Seo, Minjoon

Zero-Shot Relation Extraction via Reading Comprehension

Levy, O., Seo, M., Choi, E., & Zettlemoyer, L. (2017) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 482

Zero-Shot Relation Extraction via Reading Comprehension

Levy, O., Seo, M., Choi, E., & Zettlemoyer, L. (2017) · Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)

Topic ModelingNatural Language Processing Techniques

Cited by 482

A Diagram is Worth a Dozen Images

Kembhavi, A., Salvato, M., Kolve, E., Seo, M., Hajishirzi, H., & Farhadi, A. (2016) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsHandwritten Text Recognition Techniques

Cited by 290

Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension

Kembhavi, A., Seo, M., Schwenk, D., Choi, J., Farhadi, A., & Hajishirzi, H. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 244

REPLUG: Retrieval-Augmented Black-Box Language Models

Shi, W., Min, S., Yasunaga, M., Seo, M., James, R., Lewis, M., Zettlemoyer, L., & Yih, W.-T. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 209

REPLUG: Retrieval-augmented black-box language models

Shi, W., Min, S., Yasunaga, M., Seo, M., James, R., Lewis, M., Zettlemoyer, L., & Yih, W.-T. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 65

Towards Continual Knowledge Learning of Language Models

Jang, J., Ye, S., Yang, S., Shin, J., Han, J., Kim, G., Choi, S. J., & Seo, M. (2021) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 49

TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models

Jang, J., Ye, S., Lee, C., Yang, S., Shin, J., Han, J., Kim, G., & Seo, M. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 45

Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision

Lee, S., Park, S. H., Jo, Y., & Seo, M. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Multimodal Machine Learning ApplicationsNatural Language Processing Techniques

Cited by 20

How do large language models acquire factual knowledge during pretraining?

Chang, H., Park, J., Ye, S., Yang, S., Seo, Y., Chang, D.-S., & Seo, M. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

Cited by 16

Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation

Lee, S., Kim, S., Park, S. H., Kim, G., & Seo, M. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 16

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

Kim, S., Shin, J., Cho, Y., Jang, J., Longpre, S., Lee, H., Yun, S., Shin, S., Kim, S., Thorne, J., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

Nonparametric Decoding for Generative Retrieval

Lee, H., Kim, J., Chang, H., Oh, H., Yang, S., Karpukhin, V., Lu, Y., & Seo, M. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Information Retrieval and Search BehaviorTopic Modeling

Cited by 9

Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models

Kim, S., Suk, J., Longpre, S., Lin, B. Y., Shin, J., Welleck, S., Neubig, G., Lee, M., Lee, K., & Seo, M. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 7

Knowledge Unlearning for Mitigating Privacy Risks in Language Models

Jang, J., Yoon, D., Yang, S., Cha, S., Lee, M., Logeswaran, L., & Seo, M. (2022) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 4

Gradient Ascent Post-training Enhances Language Model Generalization

Yoon, D., Jang, J., Kim, S., & Seo, M. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 3