565 citations · 720 across the 43 of their papers we have counts for
47 papers
Measuring Research Progress and Linguistic Inclusion in Low-Resource Languages
Atnafu Lambebo Tonja, Tadesse Destaw Belay, Jesujoba Oluwadara Alabi +6
Large Language Models (LLMs) have accelerated research on low-resource and multilingual NLP, but their effectiveness in creating an equitable landscape remains unmapped. We analyze…
Ordered frequency in relatively hyperbolic groups
Dominic Bair
We study word frequencies along infinite strings whose finite prefixes lie in a regular language of geodesic representatives of group elements. Let \((G,\mathcal H)\) be a non-elem…
AfriGuard: Safety and Robust Refusal For African Languages
Israel Abebe Azime, Jesujoba O. Alabi, Iffat Maab +20
Large language models (LLMs) designed to interact with users are typically trained to respond appropriately to harmful or toxic content. However, ensuring appropriate responses bec…
Cultivar: A Contrastive and Locale-Oriented Translation Benchmark for Investigating Contamination and Localisation Robustness
Pinzhen Chen, Koel Dutta Chowdhury, Xiaoya Xu +20
Multilingual translation benchmarks are typically sourced in English and translated into other languages, treating language pairs as the unit of evaluation---a design that is prone…
From Monolingual to Multilingual: Evaluating Mamba for ASR in South African Languages
Jesujoba O. Alabi, Julian Herreilers, Badr M. Abdullah +1
Recent advances in automatic speech recognition (ASR) have explored different sequence models, including Conformer-based models and newer state space models such as Mamba. Although…
A Mechanistic Understanding of Pronoun Fidelity in LLMs
Katharina Trinley, Jesujoba O. Alabi, Dietrich Klakow +1
Faithful and robust pronoun use is important for fair and coherent generations, yet large language models largely fail when multiple referents use different pronouns. To study the…
OpenBibleTTS: Large-Scale Speech Resources and TTS Models for Low-Resource Languages
David Guzmán, Luel Hagos Beyene, Jesujoba Oluwadara Alabi +3
Recent advances in neural text-to-speech (TTS) and multilingual speech generation have substantially improved synthetic speech quality, yet these gains remain unevenly distributed…
AfrIFact: Cultural Information Retrieval, Evidence Extraction and Fact Checking for African Languages
Israel Abebe Azime, Jesujoba Oluwadara Alabi, Crystina Zhang +16
Assessing the veracity of a claim made online is a complex and important task with real-world implications. When these claims are directed at communities with limited access to inf…
Saar-Voice: A Multi-Speaker Saarbrücken Dialect Speech Corpus
Lena S. Oberkircher, Jesujoba O. Alabi, Dietrich Klakow +1
Natural language processing (NLP) and speech technologies have made significant progress in recent years; however, they remain largely focused on standardized language varieties. D…
YoNER: A New Yorùbá Multi-domain Named Entity Recognition Dataset
Peace Busola Falola, Jesujoba O. Alabi, Solomon O. Akinola +3
Named Entity Recognition (NER) is a foundational NLP task, yet research in Yorùbá has been constrained by limited and domain-specific resources. Existing resources, such as Masakha…
Ethio-ASR: Joint Multilingual Speech Recognition and Language Identification for Ethiopian Languages
Badr M. Abdullah, Israel Abebe Azime, Atnafu Lambebo Tonja +14
We present Ethio-ASR, a suite of multilingual CTC-based automatic speech recognition (ASR) models jointly trained on five Ethiopian languages: Amharic, Tigrinya, Oromo, Sidaama, an…
Afri-MCQA: Multimodal Cultural Question Answering for African Languages
Atnafu Lambebo Tonja, Srija Anand, Emilio Villa-Cueva +16
Africa is home to over one-third of the world's languages, yet remains underrepresented in AI research. We introduce Afri-MCQA, the first Multilingual Cultural Question-Answering b…
CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data
Pedro Ortiz Suarez, Laurie Burchell, Catherine Arnett +94
Language identification (LID) is a fundamental step in curating multilingual corpora. However, LID models still perform poorly for many languages, especially on the noisy and heter…
TRepLiNa: Layer-wise CKA+REPINA Alignment Improves Low-Resource Machine Translation in Aya-23 8B
Toshiki Nakai, Ravi Kiran Chikkala, Lena Sophie Oberkircher +4
The 2025 Multimodal Models for Low-Resource Contexts and Social Impact (MMLoSo) Language Challenge addresses one of India's most pressing linguistic gaps: the lack of resources for…
MERLIN: Multi-Stage Curriculum Alignment for Multilingual Encoder-LLM Integration in Cross-Lingual Reasoning
Kosei Uemura, David Guzmán, Quang Phuoc Nguyen +3
Large language models excel in English but still struggle with complex reasoning in many low-resource languages (LRLs). Existing encoder-plus-decoder methods such as LangBridge and…
mSTEB: Massively Multilingual Evaluation of LLMs on Speech and Text Tasks
Luel Hagos Beyene, Vivek Verma, Min Ma +4
Large Language models (LLMs) have demonstrated impressive performance on a wide range of tasks, including in multimodal settings such as speech. However, their evaluation is often…
Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead
Jesujoba O. Alabi, Michael A. Hedderich, David Ifeoluwa Adelani +1
With over 2,000 languages and potentially millions of speakers, Africa represents one of the richest linguistic regions in the world. Yet, this diversity is scarcely reflected in s…
INJONGO: A Multicultural Intent Detection and Slot-filling Dataset for 16 African Languages
Hao Yu, Jesujoba O. Alabi, Andiswa Bukula +19
Slot-filling and intent detection are well-established tasks in Conversational AI. However, current large-scale benchmarks for these tasks often exclude evaluations of low-resource…
AFRIDOC-MT: Document-level MT Corpus for African Languages
Jesujoba O. Alabi, Israel Abebe Azime, Miaoran Zhang +13
This paper introduces AFRIDOC-MT, a document-level multi-parallel translation dataset covering English and five African languages: Amharic, Hausa, Swahili, Yorùbá, and Zulu. The da…
YAD: Leveraging T5 for Improved Automatic Diacritization of Yorùbá Text
Akindele Michael Olawole, Jesujoba O. Alabi, Aderonke Busayo Sakpere +1
In this work, we present Yorùbá automatic diacritization (YAD) benchmark dataset for evaluating Yorùbá diacritization systems. In addition, we pre-train text-to-text transformer, T…
Uhura: A Benchmark for Evaluating Scientific Question Answering and Truthfulness in Low-Resource African Languages
Edward Bayes, Israel Abebe Azime, Jesujoba O. Alabi +11
Evaluations of Large Language Models (LLMs) on knowledge-intensive tasks and factual accuracy often focus on high-resource languages primarily because datasets for low-resource lan…
AfriHuBERT: A self-supervised speech representation model for African languages
Jesujoba O. Alabi, Xuechen Liu, Dietrich Klakow +1
In this work, we present AfriHuBERT, an extension of mHuBERT-147, a compact self-supervised learning (SSL) model pretrained on 147 languages. While mHuBERT-147 covered 16 African l…
IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models
David Ifeoluwa Adelani, Jessica Ojo, Israel Abebe Azime +24
Despite the widespread adoption of Large language models (LLMs), their remarkable capabilities remain limited to a few high-resource languages. Additionally, many low-resource lang…
EkoHate: Abusive Language and Hate Speech Detection for Code-switched Political Discussions on Nigerian Twitter
Comfort Eseohen Ilevbare, Jesujoba O. Alabi, David Ifeoluwa Adelani +3
Nigerians have a notable online presence and actively discuss political and topical matters. This was particularly evident throughout the 2023 general election, where Twitter was u…