Multilingual NLP
4,318 papers
Papers per year
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30
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1,017
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Papers
Unveiling the Influence of Amplifying Language-Specific Neurons
IJCNLP 2025
UoB-NLP at SemEval-2025 Task 11: Leveraging Adapters for Multilingual and Cross-Lingual Emotion Detection
SemEval 2025
UrduFactCheck: An Agentic Fact-Checking Framework for Urdu with Evidence Boosting and Benchmarking
EMNLP 2025
URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base
COLING 2025
Using Contextually Aligned Online Reviews to Measure LLMs’ Performance Disparities Across Language Varieties
NAACL 2025
VEEF-Multi-LLM: Effective Vocabulary Expansion and Parameter Efficient Finetuning Towards Multilingual Large Language Models
COLING 2025
VeritasQA: A Truthfulness Benchmark Aimed at Multilingual Transferability
COLING 2025
Viability of Machine Translation for Healthcare in Low-Resourced Languages
EMNLP 2025
ViClaim: A Multilingual Multilabel Dataset for Automatic Claim Detection in Videos
EMNLP 2025
Visibility as Survival: Generalizing NLP for Native Alaskan Language Identification
ACL 2025
VMLU Benchmarks: A comprehensive benchmark toolkit for Vietnamese LLMs
ACL 2025
Voice Adaptation for Swiss German
Interspeech 2025
Vorm: Translations and a constrained hypothesis space support unsupervised morphological segmentation across languages
CoNLL 2025
VSNet: Focusing on the Linguistic Characteristics of Sign Language
CVPR 2025
Vuyko Mistral: Adapting LLMs for Low-Resource Dialectal Translation
ACL 2025
WangchanThaiInstruct: An instruction-following Dataset for Culture-Aware, Multitask, and Multi-domain Evaluation in Thai
EMNLP 2025
WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation
EMNLP 2025
WebNLG-IT: Construction of an aligned RDF-Italian corpus through Machine Translation techniques
ACL 2025
WETBench: A Benchmark for Detecting Task-Specific Machine-Generated Text on Wikipedia
ACL 2025
What Causes Knowledge Loss in Multilingual Language Models?
ACL 2025
What Do Indonesians Really Need from Language Technology? A Nationwide Survey
EMNLP 2025
What Language Do Non-English-Centric Large Language Models Think in?
ACL 2025
When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA
EMNLP 2025
When Multilingual Models Compete with Monolingual Domain-Specific Models in Clinical Question Answering
NAACL 2025
When natural language is not enough: The limits of in-context learning demonstrations in multilingual reasoning
NAACL 2025