Loss-Based Active Learning for Neural Abstractive Summarization

arXiv:2608.25881 · cs.CL · Submitted 2026-08-26 · Read on arXiv

cs.CL

Submitted: 2026-08-26

Updated: 2026-08-26

Terminology

• Active Learning — 56× in this paper · explained in 6 episodes
• Benchmark — 10× in this paper · explained in 2 episodes
• Transformer — 8× in this paper · explained in 2 episodes
• Fine-Tuning — 7× in this paper · explained in 5 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Embeddings — 6× in this paper · explained in 2 episodes
• Core — 4× in this paper · explained in 2 episodes
• Semantic Similarity — 4× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Bayesian Active Summarization — 2× in this paper
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Acquisition Function — 1× in this paper · explained in 1 episode
• Active Learning Strategy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• GPT-4 Technical Report
• DUAL: Diversity and Uncertainty Active Learning for Text Summarization
• Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers

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