🧑‍🔬 Who cites Ekin Akyürek

514 citations of their works from 511 papers of our library (of the 141,840 whose bibliographies we read) · 57 with a page here, the most cited first · ← Ekin Akyürek

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement LearningNatureDeepSeek-AI, Daya Guo, Dejian Yang, et al.2025 · 4,593 citations
A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
1. ReAct: Synergizing Reasoning and Acting in Language ModelsarXiv:2210.03629Shunyu Yao, Jeffrey Zhao, Dian Yu, et al.2022 · 2,497 citations
   The Rise and Potential of Large Language Model Based Agents: A SurveyScience China Information SciencesZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,264 citations
2. A Survey on In-context LearningarXiv:2301.00234Qingxiu Dong, Lei Li, Damai Dai, et al.2023 · 959 citations
3. Do As I Can, Not As I Say: Grounding Language in Robotic AffordancesarXiv:2204.01691Michael Ahn, Anthony Brohan, Noah Brown, et al.2022 · 876 citations
   Can Large Language Models Transform Computational Social Science?Computational LinguisticsCaleb Ziems, William Held, Omar Shaikh, et al.2023 · 777 citations
4. ProgPrompt: Generating Situated Robot Task Plans using Large Language ModelsarXiv:2209.11302Ishika Singh, Valts Blukis, Arsalan Mousavian, et al.2022 · 713 citations
   CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyConference on Neural Information Processing Systems (NeurIPS)Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al.2023 · 692 citations
5. Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied AgentsarXiv:2201.07207Wenlong Huang, Pieter Abbeel, Deepak Pathak, et al.2022 · 422 citations
6. AgentBench: Evaluating LLMs as AgentsarXiv:2308.03688Xiao Liu, Hao Yu, Hanchen Zhang, et al.2023 · 405 citations
   Tool Learning with Foundation ModelsACM Computing SurveysYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 378 citations
7. Augmented Language Models: a SurveyarXiv:2302.07842Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 366 citations
   MM-LLMs: Recent Advances in MultiModal Large Language ModelsFindings of the Association for Computational LinguisticsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 318 citations
   Large Language Models are Better Reasoners with Self-VerificationFindings of the Association for Computational LinguisticsYixuan Weng, Minjun Zhu, Fei Xia, et al.2023 · 302 citations
   Otter: A Multi-Modal Model with In-Context Instruction TuningIEEE Transactions on Pattern Analysis and Machine IntelligenceBo Li, Yuanhan Zhang, Liangyu Chen, et al.2023 · 280 citations
8. Larger language models do in-context learning differentlyarXiv:2303.03846Jerry Wei, Jason Wei, Yi Tay, et al.2023 · 279 citations
   Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What MattersAnnual Meeting of the Association for Computational Linguistics (ACL)Boshi Wang, Sewon Min, Xiang Deng, et al.2023 · 269 citations
   Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-OptimizersFindings of the Association for Computational LinguisticsDamai Dai, Yutao Sun, Li Dong, et al.2023 · 253 citations
9. Transformers learn in-context by gradient descentarXiv:2212.07677Johannes von Oswald, Eyvind Niklasson, Ettore Randazzo, et al.2022 · 236 citations
10. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
    On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Omar Shaikh, Hongxin Zhang, William Held, et al.2023 · 180 citations
11. Reasoning with Language Model Prompting: A SurveyarXiv:2212.09597Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 161 citations
12. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 159 citations
    When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMsTransactions of the Association for Computational Linguistics (TACL)Ryo Kamoi, Yusen Zhang, Nan Zhang, et al.2024 · 159 citations
    Label Words are Anchors: An Information Flow Perspective for Understanding In-Context LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Lean Wang, Lei Li, Damai Dai, et al.2023 · 153 citations
13. Training Language Models to Self-Correct via Reinforcement LearningarXiv:2409.12917Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, et al.2024 · 151 citations
    In-Context Learning Creates Task VectorsFindings of the Association for Computational LinguisticsRoee Hendel, Mor Geva, Amir Globerson2023 · 142 citations
    ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsConference on Neural Information Processing Systems (NeurIPS)Shibo Hao, Tianyang Liu, Zhen Wang, et al.2023 · 142 citations
    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
14. Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackarXiv:2305.10142Yao Fu, Hao Peng, Tushar Khot, et al.2023 · 130 citations
15. Large Language Model Alignment: A SurveyarXiv:2309.15025Tianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
16. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
    What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task LearningFindings of the Association for Computational LinguisticsJane Pan, Tianyu Gao, Howard Chen, et al.2023 · 100 citations
    Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language GenerationTransactions of the Association for Computational Linguistics (TACL)Patrick Fernandes, Aman Madaan, Emmy Liu, et al.2023 · 84 citations
    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
    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
17. MAWARITH: A Dataset and Benchmark for Legal Inheritance Reasoning with LLMsarXiv:2603.07539Abdessalam Bouchekif; Shahd Gaben; Samer Rashwani; Somaya Eltanbouly; Mutaz Al-Khatib; Heba Sbahi; Mohammed Ghaly;, Emad Mohamed2026 · 9 citations
18. OASIS: A Multilingual and Multimodal Dataset for Culturally Grounded Spoken Visual QAarXiv:2510.06371Firoj Alam, Ali Ezzat Shahroor, Md. Arid Hasan, et al.2025 · 6 citations
19. MedAraBench: Large-Scale Arabic Medical Question Answering Dataset and BenchmarkarXiv:2602.01714Mouath Abu-Daoud, Leen Kharouf, Omar El Hajj, et al.2026 · 5 citations
20. HalluScore: Large Language Model Hallucination Question Answering BenchmarkarXiv:2605.17007Aisha Alansari, Hamzah Luqman2026 · 3 citations
21. WASIL: In-the-Wild Arabic Spoken Interactions with LLMsarXiv:2605.16364Zien Sheikh Ali, Hamdy Mubarak, Soon-Gyo Jung, et al.2026 · 2 citations
22. Arabic Sentence Segmentation Across Genres and Punctuation ConditionsMohammed Elkholy, Khalid N. Elmadani, Nizar Habash, et al.2026 · 1 citation
    Nearest-Neighbor Retrieval for Indigenous Image CaptioningWorkshop on NLP for Indigenous Languages of the Americas (AmericasNLP)Justin Vasselli, Arturo Martínez Peguero, Shintaro Ozaki, et al.2026 · 1 citation
    Sense and Sensitivity: “Reasoning” Models are More Robust, but can Diverge from Human Consensus in a Legal Interpretation TaskConference on Computational Natural Language Learning (CoNLL)Dawson Petersen, Abhishek Purushothama, Nathan Schneider2026 · 1 citation
    Team QUESPA System Submission for the IWSLT 2026 Dialectal and Low-resource Speech Translation TaskInternational Conference on Spoken Language Translation (IWSLT)John E. Ortega, Rodolfo Joel Zevallos, Fabrício Carraro, et al.2026 · 1 citation
    Construction Grammar Evidence for How LLMs Use Context-Directed Extrapolation to Solve TasksInternational Workshop on Construction Grammars and NLPHarish Tayyar Madabushi, Claire Bonial2025 · 1 citation
23. Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language ModelsMohamed Adel, Bashar Alhafni, Nizar Habash2026
24. ArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error ExplanationarXiv:2606.10765Khaled Elhady, Omar Kallas, Nizar Habash, et al.2026
    Evaluation of Paralinguistic-Aware Spoken Dialogue Systems using Next-Utterance ClassificationAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Kouki Miyazawa, Yoshinao Sato2026
    From Propositional to Perceptual Asymmetry: Extending FPO to Asymmetric Partial Information DialogueAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Yifan Zhu, Kyeongmin Rim, James Pustejovsky2026
    IndigiEval: Evaluating LLMs in North American Indigenous LanguagesWorkshop on NLP for Indigenous Languages of the Americas (AmericasNLP)Julia Mainzinger, Jacqueline Brixey2026
25. ProBel: Propaganda Detection with Techniques, Spans, and ExplanationsarXiv:2608.22388Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Elisa Sartori, et al.2026
    Proficiency-Controlled Text Simplification in European Portuguese: A Preliminary Study using Prompting ApproachesJoint Workshop on Readability and Text Simplification (READIxTSAR) @ LRECEugénio Ribeiro, David Antunes, Nuno Mamede, et al.2026
26. SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language ModelsarXiv:2603.04410Omar Abdelnasser, Fatemah Alharbi, Khaled Khasawneh, et al.2026
    Seeing the Other Side: Diagnostic Tasks for Viewpoint Reasoning in Vision–Language ModelsLanguage Resources and Evaluation Conference (LREC)Makoto Takenaka, Hitomi Yanaka2026
27. When Similar Means Different: Evaluating LLMs on Arabic–Hebrew CognatesJunhong Liang, Noor Abo Mokh, Bashar Alhafni2026

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