arXiv Machine Learning August 12, 2026 By Khan Raiyan Ibne Reza, Sumaiya Tabassum Nimi, Omar Ibne Shahid

KrishokChat: A Provenance-Traceable Multi-Task Bengali Agricultural Benchmark with Safety-Critical Chemical Advisory

Read the original on arXiv Machine Learning →

arXiv:2606. 29243v2 Announce Type: replace Abstract: We introduce KrishokChat, an 85,979-instance Bengali agricultural benchmark built from 284 government publications, 13 institutions, and six regional dialects.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv Machine Learning

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KrishokChat: A Citation-Grounded Dataset and Benchmark for Bengali Agricultural Advisory

Fine-Tuning General-Purpose Large Language Models for Agricultural Applications:A Reproducible Framework and Evaluation Protocol Based on Qwen3-8B

BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali

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