| Survey of hallucination in natural language generation Z Ji, N Lee, R Frieske, T Yu, D Su, Y Xu, E Ishii, Y Bang, A Madotto, ... ACM Computing Surveys, 2022 | 1634* | 2022 |
| A multitask, multilingual, multimodal evaluation of chatgpt on reasoning, hallucination, and interactivity Y Bang, S Cahyawijaya, N Lee, W Dai, D Su, B Wilie, H Lovenia, Z Ji, ... AACL 2023, 2023 | 810 | 2023 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... TMLR 2022, 2022 | 725 | 2022 |
| Towards Few-Shot Fact-Checking via Perplexity N Lee, Y Bang, A Madotto, M Khabsa, P Fung NAACL 2021, 2021 | 101* | 2021 |
| Factuality Enhanced Language Models for Open-Ended Text Generation N Lee, W Ping, P Xu, M Patwary, P Fung, M Shoeybi, B Catanzaro NeurIPS 2022, 2022 | 87 | 2022 |
| Language Models as Fact Checkers? N Lee, BZ Li, S Wang, W Yih, H Ma, M Khabsa Proceedings of the 3rd Workshop on Fact Extraction and Verification (FEVER), 2020 | 73 | 2020 |
| Exploring social bias in chatbots using stereotype knowledge N Lee, A Madotto, P Fung Proceedings of the 2019 Workshop on Widening NLP, 177-180, 2019 | 45 | 2019 |
| Improving large-scale fact-checking using decomposable attention models and lexical tagging N Lee, CS Wu, P Fung EMNLP 2018, 1133-1138, 2018 | 30 | 2018 |
| Team yeon-zi at semeval-2019 task 4: Hyperpartisan news detection by de-noising weakly-labeled data N Lee, Z Liu, P Fung Proceedings of the 13th International Workshop on Semantic Evaluation, 1052-1056, 2019 | 28 | 2019 |
| NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias N Lee, Y Bang, T Yu, A Madotto, P Fung NAACL 2022, 3131-3148, 2022 | 20* | 2022 |
| Assessing Political Prudence of Open-domain Chatbots Y Bang, N Lee, E Ishii, A Madotto, P Fung SIGDIAL 2021 - Safety for E2E Conversational AI, 2021 | 20 | 2021 |
| On Unifying Misinformation Detection N Lee, BZ Li, S Wang, P Fung, H Ma, W Yih, M Khabsa NAACL 2021, 2021 | 20 | 2021 |
| Towards mitigating LLM hallucination via self reflection Z Ji, T Yu, Y Xu, N Lee, E Ishii, P Fung Findings of the Association for Computational Linguistics: EMNLP 2023, 1827-1843, 2023 | 19* | 2023 |
| RHO (): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding Z Ji, Z Liu, N Lee, T Yu, B Wilie, M Zeng, P Fung ACL2023 Findings, 2022 | 19 | 2022 |
| AiSocrates: Towards Answering Ethical Quandary Questions Y Bang, N Lee, T Yu, L Khalatbari, Y Xu, D Su, EJ Barezi, A Madotto, ... AI for Social Good Workshop @AAAI2023, 2022 | 7* | 2022 |
| Understanding the Shades of Sexism in Popular TV Series. N Lee, Y Bang, J Shin, P Fung WNLP@ ACL, 122-125, 2019 | 7* | 2019 |
| Evaluating Parameter Efficient Learning for Generation P Xu, M Patwary, S Prabhumoye, V Adams, RJ Prenger, W Ping, N Lee, ... EMNLP 2022, 2022 | 2 | 2022 |
| Dynamically addressing unseen rumor via continual learning N Lee, A Madotto, Y Bang, P Fung arXiv preprint arXiv:2104.08775, 2021 | 2 | 2021 |
| Mitigating Framing Bias with Polarity Minimization Loss Y Bang, N Lee, P Fung EMNLP2023 Findings, 2023 | 1 | 2023 |
| Measuring Political Bias in Large Language Models: What Is Said and How It Is Said Y Bang, D Chen, N Lee, P Fung arXiv preprint arXiv:2403.18932, 2024 | | 2024 |
Pascale FungDept. of Electronic & Computer Engineering, the Hong Kong University of Science & TechnologyVerified email at ece.ust.hk
