Fine-Tuning

Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models NeurIPS 2024 TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks IJCAI 2024 Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization NeurIPS 2024 Team Curie at HSD-2Lang 2024: Hate Speech Detection in Turkish and Arabic Tweets using BERT-based models EACL 2024 Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction EMNLP 2024 The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning ACL 2024 The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models NeurIPS 2024 The Unreasonable Effectiveness of Easy Training Data for Hard Tasks ACL 2024 Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs EMNLP 2024 Towards Tool Use Alignment of Large Language Models EMNLP 2024 Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024 UltraMedical: Building Specialized Generalists in Biomedicine NeurIPS 2024 Uncertainty-aware Fine-tuning of Segmentation Foundation Models NeurIPS 2024 Uncertainty Aware Learning for Language Model Alignment ACL 2024 VIGC: Visual Instruction Generation and Correction AAAI 2024 V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark NeurIPS 2024 What Makes and Breaks Safety Fine-tuning? A Mechanistic Study NeurIPS 2024 Why academia should cut back general enthusiasm about CAs EACL 2024 XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts ACL 2024 Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm CVPR 2023 Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs EMNLP 2023 A Kernel-Based View of Language Model Fine-Tuning ICML 2023 Analyzing Pre-trained and Fine-tuned Language Models EMNLP 2023 An Empirical Study of Instruction-tuning Large Language Models in Chinese EMNLP 2023 Annotation Sensitivity: Training Data Collection Methods Affect Model Performance EMNLP 2023