KoBBQ: Korean Bias Benchmark for Question Answering.
Trans. Assoc. Comput. Linguistics, 2024
NVLM: Open Frontier-Class Multimodal LLMs.
CoRR, 2024
BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 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
Survey of Hallucination in Natural Language Generation.
ACM Comput. Surv., December, 2023
Towards Mitigating Hallucination in Large Language Models via Self-Reflection.
CoRR, 2023
Survey of Social Bias in Vision-Language Models.
CoRR, 2023
CReHate: Cross-cultural Re-annotation of English Hate Speech Dataset.
CoRR, 2023
Machine Learning-Based Multi-Objective Design Exploration Of Flexible Disc Elements.
CoRR, 2023
Autoscaled-Wavelet Convolutional Layer for Deep Learning-Based Side-Channel Analysis.
IEEE Access, 2023
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.
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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
Towards Mitigating LLM Hallucination via Self Reflection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Mitigating Framing Bias with Polarity Minimization Loss.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
RHO ($ρ$): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding.
CoRR, 2022
Factuality Enhanced Language Models for Open-Ended Text Generation.
CoRR, 2022
AiSocrates: Towards Answering Ethical Quandary Questions.
CoRR, 2022
Single-Trace Attack Using One-Shot Learning With Siamese Network in Non-Profiled Setting.
IEEE Access, 2022
Factuality Enhanced Language Models for Open-Ended Text Generation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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
Evaluating Parameter Efficient Learning for Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
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
On Unifying Misinformation Detection.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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
Misinformation Has High Perplexity.
CoRR, 2020
Language Models as Fact Checkers?
CoRR, 2020
Effect of pre-training to build a regression model using shallow neural network for semiconductor plasma etch process equipment.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Team yeon-zi at SemEval-2019 Task 4: Hyperpartisan News Detection by De-noising Weakly-labeled Data.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019
Exploring Social Bias in Chatbots using Stereotype Knowledge.
Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 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
Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Emojive! Collecting Emotion Data from Speech and Facial Expression Using Mobile Game App.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017