2 papers
cs.LG2026
OrionMoE-v1.0: A Mixture-of-Experts Foundation Model for Tabular In-Context Learning
Mohamed Bouadi, Nassim Bouarour, Aditya Tanna +1
Tabular foundation models enable in-context learning by predicting unseen observations from a labeled support table without task-specific parameter updates. Despite recent advances…
cs.CL2025
From Facts to Folklore: Evaluating Large Language Models on Bengali Cultural Knowledge
Nafis Chowdhury, Moinul Haque, Anika Ahmed +4
Recent progress in NLP research has demonstrated remarkable capabilities of large language models (LLMs) across a wide range of tasks. While recent multilingual benchmarks have adv…