conftrace_

prompt tuning

445 papers

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Also known as

PT

Co-occurring keywords · papers mentioning both

few-shot learning (89) vision-language model (81) transfer learning (59) pre-trained language model (54) parameter-efficient fine-tuning (45) large language model (45) soft prompt (40) zero-shot learning (36) domain adaptation (35) multimodal learning (29)

Papers

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction AAAI 2024 FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models ICML 2024 Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning AAAI 2024 Federated Prompt Learning for Weather Foundation Models on Devices IJCAI 2024 FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting AAAI 2024 Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning EACL 2024 FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction ICML 2024 Flexible Biometrics Recognition: Bridging the Multimodality Gap through Attention Alignment and Prompt Tuning CVPR 2024 FPT: Feature Prompt Tuning for Few-shot Readability Assessment NAACL 2024 From General LLM to Translation: How We Dramatically Improve Translation Quality Using Human Evaluation Data for LLM Finetuning EMNLP 2024 GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network ACL 2024 Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL ACL 2024 HaRMoNEE at SemEval-2024 Task 6: Tuning-based Approaches to Hallucination Recognition SemEval 2024 Harmonizing Generalization and Personalization in Federated Prompt Learning ICML 2024 IAPT: Instance-Aware Prompt Tuning for Large Language Models ACL 2024 IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning EMNLP 2024 Is Prompt Transfer Always Effective? An Empirical Study of Prompt Transfer for Question Answering NAACL 2024 Keyword-Guided Adaptation of Automatic Speech Recognition Interspeech 2024 Knowledge-enhanced Prompt Tuning for Dialogue-based Relation Extraction with Trigger and Label Semantic COLING 2024 KnowVrDU: A Unified Knowledge-aware Prompt-Tuning Framework for Visually-rich Document Understanding COLING 2024 Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks AAAI 2024 LAMM: Label Alignment for Multi-Modal Prompt Learning AAAI 2024 Learning to Learn Better Visual Prompts AAAI 2024 Lexical Substitution as Causal Language Modeling NAACL 2024 LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-Tailed Multi-Label Visual Recognition ACL 2024