🧑‍🔬 Who cites Manas Joglekar

1,450 citations of their works from 1,398 papers of our library (of the 141,840 whose bibliographies we read) · 69 with a page here, the most cited first · ← Manas Joglekar

1. DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language ModelsarXiv:2402.03300Zhihong Shao, Peiyi Wang, Qihao Zhu, et al.2024 · 2,013 citations
2. OpenAI o1 System CardarXiv:2412.16720OpenAI, Aaron Jaech, Adam Kalai, et al.2024 · 1,065 citations
3. gpt-oss-120b & gpt-oss-20b Model CardarXiv:2508.10925OpenAI: Sandhini Agarwal, Lama Ahmad, Jason Ai, et al.2025 · 555 citations
4. Instruction Tuning for Large Language Models: A SurveyACM Computing SurveysShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 517 citations
5. Kimi k1.5: Scaling Reinforcement Learning with LLMsarXiv:2501.12599Kimi Team, Angang Du, Bofei Gao, et al.2025 · 413 citations
6. The AI Scientist: Towards Fully Automated Open-Ended Scientific DiscoveryarXiv:2408.06292Chris Lu, Cong Lu, Robert Tjarko Lange, et al.2024 · 362 citations
7. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningarXiv:2503.09516Bowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 303 citations
8. Accelerating scientific discovery with Co-ScientistNatureJuraj Gottweis, Wei-Hung Weng, Alexander Daryin, et al.2025 · 212 citations
9. Search-o1: Agentic Search-Enhanced Large Reasoning ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaoxi Li, Guanting Dong, Jiajie Jin, et al.2025 · 205 citations
10. LIMO: Less is More for ReasoningarXiv:2502.03387Yixin Ye, Zhen Huang, Yang Xiao, et al.2025 · 204 citations
11. Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?arXiv:2504.13837 · NeurIPS 2025 Oral; ICML 2025 AI4MATH workshop best paperYang Yue, Zhiqi Chen, Rui Lu, et al.2025 · 196 citations
12. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 174 citations
13. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 159 citations
14. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation ModelsarXiv:2508.06471Aohan Zeng, Xin Lv, Qinkai Zheng, et al.2025 · 157 citations
15. SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-trainingarXiv:2501.17161Tianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.2025 · 151 citations
16. SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildarXiv:2503.18892Weihao Zeng, Yuzhen Huang, Qian Liu, et al.2025 · 148 citations
17. Process Reinforcement through Implicit RewardsarXiv:2502.01456Ganqu Cui, Lifan Yuan, Zefan Wang, et al.2025 · 147 citations
18. rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep ThinkingarXiv:2501.04519Xinyu Guan, Li Lyna Zhang, Yifei Liu, et al.2025 · 146 citations
19. R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement LearningarXiv:2503.05592Huatong Song, Jinhao Jiang, Yingqian Min, et al.2025 · 137 citations
20. Mem0: Building Production-Ready AI Agents with Scalable Long-Term MemoryarXiv:2504.19413Prateek Chhikara, Dev Khant, Saket Aryan, et al.2025 · 122 citations
21. The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree SearcharXiv:2504.08066Yutaro Yamada, Robert Tjarko Lange, Cong Lu, et al.2025 · 121 citations
22. DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal DecompositionarXiv:2504.21801Z. Z. Ren, Zhihong Shao, Junxiao Song, et al.2025 · 120 citations
23. L1: Controlling How Long A Reasoning Model Thinks With Reinforcement LearningarXiv:2503.04697Pranjal Aggarwal, Sean Welleck2025 · 119 citations
24. Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRsarXiv:2503.01307Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.2025 · 110 citations
25. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
26. 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
27. Nemotron-4 340B Technical ReportarXiv:2406.11704Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 102 citations
28. UI-TARS: Pioneering Automated GUI Interaction with Native AgentsarXiv:2501.12326Yujia Qin, Yining Ye, Junjie Fang, et al.2025 · 101 citations
29. Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Keming Lu, Bowen Yu, Chang Zhou, et al.2024 · 86 citations
30. GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement LearningarXiv:2507.01006GLM-V Team, Wenyi Hong, Wenmeng Yu, et al.2025 · 79 citations
31. MoBA: Mixture of Block Attention for Long-Context LLMsConference on Neural Information Processing Systems (NeurIPS)Enzhe Lu, Zhejun Jiang, Jingyuan Liu, et al.2025 · 75 citations
32. Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.2026 · 67 citations
33. CoT-Valve: Length-Compressible Chain-of-Thought TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyin Ma, Guangnian Wan, Runpeng Yu, et al.2025 · 64 citations
34. Inference-Time Scaling for Generalist Reward ModelingarXiv:2504.02495Zijun Liu, Peiyi Wang, Runxin Xu, et al.2025 · 64 citations
35. Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 64 citations
36. ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement LearningarXiv:2504.01296Bairu Hou, Yang Zhang, Jiabao Ji, et al.2025 · 64 citations
37. LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMsarXiv:2408.07055Yushi Bai, Jiajie Zhang, Xin Lv, et al.2024 · 63 citations
38. Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-TuningarXiv:2402.00530Ming Li, Yong Zhang, Shwai He, et al.2024 · 60 citations
39. Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal SamplingarXiv:2408.16737Hritik Bansal, Arian Hosseini, Rishabh Agarwal, et al.2024 · 26 citations
40. Distillation Scaling LawsarXiv:2502.08606Dan Busbridge, Amitis Shidani, Floris Weers, et al.2025 · 23 citations
41. New Trends for Modern Machine Translation with Large Reasoning ModelsLanguage Resources and Evaluation Conference (LREC)Sinuo Liu, Chenyang Lyu, Minghao Wu, et al.2026 · 16 citations
42. 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
43. 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
44. MedAraBench: Large-Scale Arabic Medical Question Answering Dataset and BenchmarkarXiv:2602.01714Mouath Abu-Daoud, Leen Kharouf, Omar El Hajj, et al.2026 · 5 citations
45. ARB: A Comprehensive Arabic Multimodal Reasoning BenchmarkLanguage Resources and Evaluation Conference (LREC)Sara Ghaboura, Shubham Patle, Ketan More, et al.2026 · 3 citations
46. HalluScore: Large Language Model Hallucination Question Answering BenchmarkarXiv:2605.17007Aisha Alansari, Hamzah Luqman2026 · 3 citations
47. WASIL: In-the-Wild Arabic Spoken Interactions with LLMsarXiv:2605.16364Zien Sheikh Ali, Hamdy Mubarak, Soon-Gyo Jung, et al.2026 · 2 citations
48. Arabic Sentence Segmentation Across Genres and Punctuation ConditionsMohammed Elkholy, Khalid N. Elmadani, Nizar Habash, et al.2026 · 1 citation
49. 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
50. 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
51. Synthetic Function Demonstrations Improve Generation in Low-Resource Programming LanguagesLanguage Resources and Evaluation Conference (LREC)Nick McKenna, Xinnuo Xu, Jack Williams, et al.2026 · 1 citation
52. 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
53. Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language ModelsMohamed Adel, Bashar Alhafni, Nizar Habash2026
54. Arabic Safety Alignment as Selective Refusal: An Empirical Study of SFT, DPO, and Guard CalibrationarXiv:2608.29378Mohamad Zbib, Ammar Mohanna2026
55. ArabiGEE: A Hierarchical Taxonomy for Arabic Grammatical Error ExplanationarXiv:2606.10765Khaled Elhady, Omar Kallas, Nizar Habash, et al.2026
56. 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
57. Detecting Latin in Historical Books with Large Language Models: A Multimodal BenchmarkConference of the European Chapter of the Association for Computational Linguistics (EACL)Yu Wu, Ke Shu, Jonas Fischer, et al.2026
58. 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
59. 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
60. IndigiEval: Evaluating LLMs in North American Indigenous LanguagesWorkshop on NLP for Indigenous Languages of the Americas (AmericasNLP)Julia Mainzinger, Jacqueline Brixey2026
61. mSCoRe: A Multilingual and Scalable Benchmark for Skill-based Commonsense ReasoningLanguage Resources and Evaluation Conference (LREC)Nghia Trung Ngo, Franck Dernoncourt, Thien Huu Nguyen2026
62. Multimodal LLMs Do Not Compose Skills Optimally across ModalitiesLanguage Resources and Evaluation Conference (LREC)Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune2026
63. NegNLI-BR: A Brazilian Portuguese Benchmark for Negation in Natural Language InferenceLanguage Resources and Evaluation Conference (LREC)Matheus Westhelle, Viviane Moreira2026
64. ProBel: Propaganda Detection with Techniques, Spans, and ExplanationsarXiv:2608.22388Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Elisa Sartori, et al.2026
65. 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
66. SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language ModelsarXiv:2603.04410Omar Abdelnasser, Fatemah Alharbi, Khaled Khasawneh, et al.2026
67. Seeing the Other Side: Diagnostic Tasks for Viewpoint Reasoning in Vision–Language ModelsLanguage Resources and Evaluation Conference (LREC)Makoto Takenaka, Hitomi Yanaka2026
68. When Similar Means Different: Evaluating LLMs on Arabic–Hebrew CognatesJunhong Liang, Noor Abo Mokh, Bashar Alhafni2026
69. 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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