Title |
|---|
 Basic Reading DistillationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 |
 Bridging the Language Gaps in Large Language Models with Inference-Time
Cross-Lingual InterventionAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 |
 Cross-lingual Transfer for Automatic Question Generation by Learning
Interrogative Structures in Target LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 |
 BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual
TransferNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 |
 Few-Shot Data Synthesis for Open Domain Multi-Hop Question AnsweringConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 |
 TrueTeacher: Learning Factual Consistency Evaluation with Large Language
ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Distilling Step-by-Step! Outperforming Larger Language Models with Less
Training Data and Smaller Model SizesAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister |
 q2d: Turning Questions into Dialogs to Teach Models How to SearchConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 PAXQA: Generating Cross-lingual Question Answering Examples at Training
ScaleConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Towards Agile Text Classifiers for EveryoneConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Little Red Riding Hood Goes Around the Globe:Crosslingual Story Planning
and Generation with Large Language ModelsInternational Conference on Language Resources and Evaluation (LREC), 2022 |
 Unnatural Instructions: Tuning Language Models with (Almost) No Human
LaborAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
 TyDi QA: A Benchmark for Information-Seeking Question Answering in
Typologically Diverse LanguagesTransactions of the Association for Computational Linguistics (TACL), 2020 |
