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prompt-based learning

162 papers

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few-shot learning (3390) prompt engineering (1128) text classification (6776) large language model (12755) zero-shot learning (3637) language model (4573) pre-trained language model (1514) contrastive learning (3979) continual learning (1164) in-context learning (1369)

Papers

Vector Quantization Prompting for Continual Learning NIPS 2024
Bilateral Masking with prompt for Knowledge Graph Completion NAACL 2024
RoPDA: Robust Prompt-Based Data Augmentation for Low-Resource Named Entity Recognition AAAI 2024
Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning EMNLP 2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models EMNLP 2024
ImageCaptioner2: Image Captioner for Image Captioning Bias Amplification Assessment AAAI 2024
CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation NIPS 2024
HQP: A Human-Annotated Dataset for Detecting Online Propaganda ACL 2024
SIG: Speaker Identification in Literature via Prompt-Based Generation AAAI 2024
PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping AAAI 2024
Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension AAAI 2024
LinkPrompt: Natural and Universal Adversarial Attacks on Prompt-based Language Models NAACL 2024
SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations ACL 2024
Applying Linguistic Expertise to LLMs for Educational Material Development in Indigenous Languages NAACL 2024
PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition AAAI 2024
Label-Aware Automatic Verbalizer for Few-Shot Text Classification in Mid-To-Low Resource Languages ACL 2024
Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation COLING 2024
Discriminative Language Model as Semantic Consistency Scorer for Prompt-based Few-Shot Text Classification COLING 2024
Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales AAAI 2024
Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models COLING 2024
PDAMeta: Meta-Learning Framework with Progressive Data Augmentation for Few-Shot Text Classification COLING 2024
Bring Invariant to Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting COLING 2024
PromptExplainer: Explaining Language Models through Prompt-based Learning EACL 2024
Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding COLING 2024
Prototype-based Prompt-Instance Interaction with Causal Intervention for Few-shot Event Detection COLING 2024