🧑‍🔬 Who cites Aastha Jhunjhunwala

142 citations of their works from 132 papers of our library (of the 149,439 whose bibliographies we read) · 55 with a page here, the most cited first · ← Aastha Jhunjhunwala

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. OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction DataarXiv:2410.01560Shubham Toshniwal, Wei Du, Ivan Moshkov, et al.2024 · 85 citations
14. HelpSteer2: Open-source dataset for training top-performing reward modelsarXiv:2406.08673Zhilin Wang, Yi Dong, Olivier Delalleau, et al.2024 · 82 citations
15. Llama-Nemotron: Efficient Reasoning ModelsarXiv:2505.00949Akhiad Bercovich, Itay Levy, Izik Golan, et al.2025 · 76 citations
16. Benchmarking Benchmark Leakage in Large Language ModelsarXiv:2404.18824Ruijie Xu, Zengzhi Wang, Run-Ze Fan, et al.2024 · 73 citations
17. An Empirical Study of Mamba-based Language ModelsarXiv:2406.07887Roger Waleffe, Wonmin Byeon, Duncan Riach, et al.2024 · 67 citations
18. 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
19. 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
20. Generalizing Verifiable Instruction FollowingConference on Neural Information Processing Systems (NeurIPS)Valentina Pyatkin, Saumya Malik, Victoria Graf, et al.2025 · 59 citations
21. 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
22. HelpSteer2-Preference: Complementing Ratings with PreferencesarXiv:2410.01257Zhilin Wang, Alexander Bukharin, Olivier Delalleau, et al.2024 · 57 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. Zamba: A Compact 7B SSM Hybrid ModelarXiv:2405.16712Paolo Glorioso, Quentin Anthony, Yury Tokpanov, et al.2024 · 50 citations
26. RM-R1: Reward Modeling as ReasoningarXiv:2505.02387Xiusi Chen, Gaotang Li, Ziqi Wang, et al.2025 · 49 citations
27. RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human expertsarXiv:2411.15114Hjalmar Wijk, Tao Lin, Joel Becker, et al.2024 · 46 citations
28. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
29. LLM Pruning and Distillation in Practice: The Minitron ApproacharXiv:2408.11796Sharath Turuvekere Sreenivas, Saurav Muralidharan, Raviraj Joshi, et al.2024 · 44 citations
30. 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
31. 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
32. AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward ModelingFindings of the Association for Computational LinguisticsZihan Liu, Yang Chen, Mohammad Shoeybi, et al.2025 · 37 citations
33. Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language ModelsarXiv:2407.07263Jupinder Parmar, Sanjev Satheesh, Mostofa Patwary, et al.2024 · 36 citations
34. Direct Judgement Preference OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)PeiFeng Wang, Austin Xu, Yilun Zhou, et al.2025 · 35 citations
35. ACECODER: Acing Coder RL via Automated Test-Case SynthesisAnnual Meeting of the Association for Computational Linguistics (ACL)Huaye Zeng, Dongfu Jiang, Haozhe Wang, et al.2025 · 32 citations
36. 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
37. Paper2Code: Automating Code Generation from Scientific Papers in Machine LearningarXiv:2504.17192Minju Seo, Jinheon Baek, Seongyun Lee, et al.2025 · 24 citations
38. From AI for Science to Agentic Science: A Survey on Autonomous Scientific DiscoveryarXiv:2508.14111Jiaqi Wei, Yuejin Yang, Xiang Zhang, et al.2025 · 19 citations
39. Rewriting Pre-Training Data Boosts LLM Performance in Math and CodearXiv:2505.02881Kazuki Fujii, Yukito Tajima, Sakae Mizuki, et al.2025 · 15 citations
40. Training a Scientific Reasoning Model for ChemistryarXiv:2506.17238Siddharth M. Narayanan, James D. Braza, Ryan-Rhys Griffiths, et al.2025 · 15 citations
41. Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase PretrainingarXiv:2412.15285Steven Feng, Shrimai Prabhumoye, Kezhi Kong, et al.2024 · 12 citations
42. 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
43. MIND: Math Informed syNthetic Dialogues for Pretraining LLMsarXiv:2410.12881Syeda Nahida Akter, Shrimai Prabhumoye, John Kamalu, et al.2024 · 11 citations
44. Puzzle: Distillation-Based NAS for Inference-Optimized LLMsarXiv:2411.19146Akhiad Bercovich, Tomer Ronen, Talor Abramovich, et al.2024 · 10 citations
45. 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
46. 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
47. 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
48. Front-Loading Reasoning: The Synergy between Pretraining and Post-Training DataarXiv:2510.03264Syeda Nahida Akter, Shrimai Prabhumoye, Eric Nyberg, et al.2025 · 6 citations
49. 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
50. 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
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. 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
55. WildSci: Advancing Scientific Reasoning from In-the-Wild LiteratureFindings of the Association for Computational LinguisticsTengxiao Liu, Deepak Nathani, Zekun Li, et al.2026

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