Fine-Tuning

MetaKP: On-Demand Keyphrase Generation EMNLP 2024 Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment EMNLP 2024 Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging EMNLP 2024 Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models EMNLP 2024 Model Editing by Standard Fine-Tuning ACL 2024 More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation ACL 2024 Multi-Objective Linguistic Control of Large Language Models ACL 2024 Nebula: A discourse aware Minecraft Builder EMNLP 2024 NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data EMNLP 2024 Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts CVPR 2024 One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models CVPR 2024 On the Effects of Data Scale on UI Control Agents NeurIPS 2024 On Training Data Influence of GPT Models EMNLP 2024 ORPO: Monolithic Preference Optimization without Reference Model EMNLP 2024 Orthogonal Adaptation for Modular Customization of Diffusion Models CVPR 2024 Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization ICLR 2024 PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning ACL 2024 Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model CVPR 2024 PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment EMNLP 2024 Patentformer: A Novel Method to Automate the Generation of Patent Applications EMNLP 2024 Phased Instruction Fine-Tuning for Large Language Models ACL 2024 PI3D: Efficient Text-to-3D Generation with Pseudo-Image Diffusion CVPR 2024 Pitfalls and Outlooks in Using COMET EMNLP 2024 PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis CVPR 2024 p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models AAAI 2024