🧑‍🔬 Who cites Ayush Dattagupta

234 citations of their works from 195 papers of our library (of the 149,439 whose bibliographies we read) · 58 with a page here, the most cited first · ← Ayush Dattagupta

1. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
2. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingarXiv:2411.15124Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 423 citations
3. InternLM2 Technical ReportarXiv:2403.17297Zheng Cai, Maosong Cao, Haojiong Chen, et al.2024 · 301 citations
4. PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPUACM SIGOPS Symposium on Operating Systems Principles (SOSP)Yixin Song, Zeyu Mi, Haotong Xie, et al.2023 · 272 citations
5. 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 · 176 citations
6. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessACM Transactions on Intelligent Systems and TechnologyFali Wang, Zhiwei Zhang, Xianren Zhang, et al.2024 · 159 citations
7. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
8. Fanar: An Arabic-Centric Multimodal Generative AI PlatformarXiv:2501.13944Fanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
9. OpenThoughts: Data Recipes for Reasoning ModelsarXiv:2506.04178Etash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 122 citations
10. Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive AttacksarXiv:2404.02151Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion2024 · 118 citations
11. Skywork-Reward: Bag of Tricks for Reward Modeling in LLMsarXiv:2410.18451Chris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.2024 · 112 citations
12. Nemotron-4 340B Technical ReportarXiv:2406.11704Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 107 citations
13. Small Language Models are the Future of Agentic AIarXiv:2506.02153Peter Belcak, Greg Heinrich, Shizhe Diao, et al.2025 · 92 citations
14. OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction DataarXiv:2410.01560Shubham Toshniwal, Wei Du, Ivan Moshkov, et al.2024 · 85 citations
15. HelpSteer2: Open-source dataset for training top-performing reward modelsarXiv:2406.08673Zhilin Wang, Yi Dong, Olivier Delalleau, et al.2024 · 82 citations
16. Llama-Nemotron: Efficient Reasoning ModelsarXiv:2505.00949Akhiad Bercovich, Itay Levy, Izik Golan, et al.2025 · 76 citations
17. Benchmarking Benchmark Leakage in Large Language ModelsarXiv:2404.18824Ruijie Xu, Zengzhi Wang, Run-Ze Fan, et al.2024 · 73 citations
18. An Empirical Study of Mamba-based Language ModelsarXiv:2406.07887Roger Waleffe, Wonmin Byeon, Duncan Riach, et al.2024 · 67 citations
19. Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining DatasetAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Su, Kezhi Kong, Ying Lin, et al.2025 · 65 citations
20. SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online PolarizationInternational Workshop on Semantic Evaluation (SemEval)Usman Naseem, Robert Geislinger, Ada Ren, et al.2026 · 61 citations
21. Generalizing Verifiable Instruction FollowingConference on Neural Information Processing Systems (NeurIPS)Valentina Pyatkin, Saumya Malik, Victoria Graf, et al.2025 · 59 citations
22. ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Mingjie Liu, Shizhe Diao, Ximing Lu, et al.2025 · 58 citations
23. AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM GuardrailsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Shaona Ghosh, Prasoon Varshney, Makesh Narsimhan Sreedhar, et al.2025 · 53 citations
24. RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and StylearXiv:2410.16184Yantao Liu, Zijun Yao, Rui Min, et al.2024 · 53 citations
25. Kimi Linear: An Expressive, Efficient Attention ArchitecturearXiv:2510.26692Kimi Team, Yu Zhang, Zongyu Lin, et al.2025 · 51 citations
26. RM-R1: Reward Modeling as ReasoningarXiv:2505.02387Xiusi Chen, Gaotang Li, Ziqi Wang, et al.2025 · 49 citations
27. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
28. LLM Pruning and Distillation in Practice: The Minitron ApproacharXiv:2408.11796Sharath Turuvekere Sreenivas, Saurav Muralidharan, Raviraj Joshi, et al.2024 · 44 citations
29. NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning ModelarXiv:2508.14444NVIDIA: Aarti Basant, Abhijit Khairnar, Abhijit Paithankar, et al.2025 · 39 citations
30. Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer ModelsarXiv:2504.03624NVIDIA: Aaron Blakeman, Aarti Basant, Abhinav Khattar, et al.2025 · 38 citations
31. Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language ModelsarXiv:2407.07263Jupinder Parmar, Sanjev Satheesh, Mostofa Patwary, et al.2024 · 36 citations
32. Direct Judgement Preference OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)PeiFeng Wang, Austin Xu, Yilun Zhou, et al.2025 · 35 citations
33. Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic ReasoningarXiv:2512.20848NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant, et al.2025 · 27 citations
34. Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by TencentarXiv:2411.02265Xingwu Sun, Yanfeng Chen, Yiqing Huang, et al.2024 · 25 citations
35. Scaling Latent Reasoning via Looped Language ModelsarXiv:2510.25741Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.2025 · 22 citations
36. Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy DistillationarXiv:2603.19220Zhuolin Yang, Zihan Liu, Yang Chen, et al.2026 · 16 citations
37. Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase PretrainingarXiv:2412.15285Steven Feng, Shrimai Prabhumoye, Kezhi Kong, et al.2024 · 12 citations
38. When2Call: When (not) to Call ToolsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hayley Ross, Ameya Sunil Mahabaleshwarkar, Yoshi Suhara2025 · 11 citations
39. Nemotron-CrossThink: Scaling Self-Learning beyond Math ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Syeda Nahida Akter, Shrimai Prabhumoye, Matvei Novikov, et al.2026 · 9 citations
40. Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal UncertaintyFindings of the Association for Computational LinguisticsChao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 8 citations
41. LogicPro: Improving Complex Logical Reasoning via Program-Guided LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Jin Jiang, Yuchen Yan, Yang Liu, et al.2025 · 8 citations
42. A Sovereign, Open-Source Foundation Model for German and EnglisharXiv:2607.09424Soofi-Team: Benedikt Droste, David Fitzek, Ruben Harle, et al.2026 · 2 citations
43. Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMsShaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.2026 · 2 citations
44. MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context ModelingarXiv:2602.11761MiniCPM Team, Wenhao An, Yingfa Chen, et al.2026 · 2 citations
45. AMALIA: A Fully Open Large Language Model for European PortugueseInternational Conference on Computational Processing of PortugueseAfonso Simplício, Gonçalo Vinagre, Miguel Moura Ramos, et al.2026 · 1 citation
46. Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level TriggersFindings of the Association for Computational LinguisticsVan Yang, Shouren Wang, Debargha Ganguly, et al.2026 · 1 citation
47. 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
48. AfriqueLLM: How Data Mixing and Model Architecture Impact Continued Pre-training for African LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Yu, Tianyi Xu, Michael A. Hedderich, et al.2026
49. Child-directed speech facilitates production, not comprehension, in BabyLMsConference on Computational Natural Language Learning (CoNLL)Bastian Bunzeck, Sina Zarrieß2026
50. EfficientTool: A Cost-Effective Aligning Framework for Tool-Conditioned Agents in SME ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanqi Mu, Bingfeng Pi, Defei Xia, et al.2026
51. EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressionsAnnual Meeting of the Association for Computational Linguistics (ACL)Charlotte Noel, Nicholas Asher, Olivier Gouvert, et al.2026
52. Evaluating the Effect of Question Wording Variations on Answer Consistency in Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Junya Takayama, Masaya Ohagi, Tomoya Mizumoto, et al.2026
53. GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and GeneratorsLanguage Resources and Evaluation Conference (LREC)Manuel Schaaf, Kevin Bönisch, Alexander Mehler2026
54. SciImpact: A Multi-Dimensional, Multi-Field Benchmark for Scientific Impact PredictionFindings of the Association for Computational LinguisticsHangxiao Zhu, Yuyu Zhang, Ping Nie, et al.2026
55. SciPedia: Unlocking the Value of Scientific Data for Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yiwei Qin, Zhen Huang, Tiantian Mi, et al.2026
56. STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across DomainsLanguage Resources and Evaluation Conference (LREC)Daniel Steinigen, Lucie Flek, Sebastian Houben2026
57. Understanding In-Context Learning Beyond Transformers: An Investigation of State Space and Hybrid ArchitecturesFindings of the Association for Computational LinguisticsShenran Wang, Timothy Tin-Long Tse, Jian Zhu2026
58. XLSR-MamBo: Scaling the Hybrid Mamba-Attention Backbone for Audio Deepfake DetectionFindings of the Association for Computational LinguisticsKwok-Ho Ng, Tingting Song, Yongdong WU, et al.2026

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