Papers
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning
I-chun Chern, Zhiruo Wang, Sanjan Das et al.
Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality
Tanay Dixit, Fei Wang, Muhao Chen
Improving Formality-Sensitive Machine Translation Using Data-Centric Approaches and Prompt Engineering
Seungjun Lee, Hyeonseok Moon, Chanjun Park et al.
Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting
Zahra Fatemi, Chen Xing, Wenhao Liu et al.
Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques
Daking Rai, Bailin Wang, Yilun Zhou et al.
Improving Gradient Trade-offs between Tasks in Multi-task Text Classification
Heyan Chai, Jinhao Cui, Ye Wang et al.
Improving Grammatical Error Correction with Multimodal Feature Integration
Tao Fang, Jinpeng Hu, Derek F. Wong et al.
Improving Knowledge Graph Completion with Generative Hard Negative Mining
Zile Qiao, Wei Ye, Dingyao Yu et al.
Improving Knowledge Production Efficiency With Question Answering on Conversation
Changlin Yang, Siye Liu, Sen Hu et al.
Improving Language Model Integration for Neural Machine Translation
Christian Herold, Yingbo Gao, Mohammad Zeineldeen et al.
Improving Long Context Document-Level Machine Translation
Christian Herold, Hermann Ney
Improving Long Dialogue Summarization with Semantic Graph Representation
Yilun Hua, Zhaoyuan Deng, Kathleen McKeown
Improving Low-resource Named Entity Recognition with Graph Propagated Data Augmentation
Jiong Cai, Shen Huang, Yong Jiang et al.
Improving Low Resource Speech Translation with Data Augmentation and Ensemble Strategies
Akshaya Vishnu Kudlu Shanbhogue, Ran Xue, Soumya Saha et al.
Improving Mathematics Tutoring With A Code Scratchpad
Shriyash Upadhyay, Etan Ginsberg, Chris Callison-Burch
Improving Named Entity Recognition via Bridge-based Domain Adaptation
Jingyun Xu, Changmeng Zheng, Yi Cai et al.
Improving Neural Machine Translation Formality Control with Domain Adaptation and Reranking-based Transductive Learning
Zhanglin Wu, Zongyao Li, Daimeng Wei et al.
Improving Pretraining Techniques for Code-Switched NLP
Richeek Das, Sahasra Ranjan, Shreya Pathak et al.
Improving Radiology Summarization with Radiograph and Anatomy Prompts
Jinpeng Hu, Zhihong Chen, Yang Liu et al.
Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank
Nischal Ashok Kumar, Nigel Fernandez, Zichao Wang et al.
Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning
Ran Zhou, Xin Li, Lidong Bing et al.
Improving Syntactic Probing Correctness and Robustness with Control Tasks
Weicheng Ma, Brian Wang, Hefan Zhang et al.
Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore
Janosch Haber, Bertie Vidgen, Matthew Chapman et al.
Improving the robustness of NLI models with minimax training
Michalis Korakakis, Andreas Vlachos