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As it is known war and rebellion are very common in Ethiopia due to internal and external factors. Since the ancient times governments and leaders in the country faced a variety of rebellions. Among the recent rebellions one is the rebellion led by G

Externí odkaz: https://doaj.org/article/91042f56a45440febd1142f91c536fe2

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Akademický článek

Corrigendum: Water Practice and Technology 1 April 2023; 18 (4): 947–966: Synthesis of activated carbon from banana peels for dye removal of an aqueous solution in textile industries: optimization, kinetics, and isotherm aspects. Talbachew Tadesse Nadew, Mestawot Keana, Tsegaye Sisay, Belay Getye, Nigus Gabbiye Habtu. https://doi.org/10.2166/wpt.2023.042

Publikováno v: Water Practice and Technology, Vol 18, Iss 10, Pp 2482-2482 (2023)

Externí odkaz: https://doaj.org/article/079841ae9857430b840337a3b350af04

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Akademický článek

The effect of administrative decentralization on quality public service delivery in Bahir Dar city administration: the case of Belay Zeleke sub-city

Autor: Besfat Engdaw

Publikováno v: Cogent Social Sciences, Vol 8, Iss 1 (2022)

This study assessed the effect of administrative decentralization on the quality of public service delivery in the Belay-Zeleke sub-city. To conduct the study, a survey data was collected from 100 samples. The participants were selected based on a sy

Externí odkaz: https://doaj.org/article/69f57c0f50a7452aabb71d6ec70b4e33

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Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understanding

Autor: Belay, Tadesse Destaw, Azime, Israel Abebe, Ayele, Abinew Ali, Sidorov, Grigori, Klakow, Dietrich, Slusallek, Philipp, Kolesnikova, Olga, Yimam, Seid Muhie

Large Language Models (LLMs) show promising learning and reasoning abilities. Compared to other NLP tasks, multilingual and multi-label emotion evaluation tasks are under-explored in LLMs. In this paper, we present EthioEmo, a multi-label emotion cla

Externí odkaz: http://arxiv.org/abs/2412.17837

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ProverbEval: Exploring LLM Evaluation Challenges for Low-resource Language Understanding

Autor: Azime, Israel Abebe, Tonja, Atnafu Lambebo, Belay, Tadesse Destaw, Chanie, Yonas, Balcha, Bontu Fufa, Abadi, Negasi Haile, Ademtew, Henok Biadglign, Nerea, Mulubrhan Abebe, Yadeta, Debela Desalegn, Geremew, Derartu Dagne, tesfau, Assefa Atsbiha, Slusallek, Philipp, Solorio, Thamar, Klakow, Dietrich

With the rapid development of evaluation datasets to assess LLMs understanding across a wide range of subjects and domains, identifying a suitable language understanding benchmark has become increasingly challenging. In this work, we explore LLM eval

Externí odkaz: http://arxiv.org/abs/2411.05049

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Directly Optimizing Explanations for Desired Properties

Autor: Tadesse, Hiwot Belay, Hüyük, Alihan, Pan, Weiwei, Doshi-Velez, Finale

When explaining black-box machine learning models, it's often important for explanations to have certain desirable properties. Most existing methods `encourage' desirable properties in their construction of explanations. In this work, we demonstrate

Externí odkaz: http://arxiv.org/abs/2410.23880

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Akademický článek

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