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4 results for “cross-lingual”
DonorRank: Donor Language Selection for Low-Resource Cross-Lingual Speech Recognition
arXiv:2608.11441v1 Announce Type: new Abstract: Low-resource automatic speech recognition (ASR) commonly relies on cross-lingual transfer, where models are adapted from higher-resource donor languages. However, selecting donors remains challenging for spontaneous speech from under-resourced language communities, due to linguistic variation, evolving orthographic conventions, and uneven resource availability. We present DonorRank, a learning-to-rank framework for predicting effective donor langua
Aug 13, 2026
Rationale-Guided Knowledge Distillation for Cross-Lingual Stance Detection
A new research paper proposes a rationale-guided knowledge distillation framework to improve cross-lingual stance detection for low-resource languages by distilling Chain-of-Thought reasoning from large language models into smaller, deployable student models.
Jul 22, 2026
Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG
Researchers propose TR-RAG, a teacher-regularized reinforcement learning method to improve cross-lingual RAG performance when users query in non-English languages but retrieved evidence remains English — addressing language drift and unreliable evidence usage.
Jul 8, 2026
ALEE: Any-Language Evaluation of Embeddings via English-Centric Minimal Pairs
Researchers introduced ALEE, a new cross-lingual evaluation framework for text embeddings that uses English-centric minimal pairs grounded in Abstract Meaning Representations to assess semantic fidelity across 275+ languages — addressing longstanding limitations in static, narrow, and overfit embedding benchmarks.
Published Jul 2, 2026 · Analyzed Jul 5, 2026