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Generative Multi-hop Retrieval.

, , , and . EMNLP, page 1417-1436. Association for Computational Linguistics, (2022)

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Semiparametric Token-Sequence Co-Supervision., , , , , , and . CoRR, (2024)Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following., , , , , and . AAAI, page 19386-19394. AAAI Press, (2024)A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction., , , , and . NeurIPS, (2022)Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation., , , , , , , and . ACL (1), page 6713-6742. Association for Computational Linguistics, (2023)The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning., , , , , , and . EMNLP, page 12685-12708. Association for Computational Linguistics, (2023)Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt., , , , and . EMNLP (Findings), page 12288-12309. Association for Computational Linguistics, (2023)Exploring the Benefits of Training Expert Language Models over Instruction Tuning., , , , , , , and . CoRR, (2023)In-Context Instruction Learning., , , , , and . CoRR, (2023)Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning., , , , , and . ACL (Findings), page 3335-3350. Association for Computational Linguistics, (2023)Gradient Ascent Post-training Enhances Language Model Generalization., , , and . ACL (2), page 851-864. Association for Computational Linguistics, (2023)