arxiv
PublishedOctober 15, 2026 at 4:00 AM
Evaluating Large Language Models for Multilingual Abstractive Summarization: A Comprehensive Study of English and Bengali
Publisher summary· verbatim
arXiv:2610.19003v1 Announce Type: new Abstract: Abstractive summarization remains challenging across languages, where linguistic quality and factual consistency may diverge, particularly in low-resource settings. We present a standardized zero-shot benchmark of eight closed-source and open-weight LL
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivStructured Authority Injection: Persistent Human Control for LLM Agents via Typed MCP Overrides24marxivRethinking User Encoders: Routing Diffusion States for Scenario-Adaptive User Representation24marxivFrom Events to Reasoning: Hierarchical Rule Composition over Explicit States24marxivECHOES: Seeing Beyond the Current Image via Recursive History Compression and Privileged On-Policy Distillation24mThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗