Fine-Tuning

Learning to Refine with Fine-Grained Natural Language Feedback EMNLP 2024 Leveraging Web-Crawled Data for High-Quality Fine-Tuning EMNLP 2024 LION: Implicit Vision Prompt Tuning AAAI 2024 LIONs: An Empirically Optimized Approach to Align Language Models EMNLP 2024 LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning NeurIPS 2024 LLaMA-Based Models for Aspect-Based Sentiment Analysis ACL 2024 LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction CVPR 2024 LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models ACL 2024 Llamipa: An Incremental Discourse Parser EMNLP 2024 LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement ACL 2024 LongForm: Effective Instruction Tuning with Reverse Instructions EMNLP 2024 LoRA Meets Dropout under a Unified Framework ACL 2024 LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning ACL 2024 Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach CVPR 2024 LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content CVPR 2024 MACE: Mass Concept Erasure in Diffusion Models CVPR 2024 MagiCapture: High-Resolution Multi-Concept Portrait Customization AAAI 2024 Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training EMNLP 2024 Making Harmful Behaviors Unlearnable for Large Language Models ACL 2024 MARIO: MAth Reasoning with code Interpreter Output - A Reproducible Pipeline ACL 2024 Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models EMNLP 2024 MBIAS: Mitigating Bias in Large Language Models While Retaining Context ACL 2024 MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation EMNLP 2024 Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks UAI 2024 Memory-Efficient Fine-Tuning of Transformers via Token Selection EMNLP 2024