Natural Language Processing

Unknown Script: Impact of Script on Cross-Lingual Transfer NAACL 2024 Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization EMNLP 2024 Unlearning Climate Misinformation in Large Language Models ACL 2024 Unleashing Large Language Models’ Proficiency in Zero-shot Essay Scoring EMNLP 2024 Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration NAACL 2024 Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting EMNLP 2024 Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge NAACL 2024 Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding EMNLP 2024 Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization EMNLP 2024 Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction COLING 2024 Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering EMNLP 2024 Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation NAACL 2024 Unlocking Structure Measuring: Introducing PDD, an Automatic Metric for Positional Discourse Coherence NAACL 2024 Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought NeurIPS 2024 Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study ACL 2024 Unlocking the Power of Large Language Models for Entity Alignment ACL 2024 Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models NeurIPS 2024 UnMASKed: Quantifying Gender Biases in Masked Language Models through Linguistically Informed Job Market Prompts EACL 2024 Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models ICLR 2024 Unmasking Biases: Exploring Gender Bias in English-Catalan Machine Translation through Tokenization Analysis and Novel Dataset COLING 2024 Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback NeurIPS 2024 Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance ACL 2024 Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models ACL 2024 Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications EMNLP 2024 Unsupervised Authorship Attribution for Medieval Latin Using Transformer-Based Embeddings COLING 2024