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Transfer Learning

3884 directly classified papers

Papers per year

Papers

ConText-LE: Cross-Distribution Generalization for Longitudinal Experiential Data via Narrative-Based LLM Representations EMNLP 2025
Language Models Can Easily Learn to Reason from Demonstrations EMNLP 2025
On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions EMNLP 2025
FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging EMNLP 2025
Split Adaptation for Pre-trained Vision Transformers CVPR 2025
Fin-ExBERT: User Intent based Text Extraction in Financial Context using Graph-Augmented BERT and trainable Plugin EMNLP 2025
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation EMNLP 2025
When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMs EMNLP 2025
SEMMA: A Semantic Aware Knowledge Graph Foundation Model EMNLP 2025
FacLens: Transferable Probe for Foreseeing Non-Factuality in Fact-Seeking Question Answering of Large Language Models EMNLP 2025
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning EMNLP 2025
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving EMNLP 2025
TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation EMNLP 2025
How do Language Models Reshape Entity Alignment? A Survey of LM-Driven EA Methods: Advances, Benchmarks, and Future EMNLP 2025
Definition Generation for Word Meaning Modeling: Monolingual, Multilingual, and Cross-Lingual Perspectives EMNLP 2025
Learn and Unlearn: Addressing Misinformation in Multilingual LLMs EMNLP 2025
Layered Insights: Generalizable Analysis of Human Authorial Style by Leveraging All Transformer Layers EMNLP 2025
Towards Infinite-Long Prefix in Transformer EMNLP 2025
pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models EMNLP 2025
Group Preference Alignment: Customizing LLM Responses from In-Situ Conversations Only When Needed EMNLP 2025
AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs EMNLP 2025
NILE: Internal Consistency Alignment in Large Language Models EMNLP 2025
FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data EMNLP 2025
Exploring smaller batch sizes for a high-performing BabyLM model architecture EMNLP 2025
Cross-Domain Persuasion Detection with Argumentative Features EMNLP 2025