🧑‍🔬 Hyung Won Chung — all works

28 works · ← Hyung Won Chung

1. PaLM: Scaling Language Modeling with PathwaysarXiv:2204.02311Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,753 citations
2. Large Language Models Encode Clinical KnowledgeNatureKaran Singhal, Shekoofeh Azizi, Tao Tu, et al.2022 · 4,492 citations
3. Scaling Instruction-Finetuned Language Models ↗arXiv:2210.11416 · no summary yetHyung Won Chung et al.2022 · 3,392 citations
4. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗arXiv:2211.05100 · no summary yetBigScience Workshop et al.2022 · 1,606 citations
5. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemFindings of the Association for Computational LinguisticsMirac Suzgun, Nathan Scales, Nathanael Schärli, et al.2023 · 1,119 citations
6. The Flan Collection: Designing Data and Methods for Effective Instruction TuningarXiv:2301.13688Shayne Longpre, Le Hou, Tu Vu, et al.2023 · 607 citations
7. Language Models are Multilingual Chain-of-Thought ReasonersarXiv:2210.03057Freda Shi, Mirac Suzgun, Markus Freitag, et al.2022 · 494 citations
8. UL2: Unifying Language Learning ParadigmsarXiv:2205.05131Yi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 347 citations
9. Charformer: Fast Character Transformers via Gradient-based Subword TokenizationarXiv:2106.12672Yi Tay, Vinh Q. Tran, Sebastian Ruder, et al.2021 · 186 citations
10. Measuring short-form factuality in large language modelsarXiv:2411.04368Jason Wei, Nguyen Karina, Hyung Won Chung, et al.2024 · 160 citations
11. Rethinking embedding coupling in pre-trained language modelsarXiv:2010.12821Hyung Won Chung, Thibault Févry, Henry Tsai, et al.2020 · 142 citations
12. Scaling Up Models and Data with t5x and seqio ↗arXiv:2203.17189 · no summary yetAdam Roberts et al.2022 · 130 citations
13. Learning Compact Metrics for MTConference on Empirical Methods in Natural Language Processing (EMNLP)Amy Pu, Hyung Won Chung, Ankur Parikh, et al.2021 · 130 citations
14. Do Transformer Modifications Transfer Across Implementations and Applications? ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetSharan Narang et al.2021 · 123 citations
15. Deliberative Alignment: Reasoning Enables Safer Language ModelsarXiv:2412.16339Melody Y. Guan, Manas Joglekar, Eric Wallace, et al.2024 · 115 citations
16. BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents ↗arXiv:2504.12516 · no summary yetJason Wei et al.2025 · 114 citations
17. Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers ↗arXiv (Cornell University) · no summary yetYi Tay et al.2021 · 104 citations
18. Adversarial Attacks Against Medical Deep Learning Systems ↗arXiv (Cornell University) · no summary yetSamuel G. Finlayson et al.2018 · 100 citations
19. Improving Multilingual Models with Language-Clustered Vocabularies ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetHyung Won Chung et al.2020 · 92 citations
20. Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?Findings of the Association for Computational LinguisticsYi Tay, Mostafa Dehghani, Samira Abnar, et al.2023 · 86 citations
21. Neural Data Augmentation via Example Extrapolation ↗arXiv (Cornell University) · no summary yetKenton Lee et al.2021 · 79 citations
22. Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language ModelsarXiv:2305.14705Sheng Shen, Le Hou, Yanqi Zhou, et al.2023 · 70 citations
23. A Simple and Effective Positional Encoding for Transformers ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetPu-Chin Chen et al.2021 · 69 citations
24. What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization? ↗arXiv:2204.05832 · no summary yetThomas Wang et al.2022 · 62 citations
25. Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared TaskConference on Machine Translation (WMT)Thibault Sellam, Amy Pu, Hyung Won Chung, et al.2020 · 55 citations
26. UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretraining ↗arXiv (Cornell University) · no summary yetHyung Won Chung et al.2023 · 54 citations
27. Transcending Scaling Laws with 0.1% Extra ComputearXiv:2210.11399Yi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 42 citations
28. Finding Fast Transformers: One-Shot Neural Architecture Search by Component Composition ↗arXiv (Cornell University) · no summary yetTsai, Henry et al.2020 · 15 citations

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