Hugging Face Trending Papers June 2, 2026

From Script to Semantics: Prompting Strategies for African NLI

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Large language models (LLMs) are increasingly evaluated in multilingual settings, yet their inference behavior in low-resource African languages remains underexplored especially under pure prompting without fine-tuning. We present a systematic study of prompting strategies for Natural Language Inference (NLI) in Swahili, Yoruba, and Hausa using the AfriXNLI benchmark.

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arXiv Machine Learning

Jun 3

From Script to Semantics: Prompting Strategies for African NLI

arXiv:2606. 03304v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly evaluated in multilingual settings, yet their inference behavior in low-resource African languages remains underexplored especially under pure prompting without fine-tuning.

By Anuj Tiwari, Terry Oko-odion, Hannah Nwokocha

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arXiv AI

Jul 8

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arXiv Computation and Language

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Assessing Readability with LLMs: The Role of Reasoning and Few-Shot Prompting

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arXiv AI

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By Inder Preet, Shuxin Lin, Dhaval Patel

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arXiv AI

Jul 22

Inference-Time Steering for Cross-Lingual Factual Consistency in LLMs

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By Alexander Manev

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arXiv Computation and Language

Sep 4

To What Extent Do Large Language Models Understand Bangla Idioms?

The paper introduces the first large‑scale benchmark dataset of Bangla idioms, along with a synthetic multiple‑choice question set for idiom meaning identification. It evaluates recent large language models on three idiom‑related tasks—paraphrasing, idiom span detection, and meaning identification—using zero‑shot and few‑shot prompting. Results show significant variability across models, with Phi‑4‑mini‑instruct best at paraphrasing, Kimi‑K2‑32b‑instruct excelling at span detection, and Gemini‑2.5‑flash leading in meaning identification.

By Mousumi Akter, Md. Faiyaz Abdullah Sayeedi, Nurul Labib Sayeedi, Swakkhar Shatabda

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From Script to Semantics: Prompting Strategies for African NLI

Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs

Assessing Readability with LLMs: The Role of Reasoning and Few-Shot Prompting

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To What Extent Do Large Language Models Understand Bangla Idioms?