Natural Language Processing

Disentangled Learning with Synthetic Parallel Data for Text Style Transfer ACL 2024 Disentangling Pretrained Representation to Leverage Low-Resource Languages in Multilingual Machine Translation COLING 2024 Disentangling Questions from Query Generation for Task-Adaptive Retrieval EMNLP 2024 Disentangling the Roles of Target-side Transfer and Regularization in Multilingual Machine Translation EACL 2024 DisGeM: Distractor Generation for Multiple Choice Questions with Span Masking EMNLP 2024 Disinformation Capabilities of Large Language Models ACL 2024 Disordered-DABS: A Benchmark for Dynamic Aspect-Based Summarization in Disordered Texts EMNLP 2024 Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction ACL 2024 DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models NeurIPS 2024 Dissecting Biases in Relation Extraction: A Cross-Dataset Analysis on People’s Gender and Origin ACL 2024 Dissecting Fine-Tuning Unlearning in Large Language Models EMNLP 2024 Dissecting learning and forgetting in language model finetuning ICLR 2024 Dissecting Paraphrases: The Impact of Prompt Syntax and supplementary Information on Knowledge Retrieval from Pretrained Language Models NAACL 2024 Distance-aware Calibration for Pre-trained Language Models EMNLP 2024 Distantly Supervised Contrastive Learning for Low-Resource Scripting Language Summarization COLING 2024 Distantly-Supervised Joint Extraction with Noise-Robust Learning ACL 2024 Distillation Enhanced Generative Retrieval ACL 2024 Distill, Fuse, Pre-train: Towards Effective Event Causality Identification with Commonsense-Aware Pre-trained Model COLING 2024 Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning EMNLP 2024 Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation ACL 2024 Distilling Text Style Transfer With Self-Explanation From LLMs NAACL 2024 DistillMIKE: Editing Distillation of Massive In-Context Knowledge Editing in Large Language Models ACL 2024 DistiLLM: Towards Streamlined Distillation for Large Language Models ICML 2024 Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attribution EACL 2024 Distinguishing the Knowable from the Unknowable with Language Models ICML 2024