---
title: "South Korea — works"
description: "Works of South Korea: 44 in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/countries/south-korea/works/"
---
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# Works of South Korea

44 · the most cited first · [← South Korea](https://md.research.elamur.ai/free/en/countries/south-korea/)

1. [**Highly accurate protein structure prediction with AlphaFold**John Jumper, Richard Evans, Alexander Pritzel, et al.*2021 · 43,470 citations*](https://md.research.elamur.ai/free/en/papers/jumper-2021-highly-accurate-protein-structure-prediction/)
2. [**BioBERT: a pre-trained biomedical language representation model for biomedical text mining**Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, et al.*2019 · 8,281 citations*](https://md.research.elamur.ai/free/en/papers/lee-2019-biobert-pre-trained-biomedical-language/)
3. [**ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision**Wonjae Kim, Bokyung Son, Ildoo Kim*2021 · 762 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-vilt-vision-language-transformer-convolution/)
4. [**Modeling Relation Paths for Representation Learning of Knowledge Bases**Yankai Lin, Zhiyuan Liu, Huanbo Luan, et al.*2015 · 695 citations*](https://md.research.elamur.ai/free/en/papers/lin-2015-modeling-relation-paths-representation-learning/)
5. [**OCR-free Document Understanding Transformer**Geewook Kim, Teakgyu Hong, Moonbin Yim, et al.*2021 · 580 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-ocr-free-document-understanding-transformer/)
6. [**REPLUG: Retrieval-Augmented Black-Box Language Models**Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.*2023 · 482 citations*](https://md.research.elamur.ai/free/en/papers/shi-2023-replug-retrieval-augmented-black-box/)
7. [**Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity**Soyeong Jeong, Jinheon Baek, Sukmin Cho, et al.*2024 · 381 citations*](https://md.research.elamur.ai/free/en/papers/jeong-2024-adaptive-rag-learning-adapt-retrieval/)
8. [**Large Language Models Are Reasoning Teachers**Namgyu Ho, Laura Schmid, Se-Young Yun*2023 · 368 citations*](https://md.research.elamur.ai/free/en/papers/ho-2023-large-language-models-are-reasoning/)
9. [**A Survey on Large Language Models for Code Generation**Juyong Jiang, Fan Wang, Jiasi Shen, et al.*2024 · 366 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2024-survey-large-language-models-code/)
10. [**Averaging Weights Leads to Wider Optima and Better Generalization**Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov, et al.*2018 · 355 citations*](https://md.research.elamur.ai/free/en/papers/izmailov-2018-averaging-weights-leads-wider-optima/)
11. [**Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages**Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila, et al.*2020 · 333 citations*](https://md.research.elamur.ai/free/en/papers/nekoto-2020-participatory-research-low-resourced-machine/)
12. [**Efficient Dialogue State Tracking by Selectively Overwriting Memory**Sungdong Kim, Sohee Yang, Gyuwan Kim, et al.*2020 · 268 citations*](https://md.research.elamur.ai/free/en/papers/kim-2020-efficient-dialogue-state-tracking-selectively/)
13. [**GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation**Kang Min Yoo, Dongju Park, Jaewook Kang, et al.*2021 · 267 citations*](https://md.research.elamur.ai/free/en/papers/yoo-2021-gpt3mix-leveraging-large-scale-language/)
14. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
15. [**Self-Guided Contrastive Learning for BERT Sentence Representations**Taeuk Kim, Kang Min Yoo, Sang-goo Lee*2021 · 234 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-self-guided-contrastive-learning-bert/)
16. [**Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models**Seungone Kim, Juyoung Suk, Shayne Longpre, et al.*2024 · 220 citations*](https://md.research.elamur.ai/free/en/papers/kim-2024-prometheus-2-open-source-language/)
17. [**Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index**Minjoon Seo, Jinhyuk Lee, Tom Kwiatkowski, et al.*2019 · 216 citations*](https://md.research.elamur.ai/free/en/papers/seo-2019-real-time-open-domain-question/)
18. [**SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization**Hyunwoo Kim, Jack Hessel, Liwei Jiang, et al.*2023 · 201 citations*](https://md.research.elamur.ai/free/en/papers/kim-2023-soda-million-scale-dialogue-distillation/)
19. [**ISO 24617-2: A semantically-based standard for dialogue annotation**Harry Bunt, Jan Alexandersson, Jae-Woong Choe, et al.*2012 · 182 citations*](https://md.research.elamur.ai/free/en/papers/bunt-2012-iso-24617-2-semantically-based/)
20. [**Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation**Shivalika Singh, Angelika Romanou, Clémentine Fourrier, et al.*2025 · 179 citations*](https://md.research.elamur.ai/free/en/papers/singh-2025-global-mmlu-understanding-addressing-cultural/)
21. [**ProsocialDialog: A Prosocial Backbone for Conversational Agents**Hyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.*2022 · 149 citations*](https://md.research.elamur.ai/free/en/papers/kim-2022-prosocialdialog-prosocial-backbone-conversational-agents/)
22. [**Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step**Liunian Harold Li, Jack Hessel, Youngjae Yu, et al.*2023 · 139 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-symbolic-chain-thought-distillation-small/)
23. [**Knowledge Unlearning for Mitigating Privacy Risks in Language Models**Joel Jang, Dongkeun Yoon, Sohee Yang, et al.*2022 · 126 citations*](https://md.research.elamur.ai/free/en/papers/jang-2022-knowledge-unlearning-mitigating-privacy-risks/)
24. [**Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes**Hyunwoo Kim, Byeongchang Kim, Gunhee Kim*2021 · 90 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-perspective-taking-pragmatics-generating-empathetic/)
25. [**Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness**Hyunwoo Kim, Byeongchang Kim, Gunhee Kim*2020 · 82 citations*](https://md.research.elamur.ai/free/en/papers/kim-2020-will-i-sound-like-me/)
26. [**Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks**Jimin Sun, Hwijeen Ahn, Chan Young Park, et al.*2021 · 28 citations*](https://md.research.elamur.ai/free/en/papers/sun-2021-cross-cultural-similarity-features-cross/)
27. [**The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error**Katherine Atwell, Anthony Sicilia, Seong Jae Hwang, et al.*2022 · 27 citations*](https://md.research.elamur.ai/free/en/papers/atwell-2022-change-that-matters-discourse-parsing/)
28. [**Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context**Hankyol Lee, Youngjae Yu, Gunhee Kim*2020 · 27 citations*](https://md.research.elamur.ai/free/en/papers/lee-2020-augmenting-data-sarcasm-detection-unlabeled/)
29. [**Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Models**Yeeun Kim, Youngrok Choi, Eunkyung Choi, et al.*2024 · 22 citations*](https://md.research.elamur.ai/free/en/papers/kim-2024-developing-pragmatic-benchmark-assessing-korean/)
30. [**Robustifying Multi-hop QA through Pseudo-Evidentiality Training**Kyungjae Lee, Seung-won Hwang, Sang-eun Han, et al.*2021 · 19 citations*](https://md.research.elamur.ai/free/en/papers/lee-2021-robustifying-multi-hop-qa-through/)
31. [**MultiPragEval: Multilingual Pragmatic Evaluation of Large Language Models**Dojun Park, Jiwoo Lee, Seohyun Park, et al.*2024 · 17 citations*](https://md.research.elamur.ai/free/en/papers/park-2024-multiprageval-multilingual-pragmatic-evaluation-large/)
32. [**Korean FrameNet Expansion Based on Projection of Japanese FrameNet**Jeong-uk Kim, Younggyun Hahm, Key-Sun Choi*2016 · 12 citations*](https://md.research.elamur.ai/free/en/papers/kim-2016-korean-framenet-expansion-based-projection/)
33. [**Memorization or Reasoning? Exploring the Idiom Understanding of LLMs**Jisu Kim, Youngwoo Shin, Uiji Hwang, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/kim-2025-memorization-or-reasoning-exploring-idiom/)
34. [**Pragmatic Competence Evaluation of Large Language Models for the Korean Language**Dojun Park, Jiwoo Lee, Hyeyun Jeong, et al.*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/park-2024-pragmatic-competence-evaluation-large-language/)
35. [**FantasyCoref: Coreference Resolution on Fantasy Literature Through Omniscient Writer's Point of View**Sooyoun Han, Sumin Seo, Minji Kang, et al.*2021 · 9 citations*](https://md.research.elamur.ai/free/en/papers/han-2021-fantasycoref-coreference-resolution-fantasy-literature/)
36. [**The Pipeline Model for Resolution of Anaphoric Reference and Resolution of Entity Reference**Hongjin Kim, Damrin Kim, Harksoo Kim*2021 · 8 citations*](https://md.research.elamur.ai/free/en/papers/kim-2021-pipeline-model-resolution-anaphoric-reference/)
37. [**Exclaiming non-sententially: exclamative sluices and the (non-elliptical) nature of ellipsis constructions**Jonathan Ginzburg, Jong-Bok Kim*2023 · 5 citations*](https://md.research.elamur.ai/free/en/papers/ginzburg-2023-exclaiming-non-sententially-exclamative-sluices/)
38. [**PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question Answering**Wookje Han, Jinsol Park, Kyungjae Lee*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/han-2023-prewome-exploiting-presuppositions-as-working/)
39. [**Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders**Yuwei Zhang, Siffi Singh, Sailik Sengupta, et al.*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-can-your-model-tell-negation/)
40. [**A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings**Fitsum Gaim, Hoyun Song, Huije Lee, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/gaim-2025-multi-task-benchmark-abusive-language/)
41. [**Tie-Calibrated COMETKiwi for Speech Translation Quality Estimation: IWSLT2026 Metrics Track**Mubashir Hussain Shah, Aymen Fatima, Kiho Choi, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shah-2026-tie-calibrated-cometkiwi-speech-translation/)
42. [**Semi-automatic Annotation of Event Structure, Argument Structure, and Opposition Structure to WordNet by Using Event Structure Frame**Seohyun Im*2019*](https://md.research.elamur.ai/free/en/papers/im-2019-semi-automatic-annotation-event-structure/)
43. [**Resolving Multiple Wh-Fragments: A Syntax-Pragmatics Approach**Sang-Hee Park*2009*](https://md.research.elamur.ai/free/en/papers/park-2009-resolving-multiple-wh-fragments-syntax/)
44. [**From Categories to Decisions: A Framework for Attitudinal Analysis of Evaluative Language**Jiamei Zeng, Haitao Wang, Harry Bunt, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zeng-2026-categories-decisions-framework-attitudinal-analysis/)
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