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Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation.

, , , , , , and . EMNLP, page 4031-4047. Association for Computational Linguistics, (2023)

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Efficient Contextual Representation Learning With Continuous Outputs., , , and . Trans. Assoc. Comput. Linguistics, (2019)Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning., , , , , , , and . CoRR, (2022)What do Bias Measures Measure?, , , , , , , , and . CoRR, (2021)SpeechNet: A Universal Modularized Model for Speech Processing Tasks., , , , , , , , , and . CoRR, (2021)SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning., , , , , , , and . CoRR, (2021)XAlgo: Explaining the Internal States of Algorithms via Question Answering., , , , and . CoRR, (2020)A Simple and Unified Tagging Model with Priming for Relational Structure Predictions., , , , , , and . CoRR, (2022)Pre-Training Graph Neural Networks for Generic Structural Feature Extraction., , , , and . CoRR, (2019)Counterfactual Language Model Adaptation for Suggesting Phrases., , and . IJCNLP(2), page 49-54. Asian Federation of Natural Language Processing, (2017)On Measures of Biases and Harms in NLP., , , , , , , , , and 1 other author(s). AACL/IJCNLP (Findings), page 246-267. Association for Computational Linguistics, (2022)