---
title: "Minjoon Seo — all works — Elamur Research"
description: "All 27 works of Minjoon Seo in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/minjoon-seo/works/"
---
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# Minjoon Seo — all works

27 works · [← Minjoon Seo](https://md.research.elamur.ai/free/en/authors/minjoon-seo/)

1. [**Bidirectional Attention Flow for Machine Comprehension arXiv:1611.01603**Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, et al.*2016 · 1,988 citations*](https://md.research.elamur.ai/free/en/papers/seo-2016-bidirectional-attention-flow-machine-comprehension/)
2. **[Zero-Shot Relation Extraction via Reading Comprehension](https://md.research.elamur.ai/free/en/papers/levy-2017-zero-shot-relation-extraction-reading/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Omer Levy, Minjoon Seo, Eunsol Choi, et al.*2017 · 806 citations*
3. [**REPLUG: Retrieval-Augmented Black-Box Language Models arXiv:2301.12652**Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.*2023 · 492 citations*](https://md.research.elamur.ai/free/en/papers/shi-2023-replug-retrieval-augmented-black-box/)
4. **[MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension](https://md.research.elamur.ai/free/en/papers/fisch-2019-mrqa-2019-shared-task-evaluating/) [Workshop on Machine Reading for Question Answering](https://md.research.elamur.ai/free/en/venues/mrqa/)**Adam Fisch, Alon Talmor, Robin Jia, et al.*2019 · 381 citations*
5. **[Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension ↗](https://doi.org/10.1109/cvpr.2017.571) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Aniruddha Kembhavi et al.*2017 · 360 citations*
6. [**Prometheus: Inducing Fine-grained Evaluation Capability in Language Models arXiv:2310.08491**Seungone Kim, Jamin Shin, Yejin Cho, et al.*2023 · 281 citations*](https://md.research.elamur.ai/free/en/papers/kim-2023-prometheus-inducing-fine-grained-evaluation/)
7. [**Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models arXiv:2405.01535**Seungone Kim, Juyoung Suk, Shayne Longpre, et al.*2024 · 234 citations*](https://md.research.elamur.ai/free/en/papers/kim-2024-prometheus-2-open-source-language/)
8. [**A Diagram Is Worth A Dozen Images arXiv:1603.07396**Aniruddha Kembhavi, Mike Salvato, Eric Kolve, et al.*2016 · 231 citations*](https://md.research.elamur.ai/free/en/papers/kembhavi-2016-diagram-worth-dozen-images/)
9. **[Solving Geometry Problems: Combining Text and Diagram Interpretation](https://md.research.elamur.ai/free/en/papers/seo-2015-solving-geometry-problems-combining-text/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi, et al.*2015 · 220 citations*
10. **[Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index](https://md.research.elamur.ai/free/en/papers/seo-2019-real-time-open-domain-question/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, et al.*2019 · 218 citations*
11. **[A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization ↗](https://arxiv.org/abs/1902.01069) arXiv:1902.01069 · no summary yet**Wonseok Hwang et al.*2019 · 170 citations*
12. **[Question Answering through Transfer Learning from Large Fine-grained Supervision Data ↗](https://aclanthology.org/P17-2081/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Sewon Min, Minjoon Seo, Hannaneh Hajishirzi*2017 · 157 citations*
13. [**Knowledge Unlearning for Mitigating Privacy Risks in Language Models arXiv:2210.01504**Joel Jang, Dongkeun Yoon, Sohee Yang, et al.*2022 · 131 citations*](https://md.research.elamur.ai/free/en/papers/jang-2022-knowledge-unlearning-mitigating-privacy-risks/)
14. **[The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning](https://md.research.elamur.ai/free/en/papers/kim-2023-cot-collection-improving-zero-shot/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Seungone Kim, Se Joo, Doyoung Kim, et al.*2023 · 118 citations*
15. **[Spatial Dependency Parsing for Semi-Structured Document Information Extraction ↗](https://aclanthology.org/2021.findings-acl.28/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Wonseok Hwang et al.*2021 · 111 citations*
16. **[NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned ↗](https://arxiv.org/abs/2101.00133) arXiv (Cornell University) · no summary yet**Sewon Min et al.*2021 · 108 citations*
17. [**FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets arXiv:2307.10928**Seonghyeon Ye, Doyoung Kim, Sungdong Kim, et al.*2023 · 100 citations*](https://md.research.elamur.ai/free/en/papers/ye-2023-flask-fine-grained-language-model/)
18. **[Knowledge Unlearning for Mitigating Privacy Risks in Language Models ↗](https://aclanthology.org/2023.acl-long.805/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Joel Jang et al.*2023 · 87 citations*
19. **[Mixture Content Selection for Diverse Sequence Generation ↗](https://aclanthology.org/D19-1308/) 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 yet**Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi*2019 · 79 citations*
20. **[A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction ↗](https://arxiv.org/abs/2206.05224) arXiv:2206.05224 · no summary yet**Wonseok Hwang et al.*2022 · 70 citations*
21. [**Exploring the Benefits of Training Expert Language Models over Instruction Tuning arXiv:2302.03202**Joel Jang, Seungone Kim, Seonghyeon Ye, et al.*2023 · 63 citations*](https://md.research.elamur.ai/free/en/papers/jang-2023-exploring-benefits-training-expert-language/)
22. **[The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models ↗](https://aclanthology.org/2025.naacl-long.303/) 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 yet**Seungone Kim et al.*2025 · 57 citations*
23. **[LangBridge: Multilingual Reasoning Without Multilingual Supervision](https://md.research.elamur.ai/free/en/papers/yoon-2024-langbridge-multilingual-reasoning-without-multilingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dongkeun Yoon, Joel Jang, Sungdong Kim, et al.*2024 · 29 citations*
24. **[Latent Action Pretraining from Videos ↗](https://arxiv.org/abs/2410.11758) arXiv (Cornell University) · no summary yet**Seonghyeon Ye et al.*2024 · 27 citations*
25. **[Data-efficient end-to-end Information Extraction for Statistical Legal Analysis ↗](https://aclanthology.org/2022.nllp-1.12/) Proceedings of the Natural Legal Language Processing Workshop 2022 · no summary yet**Wonseok Hwang et al.*2022 · 6 citations*
26. **[The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think ↗](https://arxiv.org/abs/2505.10185) arXiv (Cornell University) · no summary yet**Seongyun Lee et al.*2025 · 4 citations*
27. **[Instruction Tuning with and without Context: Behavioral Shifts and Downstream Impact ↗](https://aclanthology.org/2026.eacl-long.320/) Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Hyunji Lee et al.*2026*