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From the 1 of 7 linked papers with an AI index.

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20242026
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cs.CL2026

Contrastive ESA: Human Evaluation of Multiple Translations at Once

Vilém Zouhar, Roman Grundkiewicz, Sara Rajaee +6

The paper proposes Contrastive Error Span Annotation (cESA), a human evaluation protocol that shows multiple translations of the same source together, lets annotators mark error sp…

cs.CL2026

Tiny Aya: Bridging Scale and Multilingual Depth

Alejandro R. Salamanca, Diana Abagyan, Daniel D'souza +23

Tiny Aya redefines what a small multilingual language model can achieve. Trained on 70 languages and refined through region-aware posttraining, it delivers state-of-the-art in tran…

cs.CL2026

Unlocking Reasoning Capability on Machine Translation in Large Language Models

Sara Rajaee, Sebastian Vincent, Alexandre Berard +3

Reasoning-oriented large language models (RLMs) achieve strong gains on tasks such as mathematics and coding by generating explicit intermediate reasoning. However, their impact on…

cs.CL2025

Lost at the Beginning of Reasoning

Baohao Liao, Xinyi Chen, Sara Rajaee +5

Recent advancements in large language models (LLMs) have significantly advanced complex reasoning capabilities, particularly through extended chain-of-thought (CoT) reasoning that…

cs.CL2025

Best-of-L: Cross-Lingual Reward Modeling for Mathematical Reasoning

Sara Rajaee, Rochelle Choenni, Ekaterina Shutova +1

While the reasoning abilities of large language models (LLMs) continue to advance, it remains unclear how such ability varies across languages in multilingual LLMs and whether diff…

cs.CL2024

On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations?

Rochelle Choenni, Sara Rajaee, Christof Monz +1

While multilingual language models (MLMs) have been trained on 100+ languages, they are typically only evaluated across a handful of them due to a lack of available test data in mo…