SARESG prunes documents to aspect-relevant sentences via embedding similarity before LLM summarization, reporting gains over selective-context baselines on three datasets.
Short text topic modeling with topic distribution quantization and negative sampling decoder,
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Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation
SARESG prunes documents to aspect-relevant sentences via embedding similarity before LLM summarization, reporting gains over selective-context baselines on three datasets.