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

XPersona: Evaluating Multilingual Personalized Chatbot. - Zhaojiang Lin; Zihan Liu 001; Genta Indra Winata; Samuel Cahyawijaya; Andrea Madotto; Yejin Bang; Etsuko Ishii; Pascale Fung (CoRR, 2020)

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

Model Generalization on COVID-19 Fake News Detection. - Yejin Bang; Etsuko Ishii; Samuel Cahyawijaya; Ziwei Ji 001; Pascale Fung (CONSTRAINT@AAAI, 2021)

The Adapter-Bot: All-In-One Controllable Conversational Model. - Zhaojiang Lin; Andrea Madotto; Yejin Bang; Pascale Fung (AAAI, 2021)

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

Weakly-supervised Multi-task Learning for Multimodal Affect Recognition. - Wenliang Dai; Samuel Cahyawijaya; Yejin Bang; Pascale Fung (CoRR, 2021)

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

Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values. - Yejin Bang; Tiezheng Yu; Andrea Madotto; Zhaojiang Lin; Mona T. Diab; Pascale Fung (CoRR, 2022)

Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness. - Caner Hazirbas; Yejin Bang; Tiezheng Yu; Parisa Assar; Bilal Porgali; Vítor Albiero; Stefan Hermanek; Jacqueline Pan; Emily McReynolds; Miranda Bogen; Pascale Fung; Cristian Canton-Ferrer (CoRR, 2022)

Mitigating Framing Bias with Polarity Minimization Loss. - Yejin Bang; Nayeon Lee; 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)

Learn What NOT to Learn: Towards Generative Safety in Chatbots. - Leila Khalatbari; Yejin Bang; Dan Su 003; Willy Chung; Saeed Ghadimi; Hossein Sameti; Pascale Fung (CoRR, 2023)

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

A Humanoid Robot Dialogue System Architecture Targeting Patient Interview Tasks. - Yifan Shen; Dingdong Liu; Yejin Bang; Ho Shu Chan; Rita Frieske; Hoo Choun Chung; Jay Nieles; Tianjia Zhang; Kien T. Pham 001; Wai Yi Rosita Cheng; Yini Fang; Qifeng Chen; et al. (RO-MAN, 2024)

The Pyramid of Captions. - Delong Chen; Samuel Cahyawijaya; Etsuko Ishii; Ho Shu Chan; Yejin Bang; Pascale Fung (CoRR, 2024)

LLM Internal States Reveal Hallucination Risk Faced With a Query. - Ziwei Ji 001; Delong Chen; Etsuko Ishii; Samuel Cahyawijaya; Yejin Bang; Bryan Wilie; Pascale Fung (CoRR, 2024)

HalluLens: LLM Hallucination Benchmark. - Yejin Bang; Ziwei Ji 001; Alan Schelten; Anthony Hartshorn; Tara Fowler; Cheng Zhang; Nicola Cancedda; Pascale Fung (ACL (1), 2025)

High-Dimension Human Value Representation in Large Language Models. - Samuel Cahyawijaya; Delong Chen; Yejin Bang; Leila Khalatbari; Bryan Wilie; Ziwei Ji 001; Etsuko Ishii; Pascale Fung (NAACL (Long Papers), 2025)

Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations. - Ziwei Ji 001; Lei Yu; Yeskendir Koishekenov; Yejin Bang; Anthony Hartshorn; Alan Schelten; Cheng Zhang; Pascale Fung; Nicola Cancedda (CoRR, 2025)

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning. - Delong Chen; Willy Chung; Yejin Bang; Ziwei Ji 001; Pascale Fung (CoRR, 2025)