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Who cites Takeshi Kojima

2,300 citations of their works from 2,299 papers of our library (of the 141,840 whose bibliographies we read) · 202 with a page here, the most cited first · page 2 of 3 · 101–200 · ← Takeshi Kojima

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  1. LooGLE: Can Long-Context Language Models Understand Long Contexts?Annual Meeting of the Association for Computational Linguistics (ACL)Jiaqi Li, Mengmeng Wang, Zilong Zheng, et al.2023 · 163 citations
  2. Reasoning with Language Model Prompting: A SurveyarXiv:2212.09597Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 161 citations
  3. ChatGPT as a Factual Inconsistency Evaluator for Text SummarizationarXiv:2303.15621Zheheng Luo, Qianqian Xie, Sophia Ananiadou2023 · 160 citations
  4. Orca 2: Teaching Small Language Models How to ReasonarXiv:2311.11045Arindam Mitra, Luciano Del Corro, Shweti Mahajan, et al.2023 · 160 citations
  5. GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via CipherarXiv:2308.06463Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2023 · 158 citations
  6. TheoremQA: A Theorem-driven Question Answering DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Wenhu Chen, Ming Yin, Max Ku, et al.2023 · 155 citations
  7. ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Justin Chen, Swarnadeep Saha, Mohit Bansal2024 · 154 citations
  8. Can GPT-3 Perform Statutory Reasoning?arXiv:2302.06100Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme2023 · 153 citations
  9. Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and MitigationarXiv:2305.15852Niels Mundler, Jingxuan He, Slobodan Jenko, et al.2023 · 150 citations
  10. Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wenhao Yu, Hongming Zhang, Xiaoman Pan, et al.2024 · 149 citations
  11. SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language ModelsarXiv:2307.10635Xiaoxuan Wang, Ziniu Hu, Pan Lu, et al.2023 · 149 citations
  12. Fact-Checking Complex Claims with Program-Guided ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Liangming Pan, Xiaobao Wu, Xinyuan Lu, et al.2023 · 146 citations
  13. Self-Evaluation Guided Beam Search for ReasoningConference on Neural Information Processing Systems (NeurIPS)Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.2023 · 145 citations
  14. Is GPT-3 a Good Data Annotator?arXiv:2212.10450Bosheng Ding, Chengwei Qin, Linlin Liu, et al.2022 · 145 citations
  15. ProofNet: Autoformalizing and Formally Proving Undergraduate-Level MathematicsarXiv:2302.12433Zhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, et al.2023 · 141 citations
  16. Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction StrategiesTransactions of the Association for Computational Linguistics (TACL)Liangming Pan, Michael Saxon, Wenda Xu, et al.2024 · 140 citations
  17. Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-StepAnnual Meeting of the Association for Computational Linguistics (ACL)Liunian Harold Li, Jack Hessel, Youngjae Yu, et al.2023 · 139 citations
  18. The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context LearningarXiv:2312.01552Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al.2023 · 139 citations
  19. Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-CollaborationarXiv:2307.05300Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, et al.2023 · 139 citations
  20. Self-Knowledge Guided Retrieval Augmentation for Large Language ModelsFindings of the Association for Computational LinguisticsYile Wang, Peng Li, Maosong Sun, et al.2023 · 135 citations
  21. 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 · 133 citations
  22. Prompting is not a substitute for probability measurements in large language modelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jennifer Hu, Roger Levy2023 · 133 citations
  23. A Survey on Recent Advances in LLM-Based Multi-turn Dialogue SystemsACM Computing SurveysZihao Yi, Jiarui Ouyang, Zhe Xu, et al.2024 · 129 citations
  24. Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled DataFindings of the Association for Computational LinguisticsKashun Shum, Shizhe Diao, Tong Zhang2023 · 128 citations
  25. Deductive Verification of Chain-of-Thought ReasoningConference on Neural Information Processing Systems (NeurIPS)Zhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 128 citations
  26. Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Libo Qin, Qiguang Chen, Fuxuan Wei, et al.2023 · 122 citations
  27. Unlearn What You Want to Forget: Efficient Unlearning for LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaao Chen, Diyi Yang2023 · 120 citations
  28. The Impact of Reasoning Step Length on Large Language ModelsFindings of the Association for Computational LinguisticsMingyu Jin, Qinkai Yu, Dong Shu, et al.2024 · 119 citations
  29. Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question AnsweringarXiv:2306.04136Jinheon Baek, Alham Fikri Aji, Amir Saffari2023 · 119 citations
  30. Large Language Models are Not Yet Human-Level Evaluators for Abstractive SummarizationFindings of the Association for Computational LinguisticsChenhui Shen, Liying Cheng, Xuan-Phi Nguyen, et al.2023 · 119 citations
  31. The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Seungone Kim, Se Joo, Doyoung Kim, et al.2023 · 116 citations
  32. Large Language Models Understand and Can be Enhanced by Emotional StimuliarXiv:2307.11760Cheng Li, Jindong Wang, Yixuan Zhang, et al.2023 · 114 citations
  33. Quiet-STaR: Language models can teach themselves to think before speaking2024 · 113 citations
  34. V-STaR: Training Verifiers for Self-Taught ReasonersarXiv:2402.06457Arian Hosseini, Xingdi Yuan, Nikolay Malkin, et al.2024 · 111 citations
  35. Benchmarking Machine Translation with Cultural AwarenessarXiv:2305.14328Binwei Yao, Ming Jiang, Tara Bobinac, et al.2023 · 109 citations
  36. Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-VerificationarXiv:2308.07921Aojun Zhou, Ke Wang, Zimu Lu, et al.2023 · 109 citations
  37. GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem SolversAnnual Meeting of the Association for Computational Linguistics (ACL)Qintong Li, Leyang Cui, Xueliang Zhao, et al.2024 · 107 citations
  38. Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption ContestAnnual Meeting of the Association for Computational Linguistics (ACL)Jack Hessel, Ana Marasovic, Jena D. Hwang, et al.2023 · 107 citations
  39. Leveraging GPT-4 for Automatic Translation Post-EditingFindings of the Association for Computational LinguisticsVikas Raunak, Amr Sharaf, Yiren Wang, et al.2023 · 107 citations
  40. TrueTeacher: Learning Factual Consistency Evaluation with Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zorik Gekhman, Jonathan Herzig, Roee Aharoni, et al.2023 · 106 citations
  41. TokenSkip: Controllable Chain-of-Thought Compression in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Heming Xia, Chak Tou Leong, Wenjie Wang, et al.2025 · 105 citations
  42. Complementary Explanations for Effective In-Context LearningFindings of the Association for Computational LinguisticsXi Ye, Srinivasan Iyer, Asli Celikyilmaz, et al.2023 · 105 citations
  43. MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical ReasoningarXiv:2310.03731Ke Wang, Houxing Ren, Aojun Zhou, et al.2023 · 98 citations
  44. R-Judge: Benchmarking Safety Risk Awareness for LLM AgentsFindings of the Association for Computational LinguisticsTongxin Yuan, Zhiwei He, Lingzhong Dong, et al.2024 · 97 citations
  45. Answering Questions by Meta-Reasoning over Multiple Chains of ThoughtConference on Empirical Methods in Natural Language Processing (EMNLP)Ori Yoran, Tomer Wolfson, Ben Bogin, et al.2023 · 97 citations
  46. FireAct: Toward Language Agent Fine-tuningarXiv:2310.05915Baian Chen, Chang Shu, Ehsan Shareghi, et al.2023 · 96 citations
  47. WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the WildarXiv:2406.04770Bill Yuchen Lin, Yuntian Deng, Khyathi Chandu, et al.2024 · 95 citations
  48. Boosting Language Models Reasoning with Chain-of-Knowledge PromptingAnnual Meeting of the Association for Computational Linguistics (ACL)Jianing Wang, Qiushi Sun, Xiang Li, et al.2024 · 94 citations
  49. Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via DebateFindings of the Association for Computational LinguisticsKai Xiong, Xiao Ding, Yixin Cao, et al.2023 · 94 citations
  50. Exploring Large Language Models for Communication Games: An Empirical Study on WerewolfarXiv:2309.04658Yuzhuang Xu, Shuo Wang, Peng Li, et al.2023 · 94 citations
  51. LLMs Are Few-Shot In-Context Low-Resource Language LearnersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Samuel Cahyawijaya, Holy Lovenia, Pascale Fung2024 · 92 citations
  52. TextGrad: Automatic "Differentiation" via TextarXiv:2406.07496Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.2024 · 88 citations
  53. The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMsConference on Neural Information Processing Systems (NeurIPS)Laura Ruis, Akbir Khan, Stella Biderman, et al.2022 · 86 citations
  54. Multilingual Large Language Models Are Not (Yet) Code-SwitchersConference on Empirical Methods in Natural Language Processing (EMNLP)Ruochen Zhang, Samuel Cahyawijaya, Jan Christian Blaise Cruz, et al.2023 · 85 citations
  55. Solving Math Word Problems via Cooperative Reasoning induced Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Zhu, Junjie Wang, Lin Zhang, et al.2023 · 85 citations
  56. Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksarXiv:2310.10844Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, et al.2023 · 83 citations
  57. DOC: Improving Long Story Coherence With Detailed Outline ControlAnnual Meeting of the Association for Computational Linguistics (ACL)Kevin Yang, Dan Klein, Nanyun Peng, et al.2023 · 82 citations
  58. Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD ExamplesConference on Neural Information Processing Systems (NeurIPS)Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, et al.2023 · 82 citations
  59. ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMsarXiv:2402.11753Fengqing Jiang, Zhangchen Xu, Luyao Niu, et al.2024 · 80 citations
  60. You Only Look at Screens: Multimodal Chain-of-Action AgentsFindings of the Association for Computational LinguisticsZhuosheng Zhang, Aston Zhang2024 · 80 citations
  61. Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought ReasoningFindings of the Association for Computational LinguisticsDebjit Paul, Robert West, Antoine Bosselut, et al.2024 · 77 citations
  62. Benchmarking Large Language Models on Answering and Explaining Challenging Medical QuestionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hanjie Chen, Zhouxiang Fang, Yash Singla, et al.2025 · 75 citations
  63. Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model EvaluatorsarXiv:2403.16950Yinhong Liu, Han Zhou, Zhijiang Guo, et al.2024 · 75 citations
  64. Self-Contrast: Better Reflection Through Inconsistent Solving PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Yongliang Shen, Linjuan Wu, et al.2024 · 75 citations
  65. Self-Reflection in LLM Agents: Effects on Problem-Solving PerformancearXiv:2405.06682 · 2nd International Conference on Foundation and Large Language Models (FLLM 2024), pp. 476-483Matthew Renze, Erhan Guven2024 · 75 citations
  66. INCLUDE: Evaluating Multilingual Language Understanding with Regional KnowledgearXiv:2411.19799Angelika Romanou, Negar Foroutan, Anna Sotnikova, et al.2024 · 73 citations
  67. KMMLU: Measuring Massive Multitask Language Understanding in KoreanConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Guijin Son, Hanwool Lee, Sungdong Kim, et al.2025 · 72 citations
  68. Towards Safer Large Language Models through Machine UnlearningFindings of the Association for Computational LinguisticsZheyuan Liu, Guangyao Dou, Zhaoxuan Tan, et al.2024 · 71 citations
  69. Interpretability at Scale: Identifying Causal Mechanisms in AlpacaConference on Neural Information Processing Systems (NeurIPS)Zhengxuan Wu, Atticus Geiger, Thomas Icard, et al.2023 · 70 citations
  70. ReCEval: Evaluating Reasoning Chains via Correctness and InformativenessConference on Empirical Methods in Natural Language Processing (EMNLP)Archiki Prasad, Swarnadeep Saha, Xiang Zhou, et al.2023 · 68 citations
  71. A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, et al.2023 · 65 citations
  72. Tokenization counts: the impact of tokenization on arithmetic in frontier LLMsarXiv:2402.14903Aaditya K. Singh, DJ Strouse2024 · 53 citations
  73. Towards Effective Disambiguation for Machine Translation with Large Language ModelsConference on Machine Translation (WMT)Vivek Iyer, Pinzhen Chen, Alexandra Birch2023 · 38 citations
  74. Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal SamplingarXiv:2408.16737Hritik Bansal, Arian Hosseini, Rishabh Agarwal, et al.2024 · 26 citations
  75. MedArabiQ: Benchmarking Large Language Models on Arabic Medical TasksarXiv:2505.03427Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf, et al.2025 · 22 citations
  76. Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge DistillationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Abhijnan Nath, Shadi Manafi Avari, Avyakta Chelle, et al.2024 · 16 citations
  77. Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Shengguang Wu, Shusheng Yang, Zhenglun Chen, et al.2024 · 16 citations
  78. Dialogue Discourse Parsing as Generation: A Sequence-to-Sequence LLM-based ApproachAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Chuyuan Li, Yuwei Yin, Giuseppe Carenini2024 · 11 citations
  79. 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
  80. Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious QuestionsProceedings of the AAAI/ACM Conference on AI Ethics and SocietyFarah Atif, Nursultan Askarbekuly, Kareem Darwish, et al.2025 · 8 citations
  81. Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for SwedishWorkshop on Resources and Representations for Under-Resourced Languages and DomainsOskar Holmström, Jenny Kunz, Marco Kuhlmann2023 · 8 citations
  82. This One or That One? A Study on Accessibility via Demonstratives with Multimodal Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Yu Wang, Emmanuele Chersoni, Chu-Ren Huang2026 · 7 citations
  83. Do LLMs Understand Dialogues? A Case Study on Dialogue ActsAyesha Qamar, Jonathan Tong, Ruihong Huang2025 · 6 citations
  84. PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question AnsweringWookje Han, Jinsol Park, Kyungjae Lee2023 · 4 citations
  85. Beyond MCQ: An Open-Ended Arabic Cultural QA Benchmark with Dialect VariantsLanguage Resources and Evaluation Conference (LREC)Hunzalah Hassan Bhatti, Firoj Alam2026 · 3 citations
  86. Let's Simplify Step by Step: Guiding LLM Towards Multilingual Unsupervised Proficiency-Controlled Sentence SimplificationFindings of the Association for Computational LinguisticsJingshen Zhang, Xin Ying Qiu, Lifang Lu, et al.2026 · 3 citations
  87. KCIF: Knowledge-Conditioned Instruction FollowingLanguage Resources and Evaluation Conference (LREC)Rudra Murthy, Praveen Venkateswaran, Prince Kumar, et al.2026 · 2 citations
  88. BIS Reasoning 1.0: The First Large-Scale Japanese Benchmark for Belief-Inconsistent Syllogistic ReasoningLanguage Resources and Evaluation Conference (LREC)Ha Thanh Nguyen, Hideyuki Tachibana, Chaoran Liu, et al.2026 · 1 citation
  89. Adaptive Originality Filtering: Rejection Based Prompting and RiddleScore for Culturally Grounded Multilingual Riddle GenerationarXiv:2508.18709Duy Le, Kent Ziti, Evan Girard-Sun, et al.2025 · 1 citation
  90. Towards Safer Hebrew Communication: A Dataset for Offensive Language DetoxificationNatalia Vanetik, Lior Liberov, Marina Litvak, et al.2025 · 1 citation
  91. When Alignment Hurts: Decoupling Representational Spaces in Multilingual ModelsarXiv:2508.12803Ahmed Elshabrawy, Hour Kaing, Haiyue Song, et al.2025 · 1 citation
  92. Annotating Indian Regional Biases using Large Language Models: Evaluation and AnalysisJoint Conference on Lexical and Computational Semantics (*SEM)Debasmita Panda, Akash Anil, Neelesh Kumar Shukla2026
  93. ArabicNumBench: Evaluating Arabic Number Reading in Large Language ModelsarXiv:2602.18776Anas Alhumud, Abdulaziz Alhammadi, Muhammad Badruddin Khan2026
  94. Beyond Simple Term Injection: Reasoning Models for Legal Translation in a Non-Dominant Language VarietyAnnual Conference of the European Association for Machine Translation (EAMT)Paolo Di Natale, Elena Chiocchetti, Marlies Alber, et al.2026
  95. Diff4TST: Masked Diffusion Language Model for Text Style TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Xinchen Ma, Gaole He, Yunshi Lan, et al.2026
  96. I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue SystemAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Zi Haur Pang, Yahui Fu, Koji Inoue, et al.2026
  97. Questionnaire Meets LLM: A Benchmark and Empirical Study of Structural Skills for Understanding Questions and ResponsesLanguage Resources and Evaluation Conference (LREC)Duc-Hai Nguyen, Vijayakumar Nanjappan, Barry O'Sullivan, et al.2026
  98. Reasoning About Gender: How Source Text Strategies Impact Italian–to-German Machine Translation Beyond the BinaryWorkshop on Gender-Inclusive Translation TechnologiesPaolo Di Natale, Laura Schlutter, Elena Chiocchetti, et al.2026
  99. Recent Advances in Text-attributed Graph Learning via Large Models (大模型驱动的文本属性图学习研究进展)Acta Automatica Sinica (自动化学报)Yanping Zheng (郑艳萍), Jiarui Ji (季嘉蕊), Yuwei Hu (胡雨韦), et al.2026
  100. Time-for-Accuracy: Formalizing Chain-of-Thought as an Expansion of Logical DepthFindings of the Association for Computational LinguisticsYue Wang, Zhi Zhang, Wang Xi, et al.2026

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