Emojive! Collecting Emotion Data from Speech and Facial Expression Using Mobile Game App. - Ji Ho Park; Nayeon Lee; Dario Bertero; Anik Dey; Pascale Fung (INTERSPEECH, 2017)

Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging. - Nayeon Lee; Chien-Sheng Wu; Pascale Fung (EMNLP, 2018)

Understanding the Shades of Sexism in Popular TV Series. - Nayeon Lee; Yejin Bang; Jamin Shin; Pascale Fung (WNLP@ACL, 2019)

Exploring Social Bias in Chatbots using Stereotype Knowledge. - Nayeon Lee; Andrea Madotto; Pascale Fung (WNLP@ACL, 2019)

Team yeon-zi at SemEval-2019 Task 4: Hyperpartisan News Detection by De-noising Weakly-labeled Data. - Nayeon Lee; Zihan Liu 001; Pascale Fung (SemEval@NAACL-HLT, 2019)

Effect of pre-training to build a regression model using shallow neural network for semiconductor plasma etch process equipment. - Ohyung Kwon; Nayeon Lee; Kangil Kim (IEEE BigData, 2020)

Language Models as Fact Checkers? - Nayeon Lee; Belinda Z. Li; Sinong Wang; Wen-tau Yih; Hao Ma 001; Madian Khabsa (CoRR, 2020)

Misinformation Has High Perplexity. - Nayeon Lee; Yejin Bang; Andrea Madotto; Pascale Fung (CoRR, 2020)

Towards Few-shot Fact-Checking via Perplexity. - Nayeon Lee; Yejin Bang; Andrea Madotto; Pascale Fung (NAACL-HLT, 2021)

On Unifying Misinformation Detection. - Nayeon Lee; Belinda Z. Li; Sinong Wang; Pascale Fung; Hao Ma 001; Wen-tau Yih; Madian Khabsa (NAACL-HLT, 2021)

Assessing Political Prudence of Open-domain Chatbots. - Yejin Bang; Nayeon Lee; Etsuko Ishii; Andrea Madotto; Pascale Fung (SIGDIAL, 2021)

Towards Few-Shot Fact-Checking via Perplexity. - Nayeon Lee; Yejin Bang; Andrea Madotto; Madian Khabsa; Pascale Fung (CoRR, 2021)

Mitigating Media Bias through Neutral Article Generation. - Nayeon Lee; Yejin Bang; Andrea Madotto; Pascale Fung (CoRR, 2021)

Dynamically Addressing Unseen Rumor via Continual Learning. - Nayeon Lee; Andrea Madotto; Yejin Bang; Pascale Fung (CoRR, 2021)

Evaluating Parameter Efficient Learning for Generation. - Peng Xu 008; Mostofa Patwary; Shrimai Prabhumoye; Virginia Adams; Ryan Prenger; Wei Ping; Nayeon Lee; Mohammad Shoeybi; Bryan Catanzaro (EMNLP, 2022)

NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias. - Nayeon Lee; Yejin Bang; Tiezheng Yu; Andrea Madotto; Pascale Fung (NAACL-HLT, 2022)

Factuality Enhanced Language Models for Open-Ended Text Generation. - Nayeon Lee; Wei Ping; Peng Xu 008; Mostofa Patwary; Pascale Fung; Mohammad Shoeybi; Bryan Catanzaro (NeurIPS, 2022)

Single-Trace Attack Using One-Shot Learning With Siamese Network in Non-Profiled Setting. - Nayeon Lee; Seokhie Hong; Heeseok Kim (IEEE Access, 2022)

AiSocrates: Towards Answering Ethical Quandary Questions. - Yejin Bang; Nayeon Lee; Tiezheng Yu; Leila Khalatbari; Yan Xu 012; Dan Su 003; Elham J. Barezi; Andrea Madotto; Hayden Kee; Pascale Fung (CoRR, 2022)

Factuality Enhanced Language Models for Open-Ended Text Generation. - Nayeon Lee; Wei Ping; Peng Xu 008; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2022)

RHO ($ρ$): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding. - Ziwei Ji 001; Zihan Liu 001; Nayeon Lee; Tiezheng Yu; Bryan Wilie; Min Zeng; Pascale Fung (CoRR, 2022)

RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding. - Ziwei Ji 001; Zihan Liu 001; Nayeon Lee; Tiezheng Yu; Bryan Wilie; Min Zeng; Pascale Fung (ACL (Findings), 2023)

Mitigating Framing Bias with Polarity Minimization Loss. - Yejin Bang; Nayeon Lee; Pascale Fung (EMNLP (Findings), 2023)

Towards Mitigating LLM Hallucination via Self Reflection. - Ziwei Ji 001; Tiezheng Yu; Yan Xu 012; Nayeon Lee; Etsuko Ishii; Pascale Fung (EMNLP (Findings), 2023)

A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity. - Yejin Bang; Samuel Cahyawijaya; Nayeon Lee; Wenliang Dai; Dan Su 003; Bryan Wilie; Holy Lovenia; Ziwei Ji 001; Tiezheng Yu; Willy Chung; Quyet V. Do; Yan Xu 012; et al. (IJCNLP (1), 2023)

Autoscaled-Wavelet Convolutional Layer for Deep Learning-Based Side-Channel Analysis. - Daehyeon Bae; Dongjun Park; GyuSang Kim; Minsig Choi; Nayeon Lee; Heeseok Kim; Seokhie Hong (IEEE Access, 2023)

Machine Learning-Based Multi-Objective Design Exploration Of Flexible Disc Elements. - Gehendra Sharma; Sungkwang Mun; Nayeon Lee; Luke Peterson; Daniela Tellkamp; Anand Balu Nellippallil (CoRR, 2023)

CReHate: Cross-cultural Re-annotation of English Hate Speech Dataset. - Nayeon Lee; Chani Jung; Junho Myung; Jiho Jin; Juho Kim 001; Alice Oh (CoRR, 2023)

Survey of Social Bias in Vision-Language Models. - Nayeon Lee; Yejin Bang; Holy Lovenia; Samuel Cahyawijaya; Wenliang Dai; Pascale Fung (CoRR, 2023)

Towards Mitigating Hallucination in Large Language Models via Self-Reflection. - Ziwei Ji 001; Tiezheng Yu; Yan Xu 012; Nayeon Lee; Etsuko Ishii; Pascale Fung (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Survey of Hallucination in Natural Language Generation. - Ziwei Ji 001; Nayeon Lee; Rita Frieske; Tiezheng Yu; Dan Su 003; Yan Xu 012; Etsuko Ishii; Yejin Bang; Andrea Madotto; Pascale Fung (ACM Comput. Surv., 2023)

Measuring Political Bias in Large Language Models: What Is Said and How It Is Said. - Yejin Bang; Delong Chen; Nayeon Lee; Pascale Fung (ACL (1), 2024)

Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis. - Nayeon Lee; Chani Jung; Junho Myung; Jiho Jin; José Camacho-Collados; Juho Kim 001; Alice Oh (NAACL-HLT, 2024)

BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages. - Junho Myung; Nayeon Lee; Yi Zhou 019; Jiho Jin; Rifki Afina Putri; Dimosthenis Antypas; Hsuvas Borkakoty; Eunsu Kim; Carla Pérez-Almendros; Abinew Ali Ayele; Víctor Gutiérrez-Basulto; Yazmín Ibáñez-García; et al. (NeurIPS, 2024)

BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages. - Junho Myung; Nayeon Lee; Yi Zhou 019; Jiho Jin; Rifki Afina Putri; Dimosthenis Antypas; Hsuvas Borkakoty; Eunsu Kim; Carla Pérez-Almendros; Abinew Ali Ayele; Víctor Gutiérrez-Basulto; Yazmín Ibáñez-García; et al. (CoRR, 2024)

NVLM: Open Frontier-Class Multimodal LLMs. - Wenliang Dai; Nayeon Lee; Boxin Wang; Zhuoling Yang; Zihan Liu 001; Jon Barker; Tuomas Rintamaki; Mohammad Shoeybi; Bryan Catanzaro; Wei Ping (CoRR, 2024)

KoBBQ: Korean Bias Benchmark for Question Answering. - Jiho Jin; Jiseon Kim; Nayeon Lee; Haneul Yoo; Alice Oh; Hwaran Lee (Trans. Assoc. Comput. Linguistics, 2024)

Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning. - Alisson G. Azzolini; Hannah Brandon; Prithvijit Chattopadhyay; Huayu Chen; Jinju Chu; Yin Cui; Jenna Diamond; Yifan Ding; Francesco Ferroni; Rama Govindaraju; Jinwei Gu; Siddharth Gururani; et al. (CoRR, 2025)