Article

SumLLM: Performance Evaluation and the Judgment of Large Language Models in Bengali Abstractive News Summarization

2025-12-24

Abstract excerpt

Bengali abstractive summarization has long been hindered by noisy, limited-quality reference datasets and limited evaluation methods. Prior benchmarks reported apparent strong performance, yet relied on small-scale human studies and reference-based metrics, both of which underestimate the generative capacity of modern LLMs. In this paper, we revisit Bangla summarization under zero-shot conditions, evaluating six r...

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Literature Corpus work: 2f628b49-6329-566a-9755-7d52d2c32d7b
DOI: 10.20944/preprints202512.2210.v1

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