Alice Oh


alice.oh (at) kaist.edu
Professor
School of Computing, KAIST
Director, MARS AI Research Center
Google Scholar

About

Hello, I am a professor at KAIST in the School of Computing with joint appointment in the Graduate School of AI. My research interests are in developing and applying machine learning models for natural language processing. Please read through the pages for my research group for the latest updates.

Recent Publications (Google Scholar)

  1. Junho Myung, Nayeon Lee, Yi Zhou, Jiho Jin, Rifki Afina Putri, Dimosthenis Antypas, Hsuvas Borkakoty, Eunsu Kim, Carla Perez-Almendros, Abinew Ali Ayele, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Hwaran Lee, Shamsuddeen Hassan Muhammad, Kiwoong Park, Anar Sabuhi Rzayev, Nina White, Seid Muhie Yimam, Mohammad Taher Pilehvar, Nedjma Ousidhoum, Jose Camacho-Collados, Alice Oh. BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages. NeurIPS 2024 Datasets & Benchmarks Track.
  2. Chani Jung, Dongkwan Kim, Jiho Jin, Jiseon Kim, Yeon Seonwoo, Yejin Choi, Alice Oh, Hyunwoo Kim. Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models. EMNLP 2024.
  3. Rifki Afina Putri, Faiz Ghifari Haznitrama, Dea Adhista, Alice Oh. Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese. EMNLP 2024.
  4. Sheikh Shafayat, Eunsu Kim, Juhyun Oh, Alice Oh. Multi-FAct for Multi-lingual Factuality Evaluation. COLM 2024.
  5. Sheikh Shafayat, H M Quamran Hasan, Minhajur Rahman Chowdhury Mahim, Rifki Afina Putri, James Thorne, Alice Oh. BEnQA: A Question Answering Benchmark for Bengali and English. ACL 2024 Findings.
  6. Dongkwan Kim and Alice Oh. Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning. ICML 2024.
  7. Jiho Jin, Jiseon Kim, Nayeon Lee, Haneul Yoo, Alice Oh, Hwaran Lee. KoBBQ: Korean Bias Benchmark for Question Answering. Accepted to TACL 2024
  8. Jungbin Son, Alice Oh. Time-Aware Representation Learning for Time-Sensitive Question Answering. EMNLP 2023 (EMNLP-Findings 2023, Short).
  9. Haneul Yoo, Rifki Afina Putri, Changyoon Lee, Youngin Lee, So-Yeon Ahn, Dongyeop Kang, Alice Oh. Rethinking Annotation: Can Language Learners Contribute?. ACL 2023.
  10. Yeon Seonwoo, Guoyin Wang, Changmin Seo, Sajal Choudhary, Jiwei Li, Xiang Li, Puyang Xu, Sunghyun Park, Alice Oh. Ranking-Enhanced Unsupervised Sentence Representation Learning. ACL 2023.
  11. Soyoung Yoon, Sungjoon Park, Gyuwan Kim, Junhee Cho, Kihyo Park, Gyu Tae Kim, Minjoon Seo, Alice Oh. Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation. ACL 2023.
  12. Hwaran Lee, Seokhee Hong, Joonsuk Park, Takyoung Kim, Meeyoung Cha, Yejin Choi, Byoungpil Kim, Gunhee Kim, Eun-Ju Lee, Yong Lim, Alice Oh, Sangchul Park, Jung-Woo Ha. SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration. ACL 2023.
  13. Younghoon Jeong, Juhyun Oh, Jaimeen Ahn, Jongwon Lee, Jihyung Moon, Sungjoon Park, Alice Oh. KOLD: Korean Offensive Language Dataset. EMNLP 2022.
  14. Rifki Afina Putri and Alice Oh. IDK-MRC: Unanswerable Questions for Indonesian Machine Reading Comprehension. EMNLP 2022.
  15. Juhee Son, Jiho Jin, Haneul Yoo, JinYeong Bak, Kyunghyun Cho, Alice Oh. Translating Hanja Historical Documents to Contemporary Korean and English. EMNLP-Findings 2022.
  16. Yeon Seonwoo, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, Alice Oh. Virtual Knowledge Graph Construction for Zero-Shot Domain-Specific Document Retrieval. Coling 2022.
  17. Dongkwan Kim, Jiho Jin, Jaimeen Ahn and Alice Oh. Models and Benchmarks for Representation Learning of Partially Observed Subgraphs. CIKM 2022.
  18. Jaimeen Ahn, Hwaran Lee, Jinhwa Kim, Alice Oh. Why Knowledge Distillation Amplifies Gender Bias and How to Mitigate from the Perspective of DistilBERT. Workshop on Gender Bias in Natural Language Processing (GeBNLP) at NAACL 2022.
  19. Haneul Yoo, Jiho Jin, Juhee Son, JinYeong Bak, Kyunghyun Cho, Alice Oh. HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea. NAACL 2022.
  20. Changyoon Lee, Yeon Seonwoo, Alice Oh. CS1QA: A Dataset for Assisting Code-based Question Answering in an Introductory Programming Course. NAACL 2022.
  21. Yeon Seonwoo, Juhee Son, Jiho Jin, Sang-Woo Lee, Ji-Hoon Kim, Jung-Woo Ha, Alice Oh. Two-Step Question Retrieval for Open-Domain QA. ACL 2022 (Short).
  22. Jaimeen Ahn and Alice Oh. Mitigating Language-Dependent Ethnic Bias in BERT. EMNLP 2021.
  23. Jiseon Kim, Elden Griggs, In Song Kim and Alice Oh. Learning Bill Similarity with Annotated and Augmented Corpora of Bills. EMNLP 2021.
  24. Sungjoon Park, Jiseon Kim, Seonghyeon Ye, Jaeyeol Jeon, Hee Young Park and Alice Oh. Dimensional Emotion Detection from Categorical Emotions. EMNLP 2021.
  25. Seonghyeon Ye, Jiseon Kim and Alice Oh. Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning. EMNLP 2021.
  26. Yohan Jo, Haneul Yoo, JinYeong Bak, Alice Oh, Chris Reed and Eduard Hovy. Knowledge-Enhanced Evidence Retrieval for Counterargument Generation. EMNLP-Findings 2021.
  27. Yeon Seonwoo, Sang-Woo Lee, Ji-Hoon Kim, Jung-Woo Ha, and Alice Oh. Weakly Supervised Pre-Training for Multi-Hop Retriever. ACL-Findings 2021.
  28. Jeongmin Byeon, Jungkook Park, and Alice Oh. Cocode: Providing Social Presence with Co-learner Screen Sharing in Online Programming Classes. CSCW 2021.
  29. Dongkwan Kim and Alice Oh. How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision. ICLR 2021.

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