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Transfer Learning

3884 directly classified papers

Papers per year

Papers

Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners EMNLP 2024
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs EMNLP 2024
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs EMNLP 2024
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models EMNLP 2024
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design NIPS 2024
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs EMNLP 2024
Pretraining Language Models Using Translationese EMNLP 2024
Fast Forwarding Low-Rank Training EMNLP 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models NIPS 2024
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment EMNLP 2024
Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds COLT 2024
Unveiling the Role of Pretraining in Direct Speech Translation EMNLP 2024
Cross-Lingual Knowledge Editing in Large Language Models ACL 2024
LANDeRMT: Dectecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation ACL 2024
Fine-Tuning ASR models for Very Low-Resource Languages: A Study on Mvskoke ACL 2024
Academics Can Contribute to Domain-Specialized Language Models EMNLP 2024
Aligning Translation-Specific Understanding to General Understanding in Large Language Models EMNLP 2024
Multi-language Diversity Benefits Autoformalization NIPS 2024
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation EMNLP 2024
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models EMNLP 2024
Parameter Competition Balancing for Model Merging NIPS 2024
MTLS: Making Texts into Linguistic Symbols EMNLP 2024
From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning EMNLP 2024
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models EMNLP 2024
Retrieved Sequence Augmentation for Protein Representation Learning EMNLP 2024