| Prometheus: Inducing fine-grained evaluation capability in language models S Kim, J Shin, Y Cho, J Jang, S Longpre, H Lee, S Yun, S Shin, S Kim, ... ICLR 2024, 2023 | 386 | 2023 |
| Prometheus 2: An open source language model specialized in evaluating other language models S Kim, J Suk, S Longpre, BY Lin, J Shin, S Welleck, G Neubig, M Lee, ... EMNLP 2024, 2024 | 343 | 2024 |
| Personalized soups: Personalized large language model alignment via post-hoc parameter merging J Jang, S Kim, BY Lin, Y Wang, J Hessel, L Zettlemoyer, H Hajishirzi, ... NeurIPS 2024 AFM Workshop, 2023 | 221 | 2023 |
| Flask: Fine-grained language model evaluation based on alignment skill sets S Ye, D Kim, S Kim, H Hwang, S Kim, Y Jo, J Thorne, J Kim, M Seo ICLR 2024 (Spotlight), 2023 | 154 | 2023 |
| The cot collection: Improving zero-shot and few-shot learning of language models via chain-of-thought fine-tuning S Kim, SJ Joo, D Kim, J Jang, S Ye, J Shin, M Seo EMNLP 2023, 2023 | 152 | 2023 |
| Consent in Crisis: The Rapid Decline of the AI Data Commons S Longpre, R Mahari, A Lee, C Lund, H Oderinwale, W Brannon, ... NeurIPS 2024, 2024 | 106 | 2024 |
| Exploring the benefits of training expert language models over instruction tuning J Jang, S Kim, S Ye, D Kim, L Logeswaran, M Lee, K Lee, M Seo ICML 2023, 2023 | 97 | 2023 |
| Kmmlu: Measuring massive multitask language understanding in korean G Son, H Lee, S Kim, S Kim, N Muennighoff, T Choi, C Park, KM Yoo, ... NAACL 2025, 2024 | 85 | 2024 |
| Prometheusvision: Vision-language model as a judge for fine-grained evaluation S Lee, S Kim, SH Park, G Kim, M Seo ACL 2024 Findings, 2024 | 73 | 2024 |
| Aligning to thousands of preferences via system message generalization S Lee, SH Park, S Kim, M Seo NeurIPS 2024, 2024 | 71 | 2024 |
| Pangea: A fully open multilingual multimodal llm for 39 languages X Yue, Y Song, A Asai, S Kim, JD Nyandwi, S Khanuja, A Kantharuban, ... ICLR 2025, 2024 | 57 | 2024 |
| The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models S Kim, J Suk, JY Cho, S Longpre, C Kim, D Yoon, G Son, Y Cho, ... NAACL 2025 (🏆 Best Paper Award 🏆), 2024 | 51* | 2024 |
| Self-Explore to Avoid the Pit: Improving the Reasoning Capabilities of Language Models with Fine-grained Rewards H Hwang, D Kim, S Kim, S Ye, M Seo EMNLP 2024 Findings, 2024 | 46* | 2024 |
| Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning M Huan, Y Li, T Zheng, X Xu, S Kim, M Du, R Poovendran, G Neubig, ... arXiv preprint arXiv:2507.00432, 2025 | 45* | 2025 |
| Langbridge: Multilingual reasoning without multilingual supervision D Yoon, J Jang, S Kim, S Kim, S Shafayat, M Seo ACL 2024, 2024 | 37 | 2024 |
| MM-Eval: A Multilingual Meta-Evaluation Benchmark for LLM-as-a-Judge and Reward Models G Son, D Yoon, J Suk, J Aula-Blasco, M Aslan, VT Kim, SB Islam, ... arXiv preprint arXiv:2410.17578, 2024 | 29* | 2024 |
| Language models as compilers: Simulating pseudocode execution improves algorithmic reasoning in language models H Chae, Y Kim, S Kim, KT Ong, B Kwak, M Kim, S Kim, T Kwon, J Chung, ... EMNLP 2024, 2024 | 29* | 2024 |
| Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once? G Son, S Baek, S Nam, I Jeong, S Kim ACL 2024, 2024 | 27 | 2024 |
| Reasoning models better express their confidence D Yoon, S Kim, S Yang, S Kim, S Kim, Y Kim, E Choi, Y Kim, M Seo NeurIPS 2025, 2025 | 26* | 2025 |
| Mind the gap! injecting commonsense knowledge for abstractive dialogue summarization S Kim, SJ Joo, H Chae, C Kim, S Hwang, J Yeo COLING 2022, 2022 | 26 | 2022 |
Minjoon SeoConfig Intelligence; KAISTVerified email at kaist.ac.kr
