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Pretraining

2471 directly classified papers

Papers per year

Papers

VisText: A Benchmark for Semantically Rich Chart Captioning ACL 2023
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing NSDI 2023
ModelKeeper: Accelerating DNN Training via Automated Training Warmup NSDI 2023
An Investigation of Noise in Morphological Inflection ACL 2023
Multi-target Backdoor Attacks for Code Pre-trained Models ACL 2023
Mr-Fosdick at SemEval-2023 Task 5: Comparing Dataset Expansion Techniques for Non-Transformer and Transformer Models: Improving Model Performance through Data Augmentation ACL 2023
PromptARA: Improving Deep Representation in Hybrid Automatic Readability Assessment with Prompt and Orthogonal Projection EMNLP 2023
Masked Path Modeling for Vision-and-Language Navigation EMNLP 2023
DocSplit: Simple Contrastive Pretraining for Large Document Embeddings EMNLP 2023
Vector-Quantized Prompt Learning for Paraphrase Generation EMNLP 2023
Decomposed Prompt Tuning via Low-Rank Reparameterization EMNLP 2023
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers EMNLP 2023
Enhancing Emotion Recognition in Conversation via Multi-view Feature Alignment and Memorization EMNLP 2023
CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction EMNLP 2023
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction AAAI 2023
ConPrompt: Pre-training a Language Model with Machine-Generated Data for Implicit Hate Speech Detection EMNLP 2023
Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words EMNLP 2023
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank EMNLP 2023
MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities EMNLP 2023
RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training EMNLP 2023
TSTR: Target Similarity Tuning Meets the Real World EMNLP 2023
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules EMNLP 2023
Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models EMNLP 2023
Unleashing the Power of Language Models in Text-Attributed Graph EMNLP 2023
Automatic Pronunciation Assessment - A Review EMNLP 2023