Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training

arXiv:2608.30609 · cs.CL, cs.AI, cs.LG · Submitted 2026-08-31 · Read on arXiv

cs.CL, cs.AI, cs.LG

Submitted: 2026-08-31

Updated: 2026-08-31

Code: https://github.com/EuroEval/EuroEval

Terminology

• Adaptation — 24× in this paper · explained in 1 episode
• Benchmark — 17× in this paper · explained in 2 episodes
• Fine-Tuning — 8× in this paper · explained in 5 episodes
• Continual Learning — 6× in this paper · explained in 2 episodes
• Domain Adaptation — 4× in this paper · explained in 5 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Catastrophic Forgetting — 3× in this paper · explained in 5 episodes
• Instruction Tuning — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Low-Resource Languages — 2× in this paper · explained in 4 episodes
• Model Merging — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Activation Checkpointing — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Annotation Errors — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 6 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Knut and Alice Wallenberg Foundation — 1× in this paper
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 9 episodes
• Named Entity Recognition (NER) — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes

Sources

• On Tiny Episodic Memories in Continual Learning
• EstLLM: Enhancing Estonian Capabilities in Multilingual LLMs via Continued Pretraining and Post-Training
• MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
• Grow Up and Merge: Scaling Strategies for Efficient Language Adaptation
• Continual Learning for Generative AI: From LLMs to MLLMs and Beyond
• Enhancing Training Efficiency Using Packing with Flash Attention
• Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs
• Family Matters: Language Transfer and Merging for Adapting Small LLMs to Faroese
• SweCTRL-Mini: a data-transparent Transformer-based large language model for controllable text generation in Swedish
• CFGPT: Chinese Financial Assistant with Large Language Model
• Ministral 3
• Domain-Specific Evaluation Strategies for AI in Journalism
• Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models
• Domain Adaptation of Llama3-70B-Instruct through Continual Pre-Training and Model Merging: A Comprehensive Evaluation
• Understanding the Effects of Domain Finetuning on LLMs
• MediaGPT : A Large Language Model For Chinese Media
• BloombergGPT: A Large Language Model for Finance

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