Yejin Bang

Orcid: 0000-0002-2968-0033

According to our database1, Yejin Bang authored at least 25 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
LLM Internal States Reveal Hallucination Risk Faced With a Query.
CoRR, 2024

The Pyramid of Captions.
CoRR, 2024

High-Dimension Human Value Representation in Large Language Models.
CoRR, 2024

A Humanoid Robot Dialogue System Architecture Targeting Patient Interview Tasks.
Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

Measuring Political Bias in Large Language Models: What Is Said and How It Is Said.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Survey of Hallucination in Natural Language Generation.
ACM Comput. Surv., December, 2023

Survey of Social Bias in Vision-Language Models.
CoRR, 2023

Learn What NOT to Learn: Towards Generative Safety in Chatbots.
CoRR, 2023

A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Mitigating Framing Bias with Polarity Minimization Loss.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness.
CoRR, 2022

Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values.
CoRR, 2022

AiSocrates: Towards Answering Ethical Quandary Questions.
CoRR, 2022

NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
Weakly-supervised Multi-task Learning for Multimodal Affect Recognition.
CoRR, 2021

Dynamically Addressing Unseen Rumor via Continual Learning.
CoRR, 2021

Mitigating Media Bias through Neutral Article Generation.
CoRR, 2021

Towards Few-Shot Fact-Checking via Perplexity.
CoRR, 2021

Assessing Political Prudence of Open-domain Chatbots.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Towards Few-shot Fact-Checking via Perplexity.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

The Adapter-Bot: All-In-One Controllable Conversational Model.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Model Generalization on COVID-19 Fake News Detection.
Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021

2020
Misinformation Has High Perplexity.
CoRR, 2020

XPersona: Evaluating Multilingual Personalized Chatbot.
CoRR, 2020

2019
Understanding the Shades of Sexism in Popular TV Series.
Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 2019


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