🧑‍🔬 Who cites Sungju Kim

183 citations of their works from 182 papers of our library (of the 149,439 whose bibliographies we read) · 23 with a page here, the most cited first · ← Sungju Kim

1. A Survey on Large Language Models for Code GenerationarXiv:2406.00515Juyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 367 citations
2. Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and InferencearXiv:2412.13663Benjamin Warner, Antoine Chaffin, Benjamin Clavié, et al.2024 · 358 citations
3. BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and LanguagesConference on Neural Information Processing Systems (NeurIPS)Junho Myung, Nayeon Lee, Yi Zhou, et al.2024 · 152 citations
4. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
5. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
6. LLM-as-a-Judge & Reward Model: What They Can and Cannot DoarXiv:2409.11239Guijin Son, Hyunwoo Ko, Hoyoung Lee, et al.2024 · 27 citations
7. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
8. MultiPragEval: Multilingual Pragmatic Evaluation of Large Language ModelsProceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLPDojun Park, Jiwoo Lee, Seohyun Park, et al.2024 · 17 citations
9. CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error ScenariosConference on Empirical Methods in Natural Language Processing (EMNLP)Shiting Huang, Zhen Fang, Zehui Chen, et al.2025 · 12 citations
10. Pragmatic Competence Evaluation of Large Language Models for the Korean LanguagePacific Asia Conference on Language, Information and Computation (PACLIC)Dojun Park, Jiwoo Lee, Hyeyun Jeong, et al.2024 · 11 citations
11. Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language ModelsarXiv:2506.05850Cheonbok Park; Jeonghoon Kim; Joosung Lee; Sanghwan Bae; Jaegul Choo;, Kang Min Yoo2025 · 10 citations
12. Problem Solving Through Human–AI Preference-based CooperationComputational LinguisticsSubhabrata Dutta, Timo Kaufmann, Goran Glavaš, et al.2025 · 9 citations
13. LogitSpec: Accelerating Retrieval-based Speculative Decoding via Next Next Token SpeculationFindings of the Association for Computational LinguisticsTianyu Liu, Qitan Lv, Hao Li, et al.2026 · 6 citations
14. A Study of LLMs' Preferences for Libraries and Programming LanguagesFindings of the Association for Computational LinguisticsLukas Twist, Mark Harman, Don Syme, et al.2026 · 5 citations
15. RoCoFT: Efficient Finetuning of Large Language Models with Row-Column UpdatesAnnual Meeting of the Association for Computational Linguistics (ACL)Md Kowsher, Tara Esmaeilbeig, Chun-Nam Yu, et al.2025 · 5 citations
16. Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMsarXiv:2506.19290Liang Zeng, Yongcong Li, Yuzhen Xiao, et al.2025 · 3 citations
17. CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Sizhe Wang, Zhengren Wang, Dongsheng Ma, et al.2026 · 1 citation
18. ExecVerify: White-Box RL with Verifiable Stepwise Rewards for Code Execution ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Lingxiao Tang, He Ye, Zhaoyang Chu, et al.2026 · 1 citation
19. Incentivizing Strong Reasoning from Weak SupervisionConference of the European Chapter of the Association for Computational Linguistics (EACL)Yige Yuan, Teng Xiao, Shuchang Tao, et al.2026 · 1 citation
20. AlphaQT-Bench: Diagnosing the Gap between Financial Code Generation and Quantitative Reasoning in LLMsFindings of the Association for Computational LinguisticsSichun Luo, Yi Huang, Shichang Meng, et al.2026
21. Don't Tell the Answer, Truly Guide the Reasoning During RL RolloutsFindings of the Association for Computational LinguisticsXinyi Wang, Jinyi Han, Zishang Jiang, et al.2026
22. GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and GeneratorsLanguage Resources and Evaluation Conference (LREC)Manuel Schaaf, Kevin Bönisch, Alexander Mehler2026
23. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Shenbin Qian, Yves Scherrer2026

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