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Fine-Tuning

1,117 papers

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Papers

Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning NeurIPS 2024 Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning EMNLP 2024 SumSurvey: An Abstractive Dataset of Scientific Survey Papers for Long Document Summarization ACL 2024 Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning ACL 2024 SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors NeurIPS 2024 Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale NeurIPS 2024 Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models NeurIPS 2024 TeleChat: An Open-source Billingual Large Language Model ACL 2024 Test-Time Training on Nearest Neighbors for Large Language Models ICLR 2024 TextCraftor: Your Text Encoder Can be Image Quality Controller CVPR 2024 The Art of Saying No: Contextual Noncompliance in Language Models NeurIPS 2024 The Language of Trauma: Modeling Traumatic Event Descriptions Across Domains with Explainable AI EMNLP 2024 The Overlooked Repetitive Lengthening Form in Sentiment Analysis EMNLP 2024 Time- Memory- and Parameter-Efficient Visual Adaptation CVPR 2024 Time Sensitive Knowledge Editing through Efficient Finetuning ACL 2024 To Err Is Human, but Llamas Can Learn It Too EMNLP 2024 TOREE: Evaluating Topic Relevance of Student Essays for Chinese Primary and Middle School Education ACL 2024 Towards a new Benchmark for Emotion Detection in NLP: A Unifying Framework of Recent Corpora EMNLP 2024 Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability AAAI 2024 Training and Fine-Tuning NMT Models for Low-Resource Languages Using Apertium-Based Synthetic Corpora EMNLP 2024 TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks NeurIPS 2024 Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages ACL 2024 Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024 Uncertainty-aware Fine-tuning of Segmentation Foundation Models NeurIPS 2024 Updating CLIP to Prefer Descriptions Over Captions EMNLP 2024