parameter-efficient fine-tuning

Advancing Vision-Language Models with Adapter Ensemble Strategies EMNLP 2024 A Few-Shot Multi-Accented Speech Classification for Indian Languages using Transformers and LLM’s Fine-Tuning Approaches EACL 2024 AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models ACL 2024 AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories EMNLP 2024 AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding EMNLP 2024 ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models NAACL 2024 AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality EMNLP 2024 AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment NeurIPS 2024 A Multimodal, Multi-Task Adapting Framework for Video Action Recognition AAAI 2024 An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models ACL 2024 An Improved Empirical Fisher Approximation for Natural Gradient Descent NeurIPS 2024 A Parameter-efficient Language Extension Framework for Multilingual ASR Interspeech 2024 ApiQ: Finetuning of 2-Bit Quantized Large Language Model EMNLP 2024 Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content? EMNLP 2024 Arrange, Inpaint, and Refine: Steerable Long-term Music Audio Generation and Editing via Content-based Controls IJCAI 2024 A Single Linear Layer Yields Task-Adapted Low-Rank Matrices COLING 2024 Assessing the Portability of Parameter Matrices Trained by Parameter-Efficient Finetuning Methods EACL 2024 A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune EMNLP 2024 A Survey on Efficient Federated Learning Methods for Foundation Model Training IJCAI 2024 AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning NAACL 2024 AutoRE: Document-Level Relation Extraction with Large Language Models ACL 2024 AutoVP: An Automated Visual Prompting Framework and Benchmark ICLR 2024 Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model ACL 2024 Bayesian Low-rank Adaptation for Large Language Models ICLR 2024 Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models NeurIPS 2024