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20242026
most citedRLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs

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cs.CL2026

Building Multilingual Bridges: Data Mixing as the Pillar of Generalization for In-Language Reasoning

Mehrnaz Mofakhami, Ananya Sahu, Alejandro R. Salamanca +5

Reasoning language models have made substantial advances on a variety of complex tasks, yet their capabilities remain overwhelmingly English-centric: models primarily reason in Eng…

cs.CL2026

Dynamically Allocating Evaluation Effort for Model Ranking

Vilém Zouhar, Julia Kreutzer, Alon Lavie +4

While human evaluation is the gold standard in many NLP tasks, it suffers from prohibitive costs and poor scalability. When identifying top-performing models, typical evaluation pr…

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.CL2026

JudgeArena: A Unified Framework for Reproducible LLM-Judge Evaluation

Erlis Lushtaku, Bora Kargi, Ali Elganzory +4

LLM-as-a-judge evaluation has become a dominant paradigm for ranking language models, yet the ecosystem remains fragmented: most benchmarks ship their own code base, hardcode a spe…

cs.CL2026

The Culture Funnel: You Can't Align What isn't in the Data

Ananya Sahu, Mehrnaz Mofakhami, Daniel D'Souza +3

Current cultural alignment approaches focus on inference-time interventions, assuming models already contain sufficient cultural knowledge. We argue modern LLM pipelines suffer fro…

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…