---
title: "Workshop on Scaling Up Multilingual Evaluation 2022"
description: "Workshop on Scaling Up Multilingual Evaluation 2022 — accepted papers: 1 paper in the Elamur Research library (Online), with our…"
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# Workshop on Scaling Up Multilingual Evaluation 2022 — accepted papers

Workshop on Scaling Up Multilingual Evaluation 2022 is the 2022 edition of the Workshop on Scaling Up Multilingual Evaluation, held in Online, November 2022 (publisher: Association for Computational Linguistics). The ACL Anthology lists 5 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Online · 🗓 November 2022

[**5** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/sumeval/2022/#works) · [**104** citations of these works](https://md.research.elamur.ai/free/en/venues/sumeval/2022/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[NTREX-128 – News Test References for MT Evaluation of 128 Languages](https://md.research.elamur.ai/free/en/papers/federmann-2022-ntrex-128-news-test-references/)**Christian Federmann, Tom Kocmi, Ying Xin*17 citations · our summary*
2. **[IndoRobusta: Towards Robustness Against Diverse Code-Mixed Indonesian Local Languages ↗](https://aclanthology.org/2022.sumeval-1.5/)**Muhammad Farid Adilazuarda, Samuel Cahyawijaya, Genta Indra Winata et al.*8 citations*
3. **[The SUMEval 2022 Shared Task on Performance Prediction of Multilingual Pre-trained Language Models ↗](https://aclanthology.org/2022.sumeval-1.1/)**Kabir Ahuja, Antonios Anastasopoulos, Barun Patra et al.*1 citation*
4. **[To Train or Not to Train: Predicting the Performance of Massively Multilingual Models ↗](https://aclanthology.org/2022.sumeval-1.2/)**Shantanu Patankar, Omkar Gokhale, Onkar Litake et al.*1 citation*

## All accepted papers (5)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[NTREX-128 – News Test References for MT Evaluation of 128 Languages](https://md.research.elamur.ai/free/en/papers/federmann-2022-ntrex-128-news-test-references/)**Christian Federmann, Tom Kocmi, Ying Xin*17 citations · our summary*
2. **[IndoRobusta: Towards Robustness Against Diverse Code-Mixed Indonesian Local Languages ↗](https://aclanthology.org/2022.sumeval-1.5/)**Muhammad Farid Adilazuarda, Samuel Cahyawijaya, Genta Indra Winata et al.*8 citations*
3. **[The SUMEval 2022 Shared Task on Performance Prediction of Multilingual Pre-trained Language Models ↗](https://aclanthology.org/2022.sumeval-1.1/)**Kabir Ahuja, Antonios Anastasopoulos, Barun Patra et al.*1 citation*
4. **[To Train or Not to Train: Predicting the Performance of Massively Multilingual Models ↗](https://aclanthology.org/2022.sumeval-1.2/)**Shantanu Patankar, Omkar Gokhale, Onkar Litake et al.*1 citation*
5. **[The GMU System Submission for the SUMEval 2022 Shared Task ↗](https://aclanthology.org/2022.sumeval-1.3/)**Syeda Sabrina Akter, Antonios Anastasopoulos

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[NTREX-128 – News Test References for MT Evaluation of 128 Languages](https://md.research.elamur.ai/free/en/papers/federmann-2022-ntrex-128-news-test-references/) [Workshop on Scaling Up Multilingual Evaluation](https://md.research.elamur.ai/free/en/venues/sumeval/)**Christian Federmann, Tom Kocmi, Ying Xin*2022 · 104 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Machine translation (1)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Christian Federmann**1 work here · 104 citations](https://md.research.elamur.ai/free/en/authors/christian-federmann/) · [🧑‍🔬**Tom Kocmi**1 work here · 104 citations](https://md.research.elamur.ai/free/en/authors/tom-kocmi/) · [🧑‍🔬**Ying Xin**1 work here · 104 citations](https://md.research.elamur.ai/free/en/authors/ying-xin/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🏢**Microsoft** Redmond · United States 1 work here](https://md.research.elamur.ai/free/en/companies/microsoft/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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