A Systematic Evaluation of Cross-Lingual Consistency Enhancement Methods in Multilingual Language Models
This work presents a unified evaluation of representative CLC-enhancement methods for question answering, spanning inference-time interventions and post-training approaches across three model families and three closed-form benchmarks, highlighting the need to evaluate CLC enhancement for both cross-domain robustness an...