pre-trained language model

Enhancing Hierarchical Text Classification through Knowledge Graph Integration ACL 2023 Enhancing Language Representation with Constructional Information for Natural Language Understanding ACL 2023 Enhancing Robot Program Synthesis Through Environmental Context NeurIPS 2023 Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing EMNLP 2023 Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided Decoding EACL 2023 Evaluating and Inducing Personality in Pre-trained Language Models NeurIPS 2023 Evaluating the Robustness of Discrete Prompts EACL 2023 Explanation Regeneration via Information Bottleneck ACL 2023 Exploiting Abstract Meaning Representation for Open-Domain Question Answering ACL 2023 Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis ACL 2023 Exploring Data Augmentation for Code Generation Tasks EACL 2023 Exploring Energy-based Language Models with Different Architectures and Training Methods for Speech Recognition Interspeech 2023 Exploring Robust Overfitting for Pre-trained Language Models ACL 2023 Exploring the Capacity of Pretrained Language Models for Reasoning about Actions and Change ACL 2023 Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models EMNLP 2023 Exploring the Impact of Model Scaling on Parameter-Efficient Tuning EMNLP 2023 Feature Normalization and Cartography-Based Demonstrations for Prompt-Based Fine-Tuning on Emotion-Related Tasks AAAI 2023 FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ACL 2023 FERMAT: An Alternative to Accuracy for Numerical Reasoning ACL 2023 Few Shot Rationale Generation using Self-Training with Dual Teachers ACL 2023 Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model EACL 2023 Fine-tuned vs. Prompt-tuned Supervised Representations: Which Better Account for Brain Language Representations? IJCAI 2023 Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features EACL 2023 Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models ACL 2023 FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering AAAI 2023