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20212026
most citedShifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

7 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

The IOL-AI Challenge: An Open Challenge towards Advancing Linguistic Reasoning

Eduardo Sánchez, Rita Berrada, Dan-Mircea Mirea +8

Reasoning in LLMs is overwhelmingly studied in domains that provide a model with rules: mathematics and code. Linguistic puzzles invert this: the solver must first discover the sys…

cs.CL2025

Low-Resource, High-Impact: Building Corpora for Inclusive Language Technologies

Ekaterina Artemova, Laurie Burchell, Daryna Dementieva +3

This tutorial (https://tum-nlp.github.io/low-resource-tutorial) is designed for NLP practitioners, researchers, and developers working with multilingual and low-resource languages…

cs.CL2025

Preliminary Ranking of WMT25 General Machine Translation Systems

Tom Kocmi, Eleftherios Avramidis, Rachel Bawden +25

We present the preliminary rankings of machine translation (MT) systems submitted to the WMT25 General Machine Translation Shared Task, as determined by automatic evaluation metric…

cs.CL2024★ 2 cited

Preliminary WMT24 Ranking of General MT Systems and LLMs

Tom Kocmi, Eleftherios Avramidis, Rachel Bawden +18

This is the preliminary ranking of WMT24 General MT systems based on automatic metrics. The official ranking will be a human evaluation, which is superior to the automatic ranking…

cs.CL2024

Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation

Tom Kocmi, Vilém Zouhar, Eleftherios Avramidis +5

High-quality Machine Translation (MT) evaluation relies heavily on human judgments. Comprehensive error classification methods, such as Multidimensional Quality Metrics (MQM), are…

cs.LG2021★ 7 cited

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

Andrey Malinin, Neil Band, Ganshin +17

There has been significant research done on developing methods for improving robustness to distributional shift and uncertainty estimation. In contrast, only limited work has exami…