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ORCIDYejin Choi
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Yejin Choi 0001
![[0000-0003-3032-5378]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3032-5378")
(aka: Ye Jin Choi 0001) — Stanford University, Department of Computer Science and Institute for Human-Centered AI (HAI), Stanford, CA, USA (and 4 more) - Yejin Choi 0002 (aka: Ye Jin Choi 0002) — Chungnam National University, Department of Mechatronics Engineering, Daejeon, Korea
- YeJin Choi 0003 (aka: Yejin Choi 0003) — Sungshin Women's University, Department of Future Convergence Technology Engineering, Seoul, Korea
- Yejin Choi 0004 — Yonsei University, South Korea
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2020 – today
- 2025
[c3]Jillian Fisher, Shangbin Feng, Robert Aron, Thomas Richardson, Yejin Choi, Daniel W. Fisher, Jennifer Pan, Yulia Tsvetkov, Katharina Reinecke:
Biased LLMs can Influence Political Decision-Making. ACL (1) 2025: 6559-6607- [c2]Brian Hu, David Chan, Taylor Sorensen, Xiusi Chen, Heng Ji, Yejin Choi, Trevor Darrell, Arslan Basharat:
A Roadmap for Alignable Algorithmic Decision-Makers in the Medical Triage Domain. CAI 2025: 1179-1183 - [i15]Linjie Li, Mahtab Bigverdi, Jiawei Gu, Zixian Ma, Yinuo Yang, Ziang Li, Yejin Choi, Ranjay Krishna:
Unfolding Spatial Cognition: Evaluating Multimodal Models on Visual Simulations. CoRR abs/2506.04633 (2025) - [i14]Zeqi Zhou, Fang Wu, Shayan Talaei, Haokai Zhao, Cheng Meixin, Tinson Xu, Amin Saberi, Yejin Choi:
When to Trust Context: Self-Reflective Debates for Context Reliability. CoRR abs/2506.06020 (2025) - [i13]Yubeen Bae, Minchan Kim, Jaejin Lee, Sangbum Kim, Jaehyung Kim, Yejin Choi, Niloofar Mireshghallah:
Privacy-Preserving LLM Interaction with Socratic Chain-of-Thought Reasoning and Homomorphically Encrypted Vector Databases. CoRR abs/2506.17336 (2025) - [i12]Brian Siyuan Zheng, Alisa Liu, Orevaoghene Ahia, Jonathan Hayase, Yejin Choi, Noah A. Smith:
Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations. CoRR abs/2506.19004 (2025) - [i11]Chan Young Park, Jillian Fisher, Marius Memmel, Dipika Khullar, Seoho Yun, Abhishek Gupta, Yejin Choi:
Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning. CoRR abs/2507.08224 (2025) - [i10]Mingjie Liu, Shizhe Diao, Jian Hu, Ximing Lu, Xin Dong, Hao Zhang, Alexander Bukharin, Shaokun Zhang, Jiaqi Zeng, Makesh Narsimhan Sreedhar, Gerald Shen, David Mosallanezhad, Di Zhang, Jonas Yang, June Yang, Oleksii Kuchaiev, Guilin Liu, Zhiding Yu, Pavlo Molchanov, Yejin Choi, Jan Kautz, Yi Dong:
Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training. CoRR abs/2507.12507 (2025) - [i9]Yusuke Hirota, Boyi Li, Ryo Hachiuma, Yueh-Hua Wu, Boris Ivanovic, Yuta Nakashima, Marco Pavone, Yejin Choi, Yu-Chiang Frank Wang, Chao-Han Huck Yang:
LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences. CoRR abs/2507.19362 (2025) - [i8]Yusuke Hirota, Ryo Hachiuma, Boyi Li, Ximing Lu, Michael Ross Boone, Boris Ivanovic, Yejin Choi, Marco Pavone, Yu-Chiang Wang, Noa Garcia, Yuta Nakashima, Chao-Han Huck Yang:
Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation. CoRR abs/2509.07596 (2025) - [i7]Hanqun Cao, Marcelo Der Torossian Torres, Jingjie Zhang, Zijun Gao, Fang Wu, Chunbin Gu, Jure Leskovec, Yejin Choi, Cesar de la Fuente-Nunez, Guangyong Chen, Pheng-Ann Heng:
A deep reinforcement learning platform for antibiotic discovery. CoRR abs/2509.18153 (2025) - [i6]Aaron Tu, Weihao Xuan, Heli Qi, Xu Huang, Qingcheng Zeng, Shayan Talaei, Yijia Xiao, Peng Xia, Xiangru Tang, Yuchen Zhuang, Bing Hu, Hanqun Cao, Wenqi Shi, Tianang Leng, Rui Yang, Yingjian Chen, Ziqi Wang, Irene Li, Nan Liu, Huaxiu Yao, Li Erran Li, Ge Liu, Amin Saberi, Naoto Yokoya, Jure Leskovec, Yejin Choi, Fang Wu:
Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards. CoRR abs/2509.21882 (2025) - [i5]Jian Hu, Mingjie Liu, Ximing Lu, Fang Wu, Zaïd Harchaoui, Shizhe Diao, Yejin Choi, Pavlo Molchanov, June Yang, Jan Kautz, Yi Dong:
BroRL: Scaling Reinforcement Learning via Broadened Exploration. CoRR abs/2510.01180 (2025) - [i4]Zhuofeng Li, Haoxiang Zhang, Seungju Han, Sheng Liu, Jianwen Xie, Yu Zhang, Yejin Choi, James Zou, Pan Lu:
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use. CoRR abs/2510.05592 (2025) - [i3]Shih-Yang Liu, Xin Dong, Ximing Lu, Shizhe Diao, Mingjie Liu, Min-Hung Chen, Hongxu Yin, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Yejin Choi, Jan Kautz, Pavlo Molchanov:
DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning. CoRR abs/2510.15110 (2025) - [i2]Jiyu Cui, Fang Wu, Haokai Zhao, Minggao Feng, Xenophon Evangelopoulos, Andrew I. Cooper, Yejin Choi:
L^2M^3OF: A Large Language Multimodal Model for Metal-Organic Frameworks. CoRR abs/2510.20976 (2025) - 2024
- [j1]Ruofei Du, Ye Jin Choi, Ji-Hyun Lee, Songthip T. Ounpraseuth, Zhuopei Hu:
A weight Jackknife approach utilizing linear model based-estimators for clustered data. Commun. Stat. Simul. Comput. 53(2): 1048-1067 (2024) - [i1]Linwei Hu, Ye Jin Choi, Vijayan N. Nair:
Cross Spline Net and a Unified World. CoRR abs/2410.19154 (2024) - 2020
- [c1]Ho Heon Kim, Hong Wook Kwon, Sambath Kao, Hyuk-Sang Sohn, Joohye Kim, Yejin Choi, Doora Kim, Mirae Kang, Yu Rang Park:
A Study of the Possibility of Detecting Pediatric Mild Developmental Delay Through a Serious Game: A Randomized Cluster Trial in Cambodia. MIE 2020: 736-740
Coauthor Index
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