🧑‍🔬 Who cites Seongyun Lee

107 citations of their works from 106 papers of our library (of the 149,439 whose bibliographies we read) · 44 with a page here, the most cited first · ← Seongyun Lee

1. Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language ModelsarXiv:2405.01535Seungone Kim, Juyoung Suk, Shayne Longpre, et al.2024 · 234 citations
2. LLM-based NLG Evaluation: Current Status and ChallengesComputational LinguisticsMingqi Gao, Xinyu Hu, Xunjian Yin, et al.2025 · 153 citations
3. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningarXiv:2409.12183Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.2024 · 138 citations
4. JudgeBench: A Benchmark for Evaluating LLM-based JudgesarXiv:2410.12784Sijun Tan, Siyuan Zhuang, Kyle Montgomery, et al.2024 · 101 citations
5. OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMsarXiv:2411.14199Akari Asai, Jacqueline He, Rulin Shao, et al.2024 · 62 citations
6. Small Models Struggle to Learn from Strong ReasonersFindings of the Association for Computational LinguisticsYuetai Li, Xiang Yue, Zhangchen Xu, et al.2025 · 61 citations
7. AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?Conference on Empirical Methods in Natural Language Processing (EMNLP)Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, et al.2024 · 46 citations
8. Pangea: A Fully Open Multilingual Multimodal LLM for 39 LanguagesarXiv:2410.16153Xiang Yue, Yueqi Song, Akari Asai, et al.2024 · 46 citations
9. A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic SystemsarXiv:2504.09037Zixuan Ke, Fangkai Jiao, Yifei Ming, et al.2025 · 39 citations
10. Direct Judgement Preference OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)PeiFeng Wang, Austin Xu, Yilun Zhou, et al.2025 · 35 citations
11. Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the AboveAnnual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Rachel Rudinger, Jordan Boyd-Graber2025 · 28 citations
12. SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research PapersarXiv:2504.00255Yanzheng Xiang, Hanqi Yan, Shuyin Ouyang, et al.2025 · 23 citations
13. MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning ResearchConference on Neural Information Processing Systems (NeurIPS)Hui Chen, Miao Xiong, Yujie Lu, et al.2025 · 21 citations
14. Measuring Chain of Thought Faithfulness by Unlearning Reasoning StepsConference on Empirical Methods in Natural Language Processing (EMNLP)Martin Tutek, Fateme Hashemi Chaleshtori, Ana Marasovic, et al.2025 · 15 citations
15. Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Hengyuan Zhang, Shiping Yang, Xiao Liang, et al.2026 · 13 citations
16. When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific ResearcharXiv:2505.11855Guijin Son, Jiwoo Hong, Honglu Fan, et al.2025 · 13 citations
17. From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning TasksarXiv:2409.04168Andreas Stephan, Dawei Zhu, Matthias Aßenmacher, et al.2024 · 13 citations
18. AI Scientists Fail Without Strong Implementation CapabilityarXiv:2506.01372Minjun Zhu, Qiujie Xie, Yixuan Weng, et al.2025 · 12 citations
19. AutoReproduce: Automatic AI Experiment Reproduction with Paper LineageAnnual Meeting of the Association for Computational Linguistics (ACL)Xuanle Zhao, Zilin Sang, Yuxuan Li, et al.2025 · 12 citations
20. TRAIL: Trace Reasoning and Agentic Issue LocalizationarXiv:2505.08638Darshan Deshpande, Varun Gangal, Hersh Mehta, et al.2025 · 12 citations
21. Cross-Lingual Auto Evaluation for Assessing Multilingual LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Dilip Venkatesh, et al.2025 · 11 citations
22. An Empirical Study of LLM-as-a-Judge: How Design Choices Impact Evaluation ReliabilityWorkshop on Generation, Evaluation and Metrics (GEM)Yusuke Yamauchi, Taro Yano, Masafumi Oyamada2026 · 10 citations
23. Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended TasksarXiv:2602.05125William F. Shen, Xinchi Qiu, Chenxi Whitehouse, et al.2026 · 9 citations
24. AI for Auto-Research: Roadmap & User GuidearXiv:2605.18661Lingdong Kong, Xian Sun, Wei Chow, et al.2026 · 5 citations
25. mR3: Multilingual Rubric-Agnostic Reward Reasoning ModelsarXiv:2510.01146David Anugraha, Shou-Yi Hung, Zilu Tang, et al.2025 · 5 citations
26. The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT ImprovementsConference on Neural Information Processing Systems (NeurIPS)Bingchen Zhao, Despoina Magka, Minqi Jiang, et al.2025 · 4 citations
27. J4R: Learning to Judge with Equivalent Initial State Group Relative Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Austin Xu, Yilun Zhou, Xuan-Phi Nguyen, et al.2026 · 3 citations
28. Korean Canonical Legal Benchmark: Toward Knowledge-Independent Evaluation of LLMs' Legal Reasoning CapabilitiesConference of the European Chapter of the Association for Computational Linguistics (EACL)Hongseok Oh, Wonseok Hwang, Kyoung-Woon On2026 · 3 citations
29. Graders Should Cheat: Privileged Information Enables Expert-Level Automated EvaluationsConference on Empirical Methods in Natural Language Processing (EMNLP)Jin Peng Zhou, Séb Arnold, Nan Ding, et al.2025 · 3 citations
30. Training AI Scientists to Replicate ResearcharXiv:2608.13331Damon Falck, Samer Sabri, Anja Surina, et al.2026 · 2 citations
31. Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanbin Yin, Kun Zhou, Zhen Wang, et al.2026 · 1 citation
32. DRAGON: Domain-specific Robust Automatic Data Generation for RAG OptimizationFindings of the Association for Computational LinguisticsHaiyang Shen, Hang Yan, Zhongshi Xing, et al.2026 · 1 citation
33. InferenceDynamics: Adaptive LLM Routing through Structured Capability and Knowledge ProfilingAnnual Meeting of the Association for Computational Linguistics (ACL)Haochen Shi, Tianshi Zheng, Weiqi Wang, et al.2026 · 1 citation
34. RECAP: REwriting Conversations for Intent Understanding in Agentic PlanningFindings of the Association for Computational LinguisticsKushan Mitra, Dan Zhang, Hannah Kim, et al.2026 · 1 citation
35. SCAN: Structured Capability Assessment and Navigation for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zongqi Wang, Tianle Gu, Chen Gong, et al.2026 · 1 citation
36. Synthetic Doctor-Patient Dialogue Generation for Robust Medical ASR: A Scalable Pipeline for Vocabulary Expansion and Privacy PreservationConference of the European Chapter of the Association for Computational Linguistics (EACL)Kefei Liu, Meizhu Liu2026 · 1 citation
37. Bi-Text Mining across German Dialects: On the Role of Synthetic Training Data for Dialect AdaptationWorkshop on Building and Using Comparable Corpora (BUCC)Jing Wang, Barbara Plank, Robert Litschko2026
38. Computational models of pragmatic reasoning with flexible generation of meaning and expression alternativesarXiv:2607.18443Polina Tsvilodub, Fausto Carcassi, Michael Franke2026
39. ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document ImagesConference of the European Chapter of the Association for Computational Linguistics (EACL)Mathieu Sibue, Andrés Muñoz Garza, Samuel Mensah, et al.2026
40. MMSciCode: Real-world Evaluation of Multilingual Multi-Discipline Scientific Research CodingAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Xia, Zheyuan Yang, Arman Cohan, et al.2026
41. MMTutorBench: The First Multimodal Benchmark for AI Math TutoringAnnual Meeting of the Association for Computational Linguistics (ACL)Tengchao Yang, Sichen Guo, Mengzhao Jia, et al.2026
42. TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine ActionFindings of the Association for Computational LinguisticsChenyue Zhou, Gürkan Solmaz, Flavio Cirillo, et al.2026
43. What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yujie Luo, Zhuoyun Yu, Xuehai Wang, et al.2026
44. Classifying German Language Proficiency Levels Using Large Language ModelsarXiv:2512.06483Elias-Leander Ahlers; Witold Brunsmann;, Malte Schilling2025

62 more citing papers of our library have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/seongyun-lee/cited-by/