| Survey of hallucination in natural language generation Z Ji, N Lee, R Frieske, T Yu, D Su, Y Xu, E Ishii, YJ Bang, A Madotto, ... ACM Computing Surveys 55 (12), 1-38, 2023 | 2456 | 2023 |
| 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 | 1287* | 2023 |
| Towards Few-Shot Fact-Checking via Perplexity N Lee, Y Bang, A Madotto, M Khabsa, P Fung NAACL 2021, 2021 | 118* | 2021 |
| Model Generalization on COVID-19 Fake News Detection Y Bang, E Ishii, S Cahyawijaya, Z Ji, P Fung CONSTRAINT Workshop, Collocated with AAAI 2021, 2021 | 62 | 2021 |
| Xpersona: Evaluating multilingual personalized chatbot Z Lin, Z Liu, GI Winata, S Cahyawijaya, A Madotto, ... Workshop on NLP4ConvAI @ ACL 2021, 2020 | 62* | 2020 |
| The Adapter-Bot: All-In-One Controllable Conversational Model A Madotto, Z Lin, Y Bang, P Fung AAAI-2021 Demo Track, 2020 | 46* | 2020 |
| NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias N Lee, Y Bang, T Yu, A Madotto, P Fung NAACL 2022, 2022 | 24* | 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 | 22 | 2021 |
| Weakly-supervised multi-task learning for multimodal affect recognition W Dai, S Cahyawijaya, Y Bang, P Fung arXiv preprint arXiv:2104.11560, 2021 | 14 | 2021 |
| Towards Answering Open-ended Ethical Quandary Questions Y Bang, N Lee, T Yu, L Khalatbari, Y Xu, S Cahyawijaya, D Su, B Wilie, ... AI for Social Good Workshop @AAAI 2023, 2023 | 9* | 2023 |
| Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness C Hazirbas, Y Bang, T Yu, P Assar, B Porgali, V Albiero, S Hermanek, ... arXiv preprint arXiv:2211.05809, 2022 | 9* | 2022 |
| Understanding the shades of sexism in popular TV series N Lee, Y Bang, J Shin, P Fung Proceedings of the 2019 Workshop on Widening NLP, 122-125, 2019 | 7* | 2019 |
| Survey of social bias in vision-language models N Lee, Y Bang, H Lovenia, S Cahyawijaya, W Dai, P Fung arXiv preprint arXiv:2309.14381, 2023 | 6 | 2023 |
| Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values Y Bang, T Yu, A Madotto, Z Lin, M Diab, P Fung TrustNLP @ACL2023, 2022 | 6 | 2022 |
| Measuring Political Bias in Large Language Models: What Is Said and How It Is Said Y Bang, D Chen, N Lee, P Fung ACL 2024, 2024 | 5* | 2024 |
| High-Dimension Human Value Representation in Large Language Models S Cahyawijaya, D Chen, Y Bang, L Khalatbari, B Wilie, Z Ji, E Ishii, ... arXiv preprint arXiv:2404.07900, 2024 | 2* | 2024 |
| 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 EMNLP 2023, 2023 | 1 | 2023 |
| LLM Internal States Reveal Hallucination Risk Faced With a Query Z Ji, D Chen, E Ishii, S Cahyawijaya, Y Bang, B Wilie, P Fung arXiv preprint arXiv:2407.03282, 2024 | | 2024 |
| The Pyramid of Captions D Chen, S Cahyawijaya, E Ishii, HS Chan, Y Bang, P Fung arXiv preprint arXiv:2405.00485, 2024 | | 2024 |
Pascale FungDept. of Electronic & Computer Engineering, the Hong Kong University of Science & TechnologyVerified email at ece.ust.hk
