Results 271 to 280 of about 8,355,780 (302)
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Diagnosing and Mitigating Modality Interference in Multimodal Large Language Models
arXiv.orgMultimodal Large Language Models demonstrate strong performance on multimodal benchmarks, yet often exhibit poor robustness when exposed to spurious modality interference, such as irrelevant text in vision understanding, or irrelevant visual content in ...
Rui Cai +4 more
semanticscholar +1 more source
European Conference on Computer Vision
This study addresses the Domain-Class Incremental Learning problem, a realistic but challenging continual learning scenario where both the domain distribution and target classes vary across tasks.
Long-Xiang Tang +7 more
semanticscholar +1 more source
This study addresses the Domain-Class Incremental Learning problem, a realistic but challenging continual learning scenario where both the domain distribution and target classes vary across tasks.
Long-Xiang Tang +7 more
semanticscholar +1 more source
INTERFERENCE AND NATURAL LANGUAGE PROCESSING IN SECOND LANGUAGE ACQUISITION
Language Learning, 1983This paper reports the findings of a study of the acquisition of relative clauses in Chinese, Japanese, Persian, German, and Portuguese by first and second year students of these languages with English as their first language. Various structures were tested with the aim of separating the features of interlanguage which may be attributed to first ...
Fernando Tarallo, John Myhill
openaire +1 more source
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
arXiv.orgWe introduce Phi-4-Mini and Phi-4-Multimodal, compact yet highly capable language and multimodal models. Phi-4-Mini is a 3.8-billion-parameter language model trained on high-quality web and synthetic data, significantly outperforming recent open-source ...
Abdelrahman Abouelenin +73 more
semanticscholar +1 more source
Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors
International Conference on Machine LearningModel merging seeks to integrate task-specific expert models into a unified architecture while preserving multi-task generalization capabilities, yet parameter interference between constituent models frequently induces performance degradation.
Run-Xi Cheng +4 more
semanticscholar +1 more source
Interference in Second Language Learning
ITL - International Journal of Applied Linguistics, 1988Abstract This study deals with the acquisition of English and Tamil as a second language and to explain the errors found in the speech of L2 learners caused by the interference from the first language within the frame of reference of the phonological system of the target language (L2) as perceived and produced by the native speaker ...
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DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
Neural Information Processing SystemsRecent advances in vision-language-action (VLA) models have shown promise in integrating image generation with action prediction to improve generalization and reasoning in robot manipulation.
Wenyao Zhang +13 more
semanticscholar +1 more source
Interference between non-native languages during trilingual language production
Journal of Memory and Language, 2023Angela de Bruin +2 more
exaly
Similarity-based interference and relative clauses in second language processing
Second Language Research, 2023Hiroki Fujita, Ian Cunnings
exaly

