Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization. - Seungone Kim; Se June Joo; Hyungjoo Chae; Chaehyeong Kim; Seung-won Hwang; Jinyoung Yeo (COLING, 2022)

Can Language Models perform Abductive Commonsense Reasoning? - Seungone Kim (CoRR, 2022)

CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification. - Seungone Kim; Se June Joo; Yul Jang; Hyungjoo Chae; Jinyoung Yeo (EACL (System Demonstrations), 2023)

The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning. - Seungone Kim; Se June Joo; Doyoung Kim 001; Joel Jang; Seonghyeon Ye; Jamin Shin; Minjoon Seo (EMNLP, 2023)

Exploring the Benefits of Training Expert Language Models over Instruction Tuning. - Joel Jang; Seungone Kim; Seonghyeon Ye; Doyoung Kim 001; Lajanugen Logeswaran; Moontae Lee; Kyungjae Lee 002; Minjoon Seo (ICML, 2023)

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models. - Seungone Kim; Jamin Shin; Yejin Cho; Joel Jang; Shayne Longpre; Hwaran Lee; Sangdoo Yun; Seongjin Shin; Sungdong Kim; James Thorne; Minjoon Seo (CoRR, 2023)

Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging. - Joel Jang; Seungone Kim; Bill Yuchen Lin; Yizhong Wang; Jack Hessel; Luke Zettlemoyer; Hannaneh Hajishirzi; Yejin Choi 001; Prithviraj Ammanabrolu (CoRR, 2023)

Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation. - Seongyun Lee; Seungone Kim; Sue Hyun Park; Geewook Kim; Minjoon Seo (ACL (Findings), 2024)

Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once? - Guijin Son; Sangwon Baek; Sangdae Nam; Ilgyun Jeong; Seungone Kim (ACL (1), 2024)

LangBridge: Multilingual Reasoning Without Multilingual Supervision. - Dongkeun Yoon; Joel Jang; Sungdong Kim; Seungone Kim; Sheikh Shafayat; Minjoon Seo (ACL (1), 2024)

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models. - Hyungjoo Chae; Yeonghyeon Kim; Seungone Kim; Kai Tzu-iunn Ong; Beong-woo Kwak; Moohyeon Kim; Sunghwan Kim; Taeyoon Kwon; Jiwan Chung; Youngjae Yu; Jinyoung Yeo (EMNLP, 2024)

Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards. - Hyeonbin Hwang; Doyoung Kim 001; Seungone Kim; Seonghyeon Ye; Minjoon Seo (EMNLP (Findings), 2024)

Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models. - Seungone Kim; Juyoung Suk; Shayne Longpre; Bill Yuchen Lin; Jamin Shin; Sean Welleck; Graham Neubig; Moontae Lee; Kyungjae Lee 002; Minjoon Seo (EMNLP, 2024)

Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models. - Seungone Kim; Jamin Shin; Yejin Choi 001; Joel Jang; Shayne Longpre; Hwaran Lee; Sangdoo Yun; Seongjin Shin; Sungdong Kim; James Thorne; Minjoon Seo (ICLR, 2024)

FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets. - Seonghyeon Ye; Doyoung Kim 001; Sungdong Kim; Hyeonbin Hwang; Seungone Kim; Yongrae Jo; James Thorne; Juho Kim 001; Minjoon Seo (ICLR, 2024)

Aligning to Thousands of Preferences via System Message Generalization. - Seongyun Lee; Sue Hyun Park; Seungone Kim; Minjoon Seo (NeurIPS, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - Shayne Longpre; Robert Mahari; Ariel Lee; Campbell Lund; Hamidah Oderinwale; William Brannon; Nayan Saxena; Naana Obeng-Marnu; Tobin South; Cole Hunter; Kevin Klyman; Christopher Klamm; et al. (NeurIPS, 2024)

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models. - Hyungjoo Chae; Yeonghyeon Kim; Seungone Kim; Kai Tzu-iunn Ong; Beong-woo Kwak; Moohyeon Kim; Seonghwan Kim 004; Taeyoon Kwon; Jiwan Chung; Youngjae Yu; Jinyoung Yeo (CoRR, 2024)

Self-Explore to Avoid the Pit: Improving the Reasoning Capabilities of Language Models with Fine-grained Rewards. - Hyeonbin Hwang; Doyoung Kim 001; Seungone Kim; Seonghyeon Ye; Minjoon Seo (CoRR, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - Shayne Longpre; Robert Mahari; Ariel Lee; Campbell Lund; Hamidah Oderinwale; William Brannon; Nayan Saxena; Naana Obeng-Marnu; Tobin South; Cole Hunter; Kevin Klyman; Christopher Klamm; et al. (CoRR, 2024)

Can Language Models Evaluate Human Written Text? Case Study on Korean Student Writing for Education. - Seungyoon Kim; Seungone Kim (CoRR, 2024)

MM-Eval: A Multilingual Meta-Evaluation Benchmark for LLM-as-a-Judge and Reward Models. - Guijin Son; Dongkeun Yoon; Juyoung Suk; Javier Aula-Blasco; Mano Aslan; Vu Trong Kim; Shayekh Bin Islam; Jaume Prats-Cristià; Lucía Tormo-Bañuelos; Seungone Kim (CoRR, 2024)

Bridging the Data Provenance Gap Across Text, Speech and Video. - Shayne Longpre; Nikhil Singh 003; Manuel Cherep; Kushagra Tiwary; Joanna Materzynska; William Brannon; Robert Mahari; Manan Dey; Mohammed Hamdy; Nayan Saxena; Ahmad Mustafa Anis; Emad A. Alghamdi; et al. (CoRR, 2024)

LLM-as-an-Interviewer: Beyond Static Testing Through Dynamic LLM Evaluation. - Eunsu Kim; Juyoung Suk; Seungone Kim; Niklas Muennighoff; Dongkwan Kim 001; Alice Oh (ACL (Findings), 2025)

Evaluating Language Models as Synthetic Data Generators. - Seungone Kim; Juyoung Suk; Xiang Yue; Vijay Viswanathan 002; Seongyun Lee; Yizhong Wang; Kiril Gashteovski; Carolin Lawrence; Sean Welleck; Graham Neubig (ACL (1), 2025)

Better Instruction-Following Through Minimum Bayes Risk. - Ian Wu; Patrick Fernandes; Amanda Bertsch; Seungone Kim; Sina Khoshfetrat Pakazad; Graham Neubig (ICLR, 2025)

Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages. - Xiang Yue; Yueqi Song; Akari Asai; Seungone Kim; Jean de Dieu Nyandwi; Simran Khanuja; Anjali Kantharuban; Lintang Sutawika; Sathyanarayanan Ramamoorthy; Graham Neubig (ICLR, 2025)

The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. - Seungone Kim; Juyoung Suk; Ji Yong Cho; Shayne Longpre; Chaeeun Kim; Dongkeun Yoon; Guijin Son; Yejin Choi 001; Sheikh Shafayat; Jinheon Baek; Sue Hyun Park; Hyeonbin Hwang; et al. (NAACL (Long Papers), 2025)

KMMLU: Measuring Massive Multitask Language Understanding in Korean. - Guijin Son; Hanwool Lee; Sungdong Kim; Seungone Kim; Niklas Muennighoff; Taekyoon Choi; Cheonbok Park; Kang Min Yoo; Stella Biderman (NAACL (Long Papers), 2025)

Scaling Evaluation-time Compute with Reasoning Models as Process Evaluators. - Seungone Kim; Ian Wu; Jinu Lee; Xiang Yue; Seongyun Lee; Mingyeong Moon; Kiril Gashteovski; Carolin Lawrence; Julia Hockenmaier; Graham Neubig; Sean Welleck (CoRR, 2025)

M-Prometheus: A Suite of Open Multilingual LLM Judges. - José Pombal; Dongkeun Yoon; Patrick Fernandes; Ian Wu; Seungone Kim; Ricardo Rei; Graham Neubig; André F. T. Martins (CoRR, 2025)

The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think. - Seongyun Lee; Seungone Kim; Minju Seo; Yongrae Jo; Dongyoung Go; Hyeonbin Hwang; Jinho Park 005; Xiang Yue; Sean Welleck; Graham Neubig; Moontae Lee; Minjoon Seo (CoRR, 2025)

Reasoning Models Better Express Their Confidence. - Dongkeun Yoon; Seungone Kim; Sohee Yang; Sunkyoung Kim 002; Soyeon Kim; Yongil Kim; Eunbi Choi; Yireun Kim; Minjoon Seo (CoRR, 2025)

Web-Shepherd: Advancing PRMs for Reinforcing Web Agents. - Hyungjoo Chae; Sunghwan Kim; Junhee Cho; Seungone Kim; Seungjun Moon; Gyeom Hwangbo; Dongha Lim; Minjin Kim; Yeonjun Hwang; Minju Gwak; Dongwook Choi; Minseok Kang; et al. (CoRR, 2025)

FREESON: Retriever-Free Retrieval-Augmented Reasoning via Corpus-Traversing MCTS. - Chaeeun Kim; Seungone Kim (CoRR, 2025)

Let's Predict Sentence by Sentence. - Hyeonbin Hwang; Byeongguk Jeon; Seungone Kim; Jiyeon Kim; Hoyeon Chang; Sohee Yang; Seungpil Won; Dohaeng Lee; Youbin Ahn; Minjoon Seo (CoRR, 2025)

Measuring Sycophancy of Language Models in Multi-turn Dialogues. - Jiseung Hong; Grace Byun; Seungone Kim; Kai Shu (CoRR, 2025)

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability. - Genta Indra Winata; David Anugraha; Emmy Liu; Alham Fikri Aji; Shou-Yi Hung; Aditya Parashar; Patrick Amadeus Irawan; Ruochen Zhang; Zheng-Xin Yong; Jan Christian Blaise Cruz; Niklas Muennighoff; Seungone Kim; et al. (CoRR, 2025)

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning. - Maggie Huan; Yuetai Li; Tuney Zheng; Xiaoyu Xu; Seungone Kim; Minxin Du; Radha Poovendran; Graham Neubig; Xiang Yue (CoRR, 2025)