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Minjoon Seo — all works

27 works · ← Minjoon Seo

  1. Bidirectional Attention Flow for Machine ComprehensionarXiv:1611.01603Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, et al.2016 · 1,988 citations
  2. REPLUG: Retrieval-Augmented Black-Box Language ModelsarXiv:2301.12652Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.2023 · 492 citations
  3. Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAniruddha Kembhavi et al.2017 · 360 citations
  4. Prometheus: Inducing Fine-grained Evaluation Capability in Language ModelsarXiv:2310.08491Seungone Kim, Jamin Shin, Yejin Cho, et al.2023 · 281 citations
  5. Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language ModelsarXiv:2405.01535Seungone Kim, Juyoung Suk, Shayne Longpre, et al.2024 · 234 citations
  6. A Diagram Is Worth A Dozen ImagesarXiv:1603.07396Aniruddha Kembhavi, Mike Salvato, Eric Kolve, et al.2016 · 231 citations
  7. A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization ↗arXiv:1902.01069 · no summary yetWonseok Hwang et al.2019 · 170 citations
  8. Question Answering through Transfer Learning from Large Fine-grained Supervision Data ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetSewon Min, Minjoon Seo, Hannaneh Hajishirzi2017 · 157 citations
  9. Knowledge Unlearning for Mitigating Privacy Risks in Language ModelsarXiv:2210.01504Joel Jang, Dongkeun Yoon, Sohee Yang, et al.2022 · 131 citations
  10. Spatial Dependency Parsing for Semi-Structured Document Information Extraction ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetWonseok Hwang et al.2021 · 111 citations
  11. NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned ↗arXiv (Cornell University) · no summary yetSewon Min et al.2021 · 108 citations
  12. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsarXiv:2307.10928Seonghyeon Ye, Doyoung Kim, Sungdong Kim, et al.2023 · 100 citations
  13. Knowledge Unlearning for Mitigating Privacy Risks in Language Models ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJoel Jang et al.2023 · 87 citations
  14. Mixture Content Selection for Diverse Sequence Generation ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetJaemin Cho, Minjoon Seo, Hannaneh Hajishirzi2019 · 79 citations
  15. A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction ↗arXiv:2206.05224 · no summary yetWonseok Hwang et al.2022 · 70 citations
  16. Exploring the Benefits of Training Expert Language Models over Instruction TuningarXiv:2302.03202Joel Jang, Seungone Kim, Seonghyeon Ye, et al.2023 · 63 citations
  17. The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetSeungone Kim et al.2025 · 57 citations
  18. Latent Action Pretraining from Videos ↗arXiv (Cornell University) · no summary yetSeonghyeon Ye et al.2024 · 27 citations
  19. Data-efficient end-to-end Information Extraction for Statistical Legal Analysis ↗Proceedings of the Natural Legal Language Processing Workshop 2022 · no summary yetWonseok Hwang et al.2022 · 6 citations
  20. The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think ↗arXiv (Cornell University) · no summary yetSeongyun Lee et al.2025 · 4 citations
  21. Instruction Tuning with and without Context: Behavioral Shifts and Downstream Impact ↗Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetHyunji Lee et al.2026

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