Natural Language Processing

Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers EMNLP 2024 AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization EMNLP 2024 Adapting Fake News Detection to the Era of Large Language Models NAACL 2024 Adapting Large Language Models via Reading Comprehension ICLR 2024 Adapting LLM Predictions in In-Context Learning with Data Priors EMNLP 2024 Adapting LLMs for Structured Natural Language API Integration EMNLP 2024 Adapting LLM to Multi-lingual ESG Impact and Length Prediction Using In-context Learning and Fine-Tuning with Rationale COLING 2024 Adapting Measures of Literality for Use with Historical Language Data EMNLP 2024 Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters ACL 2024 Adapting Open-Source Generative Large Language Models for Low-Resource Languages: A Case Study for Turkish EMNLP 2024 Adapting transformer models to morphological tagging of two highly inflectional languages: a case study on Ancient Greek and Latin ACL 2024 Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts EMNLP 2024 Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation EMNLP 2024 Adaptive Cross-lingual Text Classification through In-Context One-Shot Demonstrations NAACL 2024 Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization EMNLP 2024 Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks EMNLP 2024 Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-trained Language Models AAAI 2024 Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers EMNLP 2024 Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations EMNLP 2024 Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity NAACL 2024 Adaptive Reinforcement Tuning Language Models as Hard Data Generators for Sentence Representation COLING 2024 Adaptive Softmax Trees for Many-Class Classification UAI 2024 Adaptive Text Watermark for Large Language Models ICML 2024 Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities EMNLP 2024 AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning EMNLP 2024