Natural Language Processing

Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension AAAI 2024 Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation NAACL 2024 Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting AAAI 2024 Mitigating Metric Bias in Minimum Bayes Risk Decoding EMNLP 2024 Mitigating Misleading Chain-of-Thought Reasoning with Selective Filtering COLING 2024 Mitigating Object Hallucination via Concentric Causal Attention NeurIPS 2024 Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training ACL 2024 Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NeurIPS 2024 Mitigating Shortcuts in Language Models with Soft Label Encoding COLING 2024 Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization AAAI 2024 Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics EMNLP 2024 Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing EMNLP 2024 Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer EMNLP 2024 Mitigating Translationese in Low-resource Languages: The Storyboard Approach COLING 2024 MIT-KEC-NLP@DravidianLangTech-EACL 2024: Offensive Content Detection in Kannada and Kannada-English Mixed Text Using Deep Learning Techniques EACL 2024 MiTTenS: A Dataset for Evaluating Gender Mistranslation EMNLP 2024 MIVC: Multiple Instance Visual Component for Visual-Language Models WACV 2024 Mixed-Session Conversation with Egocentric Memory EMNLP 2024 MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures NeurIPS 2024 Mixing and Matching: Combining Independently Trained Translation Model Components EACL 2024 MixRED: A Mix-lingual Relation Extraction Dataset COLING 2024 Mixture of Demonstrations for In-Context Learning NeurIPS 2024 Mixture of Diverse Size Experts EMNLP 2024 Mixture of In-Context Experts Enhance LLMs' Long Context Awareness NeurIPS 2024 Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding COLING 2024