI 2023
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
ACL 2023
Continual Pre-training of Language Models
ICLR 2023
“Geen makkie”: Interpretable Classification and Simplification of Dutch Text Complexity
ACL 2023
Improving Knowledge Production Efficiency With Question Answering on Conversation
ACL 2023
Learning Multi-Step Reasoning by Solving Arithmetic Tasks
ACL 2023
Prompt Discriminative Language Models for Domain Adaptation
ACL 2023
Recyclable Tuning for Continual Pre-training
ACL 2023
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training
ACL 2023
Skill-it! A data-driven skills framework for understanding and training language models
NeurIPS 2023
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts
EMNLP 2023