activity
20222025
most citedMaking a MIRACL: Multilingual Information Retrieval Across a Continuum of Languages

12 citations · 32 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CL2025

Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures

Tyler A. Chang, Catherine Arnett, Abdelrahman Sadallah +377

To date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we pre…

cs.CL2025

Improving Multilingual Math Reasoning for African Languages

Odunayo Ogundepo, Akintunde Oladipo, Kelechi Ogueji +3

Researchers working on low-resource languages face persistent challenges due to limited data availability and restricted access to computational resources. Although most large lang…

cs.CL2023★ 1 cited

"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation

Nandan Thakur, Luiz Bonifacio, Xinyu Zhang +8

Retrieval-Augmented Generation (RAG) grounds Large Language Model (LLM) output by leveraging external knowledge sources to reduce factual hallucinations. However, prior work lacks…

cs.CL2023

GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration

Aleksandra Piktus, Odunayo Ogundepo, Christopher Akiki +6

Noticing the urgent need to provide tools for fast and user-friendly qualitative analysis of large-scale textual corpora of the modern NLP, we propose to turn to the mature and wel…

cs.CL2023★ 8 cited

AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages

Odunayo Ogundepo, Tajuddeen R. Gwadabe, Clara E. Rivera +49

African languages have far less in-language content available digitally, making it challenging for question answering systems to satisfy the information needs of users. Cross-lingu…

cs.IR2023

Evaluating Embedding APIs for Information Retrieval

Ehsan Kamalloo, Xinyu Zhang, Odunayo Ogundepo +4

The ever-increasing size of language models curtails their widespread availability to the community, thereby galvanizing many companies into offering access to large language model…

cs.IR2023★ 3 cited

Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval

Jimmy Lin, David Alfonso-Hermelo, Vitor Jeronymo +8

The advent of multilingual language models has generated a resurgence of interest in cross-lingual information retrieval (CLIR), which is the task of searching documents in one lan…

cs.CL2023★ 4 cited

MasakhaNEWS: News Topic Classification for African languages

David Ifeoluwa Adelani, Marek Masiak, Israel Abebe Azime +62

African languages are severely under-represented in NLP research due to lack of datasets covering several NLP tasks. While there are individual language specific datasets that are…

cs.IR2023★ 1 cited

Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face

Christopher Akiki, Odunayo Ogundepo, Aleksandra Piktus +4

We present Spacerini, a tool that integrates the Pyserini toolkit for reproducible information retrieval research with Hugging Face to enable the seamless construction and deployme…

cs.CL2022★ 3 cited

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder +42

African languages are spoken by over a billion people, but are underrepresented in NLP research and development. The challenges impeding progress include the limited availability o…

cs.IR2022★ 12 cited

Making a MIRACL: Multilingual Information Retrieval Across a Continuum of Languages

Xinyu Zhang, Nandan Thakur, Odunayo Ogundepo +6

MIRACL (Multilingual Information Retrieval Across a Continuum of Languages) is a multilingual dataset we have built for the WSDM 2023 Cup challenge that focuses on ad hoc retrieval…

cs.CL2022

Better Than Whitespace: Information Retrieval for Languages without Custom Tokenizers

Odunayo Ogundepo, Xinyu Zhang, Jimmy Lin

Tokenization is a crucial step in information retrieval, especially for lexical matching algorithms, where the quality of indexable tokens directly impacts the effectiveness of a r…