CroCo: Cross-Lingual Contrastive Preference Tuning on Self-Generations

arXiv:2605.26293 · cs.CL, cs.AI · Submitted 2026-05-25 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-05-25

Updated: 2026-09-02

Code: https://github.com/jjzha/CroCo

Project page: https://mlco2.github.io

Terminology

• Accuracy — 20× in this paper · explained in 1 episode
• Alignment — 11× in this paper · explained in 1 episode
• Fine-Tuning — 9× in this paper · explained in 5 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Catastrophic Forgetting — 8× in this paper · explained in 5 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Low-Resource Languages — 7× in this paper · explained in 4 episodes
• Distillation — 6× in this paper · explained in 2 episodes
• Self-distillation — 6× in this paper · explained in 6 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Core — 3× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Continual Learning — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Agentic Coding — 1× in this paper · explained in 1 episode
• Algorithmic Bias — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• European Language Resources Association — 1× in this paper
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 3 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
• MultiLoKo: a multilingual local knowledge benchmark for LLMs spanning 31 languages
• MultiNRC: A Challenging and Native Multilingual Reasoning Evaluation Benchmark for LLMs
• TranslateGemma Technical Report
• Direct Language Model Alignment from Online AI Feedback
• SFT-then-RL Outperforms Mixed-Policy Methods for LLM Reasoning
• Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
• Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy
• Crosslingual On-Policy Self-Distillation for Multilingual Reasoning
• RewardBench 2: Advancing Reward Model Evaluation
• EuroLLM-22B: Technical Report
• Olmo 3
• Self-Distillation Enables Continual Learning
• Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

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