Transfer Learning

Learning from Impairment: Leveraging Insights from Clinical Linguistics in Language Modelling Research COLING 2025 Learning from Neighbors: Category Extrapolation for Long-Tail Learning CVPR 2025 Learning from others’ mistakes: Finetuning machine translation models with span-level error annotations ICML 2025 Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness JMLR 2025 Learning Language Structures Through Grounding AAAI 2025 Learning to Generalize without Bias for Open-Vocabulary Action Recognition ICCV 2025 Learning to Rewrite: Generalized LLM-Generated Text Detection ACL 2025 Learning to Rewrite Negation Queries in Product Search COLING 2025 Learning Transition Patterns by Large Language Models for Sequential Recommendation COLING 2025 Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning WACV 2025 Learnware Specification via Label-Aware Neural Embedding AAAI 2025 Less Static, More Private: Towards Transferable Privacy-Preserving Action Recognition by Generative Decoupled Learning ICCV 2025 Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples CVPR 2025 Leveraging Context for Multimodal Fallacy Classification in Political Debates ACL 2025 Leveraging Large Language Models in Detecting Anti-LGBTQIA+ User-generated Texts NAACL 2025 Leveraging Multilingual Models for Robust Grammatical Error Correction Across Low-Resource Languages COLING 2025 Leveraging Open-Source Large Language Models for Native Language Identification COLING 2025 LEVOS: Leveraging Vocabulary Overlap with Sanskrit to Generate Technical Lexicons in Indian Languages ACL 2025 LexiLogic@DravidianLangTech 2025: Detecting Misogynistic Memes and Abusive Tamil and Malayalam Text Targeting Women on Social Media NAACL 2025 LexiLogic@DravidianLangTech 2025: Multimodal Hate Speech Detection in Dravidian languages NAACL 2025 LimaCost: Data Valuation for Instruction Tuning of Large Language Models EMNLP 2025 Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition - And Ways to Overcome Them AAAI 2025 Limitations of Religious Data and the Importance of the Target Domain: Towards Machine Translation for Guinea-Bissau Creole NAACL 2025 Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Arguments ACL 2025 Limited-Resource Adapters Are Regularizers, Not Linguists ACL 2025