Cross-Lingual Transfer

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30 papers in the last four weeks, up 25% on the four weeks before. 0.2% of all new papers.

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DonorRank: Donor Language Selection for Low-Resource Cross-Lingual Speech Recognition
Aug 11, 2026Akriti Dhasmana, Aarohi Srivastava, David ChiangLearning to Rank Low-Resource Speech Recognition
Computer Science and Engineering University of Notre Dame Notre Dame, IN, USA
The Illusion of Cross-Lingual Safety in Low-Resource Languages
Aug 11, 2026Abigail Oppong, P Sam Sahil, Tadesse Destaw Belay +12LLM Safety Alignment Low-Resource Language Processing
Makerere University Center for Artificial Intelligence · University of Hamburg · Instituto Politécnico Nacional +9
Actions Speak Louder than Words: Measuring Cross-Lingual Policy Retention in Tool-Using Agents
Aug 11, 2026Sourabrata Mukherjee, Kalika Bali, Sunayana SitaramMultilingual Language Model Evaluation Tool-Augmented Language Model Agents
Microsoft Research India
Universal or Language-Family-Specific Script Unification for Cross-Lingual Transfer? A Case Study on Turkic Languages
Aug 10, 2026Zijie ZhangCross-Lingual Transfer
The Chinese University of Hong Kong, Shenzhen
Who Bridges Safety? Identifying and Targeting Cross-Lingual Shared Safety Pathways
Aug 10, 2026Shuyi Miao, Wangjie Qiu, Pengyang Shao +4LLM Safety Alignment LLM Safety
Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing · School of Artificial Intelligence, Beihang University, China · Zhongguancun Laboratory, Beijing, China +2
OmnilingualGAIA2: Evaluating the Multilingual Gap in Frontier AI Agents
Aug 9, 2026Andrea Caciolai, Pere-Lluís Huguet Cabot, Chierh Cheng +11AI Agent Evaluation AI Agent Benchmarks
Meta Superintelligence Labs
Wisdom in Unity: The Role of Multilingual Training in Figurative Language Identification in Proverbs
Aug 8, 2026Rama Alomair, Remas Alsubaie, Walaa Saifalislam +5Figurative Language Understanding Multilingual Language Models
College of Computer and Information Sciences, King Saud University
Embedding Initialization for Unseen Low-resource Languages in Multilingual NMT: A Case Study on Limbum-English Translation
Aug 7, 2026Samiratu Ntohsi, Neza David Tuyishimire, Anesu Kafesu +3Low-Resource MT Low-Resource Language Processing
Ruzivo Research Lab, African Leadership University · African Leadership University
Measuring the Cross-Lingual Comprehension Gap: How the language of the evidence shapes what language models understand
Aug 6, 2026Rafael da Silva, Jeff EicherMultilingual Language Model Evaluation Multilingual QA
Eastern University
RP-OPSD: Reasoning-Pivot-Guided On-Policy Self-Distillation for Multilingual Reasoning Transfer
Aug 6, 2026Xinye Wang, Junxiao Liu, Shujian HuangNumerical Reasoning in Language Models Multilingual Language Models
National Key Laboratory for Novel Software Technology, Nanjing University
Strengthening Target-Language Features: SAE-Based Steering for Multilingual Inference
Aug 5, 2026Hongsheng Wang, Philipp KoehnMultilingual Language Models Language Model Steering
Johns Hopkins University, Baltimore / USA
NOLLI: A Difficulty-Calibrated Puzzle Benchmark for Diagnosing the English-Korean Performance Gap
Aug 5, 2026Dasol Choi, Joonyong Park, Daegon Yu +3Multilingual Language Model Evaluation Benchmark Validity
AIM Intelligence · HAERAE LAB · KT Corp. +3
Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment $\unicode{x2013}$ Is English Enough?
Aug 4, 2026Adnan Al Ali, Kathy Hämmerl, Jindřich Libovický +1Multilingual Language Model Evaluation Cross-Lingual Representation Alignment
Charles University, Faculty of Mathematics and Physics, Czech Republic · Technical University of Munich, Germany · Munich Center for Machine Learning
Disentangled Contrastive Learning for Zero-Shot Multilingual Dense Retrieval
Aug 3, 2026Chao Huang, Yufeng Chen, Changhao Guan +3Contrastive Learning Disentangled Representation Learning
Key Laboratory of Big Data & Artificial Intelligence in Transportation (Beijing Jiaotong University), Ministry of Education · School of Computer Science and Technology, Beijing Jiaotong University
Semantic Alignment of AI Models: Concept Collapse, Checkpoint Dynamics, and Cross-Lingual Transfer
Aug 3, 2026Tyler Ashoff, Jordan RoduMultilingual Language Model Evaluation Representation Geometry in Language Models
Department of Statistics, University of Virginia. · Department of Statistics, University of Virginia
Native Multilingual Chain-of-Thought Reasoning in Low-Resource Southeast Asian Languages
Aug 1, 2026Sean Gip Lim, William Chandra Tjhi, Hai Leong ChieuNumerical Reasoning in Language Models Multilingual Language Models
1Nanyang Technological University · 2AI Singapore · 3DSO National Laboratories
The Learning Objective Governs Perceptual Narrowing: A Cross-Lingual, Layer-Wise, Ten-Seed Study of Self-Supervised Speech Encoders
Aug 1, 2026Sejin YooAudio Understanding Self-Supervised Speech Representation Learning
Independent Researcher
Cross-Lingual Transfer for Machine Translation in Turkic Languages
Jul 31, 2026Omer Burak Cinar, Mehmet Mert Dalkilic, Cagri ToramanMultilingual Language Models Low-Resource MT
Middle East Technical University · Computer Engineering Department
DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search
Jul 29, 2026Raphaël Sourty, Antoine Chaffin, Paulo Roberto Moura Junior +1Late Interaction Retrieval Multilingual IR
1LightOn
The Cross-Domain Generalization Cost of Offensive Language Detection
Jul 26, 2026Ruixing Ren, Junhui Zhao, Xiaoke Sun +1Multi-Source Domain Adaptation Hate Speech Detection
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China · National Computer Network Emergency Response Technical Team/Coordination Center of China (CNCERT/CC), Beijing 100029, China
Biomedical Machine Translation for Low-Resource Arabic-Script Languages via Cross-Lingual Transfer and LoRA Adapter Merging
Jul 24, 2026Abdullah Alabdullah, Arash Eslamighayour, Sarp Harbalioglu +1Low-Resource MT Language Model Merging
School of Informatics, University of Edinburgh, The United Kingdom · Leids Universitair Medisch Centrum & LIACS, Universiteit Leiden, NL
Language-Specific versus Cross-Lingual Knowledge Graphs for Implicit Aspect Identification in Arabic: A Comparative Study of Reasoning and Adaptation Strategies
Jul 22, 2026Lujain A. AlawwadArabic NLP Aspect-Based Sentiment Analysis
Department of Computing and Informatics Saudi Electronic University Riyadh, Saudi Arabia
Inference-Time Steering for Cross-Lingual Factual Consistency in LLMs
Jul 21, 2026Alexander ManevMultilingual Language Model Evaluation LLM Alignment
Technical University of Munich
Rationale-Guided Knowledge Distillation for Cross-Lingual Stance Detection
Jul 21, 2026Qiuli Zhou, Jingyuan Yao, Shengeng Tang +3Stance Detection Language Model Distillation
School of Foreign Studies, Hefei University of Technology, China · School of Computer Science and Information Engineering, Hefei University of Technology, China · School of Computer Science and Information Engineering, Hefei University of Technology +1
Similarity All The Way Up: Multilingual Generalization in LLMs Relies on Language-Level Similarity Structures
Jul 18, 2026Supantho Rakshit, Adele Goldberg, Henry ConklinMultilingual Language Model Evaluation Cross-Lingual Reasoning in Language Models
Department of Electrical and Computer Engineering Princeton University · Department of Psychology Princeton University · Laboratory for Artificial Intelligence Princeton University
DeltaMerge-LowRes: Composing Language and Task Deltas for Low-Resource Adaptation
Jul 15, 2026Son Ha Xuan, Xuan-Bach Le, Phat T. Tran-TruongMultilingual Language Models Task Vector Merging
RMIT University, Ho Chi Minh City, Vietnam · Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), VNU-HCM, Ho Chi Minh City, Vietnam
Meta-Learning Preferences for Multilingual LLM Alignment
Jul 14, 2026Jiaying Lin, Seongho Son, Nam Phuong Tran +3RL for Language Models LLM Alignment
Department of Computer Science, University of Warwick, Coventry, United Kingdom · Department of Computer Science, University College London, London, United Kingdom · Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland
Translation as a Computationally Efficient Bridge: Feasibility of English BERT for Low-Resource Languages
Jul 14, 2026Hielke Muizelaar, Giulia Rivetti, Marco Spruit +1Fine-Tuning Low-Resource Language Processing
Department of Public Health and Primary Care, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333ZA, The Netherlands · LIACS, Leiden University, P.O. Box 9512, Leiden, 2300RA, The Netherlands
A Durability and Cross-Language Transfer Benchmark for a Validated Teaching-Feedback Classification Protocol
Jul 13, 2026Esteban U. Vega BarajasMultilingual Language Model Evaluation Sentiment Analysis
Universidad de Guadalajara
Q-BridgeNet: A Quantization Network for Cross-Lingual Sign Language Translation
Jul 13, 2026Liqian Feng, Lintao Wang, Xiaochen Liu +5Sign Language Translation Cross-Lingual Transfer
The University of Sydney, Darlington NSW, Australia · Beijing University of Technology, Beijing, China · Edith Cowan University, Joondalup WA, Australia

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DonorRank: Donor Language Selection for Low-Resource Cross-Lingual Speech Recognition

Akriti Dhasmana, Aarohi Srivastava, David Chiang

Computer Science and Engineering University of Notre Dame Notre Dame, IN, USA

Learning to Rank Low-Resource Speech Recognition Cross-Lingual Transfer

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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 languages for zero-shot ASR. We evaluate DonorRank on two multilingual speech corpora of Indic and African language families. It accurately predicts donor language rankings and improves donor selection over common heuristics based on genetic similarity or high-resource languages. Beyond improving transfer, we show how DonorRank is a general framework for analyzing donor language selection itself. Our analyses show that the composition of the donor set determines which linguistic cues are useful in predicting successful transfer. We also identify transfer patterns that provide practical guidance for multilingual ASR in low-resource settings.