Transfer Learning

CUET_NetworkSociety@DravidianLangTech 2025: A Transformer-Based Approach for Detecting AI-Generated Product Reviews in Low-Resource Dravidian Languages NAACL 2025 CUET-NLP_Big_O@DravidianLangTech 2025: A BERT-based Approach to Detect Fake News from Malayalam Social Media Texts NAACL 2025 CUET-NLP_Big_O@DravidianLangTech 2025: A Multimodal Fusion-based Approach for Identifying Misogyny Memes NAACL 2025 CUET_Novice@DravidianLangTech 2025: A Bi-GRU Approach for Multiclass Political Sentiment Analysis of Tamil Twitter (X) Comments NAACL 2025 CUET_Novice@DravidianLangTech 2025: Abusive Comment Detection in Malayalam Text Targeting Women on Social Media Using Transformer-Based Models NAACL 2025 Customizing Domain Adapters for Domain Generalization ICCV 2025 D2ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition ICCV 2025 D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning IJCAI 2025 DACIP-RC: Domain Adaptive Continual Instruction Pre-Training via Reading Comprehension on Business Conversations EMNLP 2025 DaCoM: Strategies to Construct Domain-specific Low-resource Language Machine Translation Dataset COLING 2025 DadmaTools V2: an Adapter-Based Natural Language Processing Toolkit for the Persian Language COLING 2025 DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression EMNLP 2025 DA-Pred: Performance Prediction for Text Summarization under Domain-Shift and Instruct-Tuning EMNLP 2025 Data and Model Centric Approaches for Expansion of Large Language Models to New languages EMNLP 2025 Data Augmentation for Maltese NLP using Transliterated and Machine Translated Arabic Data EMNLP 2025 Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling ACL 2025 Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025 Data Doping or True Intelligence? Evaluating the Transferability of Injected Knowledge in LLMs EMNLP 2025 Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs EMNLP 2025 Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models ICML 2025 Data Quality Enhancement on the Basis of Diversity with Large Language Models for Text Classification: Uncovered, Difficult, and Noisy COLING 2025 Dataset Distillation via the Wasserstein Metric ICCV 2025 Dataset Distillation with Neural Characteristic Function: A Minmax Perspective CVPR 2025 Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-ray Classification ICCV 2025 Decentralized Low-Rank Fine-Tuning of Large Language Models ACL 2025