LLM-Friendly Knowledge Representation for Customer SupportInternational Conference on Computational Linguistics (COLING), 2025 |
Learning to Adapt to Low-Resource Paraphrase GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 |
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive
Prompt-Based Few-Shot Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
RewriteLM: An Instruction-Tuned Large Language Model for Text RewritingAAAI Conference on Artificial Intelligence (AAAI), 2023 |
Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable
Reward FunctionInternational Conference on Information and Knowledge Management (CIKM), 2022 |
Common human diseases prediction using machine learning based on survey
dataBulletin of Electrical Engineering and Informatics (BEEI), 2022 |
Quality Controlled Paraphrase GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
Entailment Relation Aware Paraphrase GenerationAAAI Conference on Artificial Intelligence (AAAI), 2022 |
Learning to Selectively Learn for Weakly-supervised Paraphrase
GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
Paraphrase Generation as Unsupervised Machine TranslationInternational Conference on Computational Linguistics (COLING), 2021 |
ConRPG: Paraphrase Generation using Contexts as RegularizerConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 |
Generalized Zero-shot Intent Detection via Commonsense KnowledgeAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021 |
Linguistically-Enriched and Context-Aware Zero-shot Slot FillingThe Web Conference (WWW), 2021 |
Unsupervised Paraphrasing with Pretrained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |