 Boosting LLM Translation Skills without General Ability Loss via
Rationale DistillationAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 |
 Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual ProgrammingNeural Information Processing Systems (NeurIPS), 2024 |
 MUFFIN: Curating Multi-Faceted Instructions for Improving
Instruction-FollowingInternational Conference on Learning Representations (ICLR), 2023 |
 Style Over Substance: Evaluation Biases for Large Language ModelsInternational Conference on Computational Linguistics (COLING), 2023 |
 Class-Incremental Learning based on Label GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale
InstructionsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 |
 Large Language Model Instruction Following: A Survey of Progresses and
ChallengesComputational Linguistics (CL), 2023 |
 A Comprehensive Survey of Continual Learning: Theory, Method and
ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 |
 Self-Instruct: Aligning Language Models with Self-Generated InstructionsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
 Robustness of Learning from Task InstructionsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
 Continual Training of Language Models for Few-Shot LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Fine-tuned Language Models are Continual LearnersConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
