Kim, Gunhee

Big/little deep neural network for ultra low power inference

Park, E., Kim, D., Kim, S., Kim, Y.-D., Kim, G., Yoon, S., & Yoo, S. (2015) · 2015 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 130

Abstractive Summarization of Reddit Posts with Multi-level Memory Networks

Kim, B., Kim, H., & Kim, G. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Topic ModelingAdvanced Text Analysis Techniques

Cited by 96

AudioCaps: Generating Captions for Audios in The Wild

Kim, C. D., Kim, B., Lee, H., & Kim, G. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Speech Recognition and SynthesisMultimodal Machine Learning Applications

Cited by 96

ProsocialDialog: A prosocial backbone for conversational agents

Kim, H., Yu, Y., Jiang, L., Lu, X., Khashabi, D., Kim, G., Choi, Y., & Sap, M. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Speech and dialogue systemsEthics and Social Impacts of AI

Cited by 80

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization

Kim, H., Hessel, J., Jiang, L., West, P., Lu, X., Yu, Y., Zhou, P., Bras, R., Alikhani, M., Kim, G., et al. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Speech and dialogue systemsTopic Modeling

Cited by 63

Parameter Efficient Multimodal Transformers for Video Representation Learning

Lee, S., Yu, Y., Kim, G., Breuel, T., Kautz, J., & Song, Y. (2020) · arXiv

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 49

Video Question Answering with Spatio-Temporal Reasoning

Jang, Y., Song, Y., Kim, C. D., Yu, Y., Kim, Y., & Kim, G. (2019) · International Journal of Computer Vision

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 46

FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions

Kim, H., Sclar, M., Zhou, X., Bras, R., Kim, G., Choi, Y., & Sap, M. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Child and Animal Learning DevelopmentTopic Modeling

Cited by 27

KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications

Lee, H., Hong, S., Park, J., Kim, T., Kim, G., & Ha, J.-W. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 15

Who wrote this code? Watermarking for code generation

Lee, T., Hong, S., Ahn, J., Hong, I., Lee, H., Yun, S., Shin, J., & Kim, G. (2023) · arXiv

Software Engineering ResearchAdvanced Steganography and Watermarking Techniques

Cited by 4

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization

Kim, H., Hessel, J., Jiang, L., West, P., Lu, X., Yu, Y., Zhou, P., Bras, R. L., Alikhani, M., Kim, G., et al. (2022) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 3