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Who cites Melanie Subbiah

11,345 citations of their works from 11,345 papers of our library (of the 149,439 whose bibliographies we read) · 1,982 with a page here, the most cited first · page 10 of 20 · 901–1000 · ← Melanie Subbiah

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  1. World Model on Million-Length Video And Language With Blockwise RingAttentionarXiv:2402.08268Hao Liu, Wilson Yan, Matei Zaharia, et al.2024 · 99 citations
  2. MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical ReasoningarXiv:2310.03731Ke Wang, Houxing Ren, Aojun Zhou, et al.2023 · 99 citations
  3. Transformer Quality in Linear TimearXiv:2202.10447Weizhe Hua, Zihang Dai, Hanxiao Liu, et al.2022 · 99 citations
  4. Chain of Draft: Thinking Faster by Writing LessarXiv:2502.18600Silei Xu, Wenhao Xie, Lingxiao Zhao, et al.2025 · 98 citations
  5. Provable Robust Watermarking for AI-Generated TextarXiv:2306.17439Xuandong Zhao, Prabhanjan Ananth, Lei Li, et al.2023 · 98 citations
  6. Safety Alignment Should Be Made More Than Just a Few Tokens DeeparXiv:2406.05946Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, et al.2024 · 97 citations
  7. A Survey of Confidence Estimation and Calibration in Large Language ModelsarXiv:2311.08298Jiahui Geng, Fengyu Cai, Yuxia Wang, et al.2023 · 97 citations
  8. Accelerating Sparse Deep Neural NetworksarXiv 2021 (NVIDIA)Asit Mishra, Jorge Albericio Latorre, Jeff Pool, et al.2021 · 97 citations
  9. TextGrad: Automatic "Differentiation" via TextarXiv:2406.07496Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.2024 · 96 citations
  10. Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank AdaptationarXiv:2305.15011Haonan Li, Fajri Koto, Minghao Wu, et al.2023 · 96 citations
  11. Identifying the Risks of LM Agents with an LM-Emulated SandboxarXiv:2309.15817Yangjun Ruan, Honghua Dong, Andrew Wang, et al.2023 · 96 citations
  12. INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language ModelsarXiv:2306.04757Yew Ken Chia, Pengfei Hong, Lidong Bing, et al.2023 · 96 citations
  13. Teaching Algorithmic Reasoning via In-context LearningarXiv:2211.09066Hattie Zhou, Azade Nova, Hugo Larochelle, et al.2022 · 96 citations
  14. Investigating the Limitations of Transformers with Simple Arithmetic TasksarXiv:2102.13019Rodrigo Nogueira, Zhiying Jiang, Jimmy Lin2021 · 96 citations
  15. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
  16. MinerU: An Open-Source Solution for Precise Document Content ExtractionarXiv:2409.18839Bin Wang, Chao Xu, Xiaomeng Zhao, et al.2024 · 95 citations
  17. Building Cooperative Embodied Agents Modularly with Large Language ModelsarXiv:2307.02485Hongxin Zhang, Weihua Du, Jiaming Shan, et al.2023 · 95 citations
  18. Dictionary-based Phrase-level Prompting of Large Language Models for Machine TranslationarXiv:2302.07856Marjan Ghazvininejad, Hila Gonen, Luke Zettlemoyer2023 · 95 citations
  19. InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large ModelarXiv:2401.16420Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 94 citations
  20. Moral Foundations of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Marwa Abdulhai, Gregory Serapio-García, Clement Crepy, et al.2024 · 94 citations
  21. CodeGen2: Lessons for Training LLMs on Programming and Natural LanguagesarXiv:2305.02309Erik Nijkamp, Hiroaki Hayashi, Caiming Xiong, et al.2023 · 94 citations
  22. Training Socially Aligned Language Models on Simulated Social InteractionsarXiv:2305.16960Ruibo Liu, Ruixin Yang, Chenyan Jia, et al.2023 · 94 citations
  23. CommonsenseQA 2.0: Exposing the Limits of AI through GamificationarXiv:2201.05320Alon Talmor, Ori Yoran, Ronan Le Bras, et al.2022 · 94 citations
  24. How well do Large Language Models perform in Arithmetic tasks?arXiv:2304.02015Zheng Yuan, Hongyi Yuan, Chuanqi Tan, et al.2023 · 93 citations
  25. ChatHaruhi: Reviving Anime Character in Reality via Large Language ModelarXiv:2308.09597Cheng Li, Ziang Leng, Chenxi Yan, et al.2023 · 92 citations
  26. On the Tool Manipulation Capability of Open-source Large Language ModelsarXiv:2305.16504Qiantong Xu, Fenglu Hong, Bo Li, et al.2023 · 92 citations
  27. Proving Test Set Contamination in Black Box Language ModelsarXiv:2310.17623Yonatan Oren, Nicole Meister, Niladri Chatterji, et al.2023 · 92 citations
  28. SeaLLMs — Large Language Models for Southeast AsiaarXiv:2312.00738Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, et al.2023 · 92 citations
  29. Accelerating Distributed MoE Training and Inference with LinaarXiv:2210.17223Jiamin Li, Yimin Jiang, Yibo Zhu, et al.2022 · 92 citations
  30. Language Agents as Optimizable GraphsarXiv:2402.16823Mingchen Zhuge, Wenyi Wang, Louis Kirsch, et al.2024 · 91 citations
  31. LLM Inference Unveiled: Survey and Roofline Model InsightsarXiv 2024Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.2024 · 91 citations
  32. Language Modeling Is CompressionarXiv:2309.10668Gregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, et al.2023 · 91 citations
  33. Scaling Laws and Interpretability of Learning from Repeated DataarXiv:2205.10487Danny Hernandez, Tom Brown, Tom Conerly, et al.2022 · 91 citations
  34. InternLM-Math: Open Math Large Language Models Toward Verifiable ReasoningarXiv:2402.06332Huaiyuan Ying, Shuo Zhang, Linyang Li, et al.2024 · 90 citations
  35. RQ-RAG: Learning to Refine Queries for Retrieval Augmented GenerationarXiv:2404.00610Chi-Min Chan, Chunpu Xu, Ruibin Yuan, et al.2024 · 90 citations
  36. Vidur: A Large-Scale Simulation Framework For LLM InferencearXiv:2405.05465Amey Agrawal, Nitin Kedia, Jayashree Mohan, et al.2024 · 90 citations
  37. AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and OptimisationarXiv:2312.13010Dong Huang, Jie M.Zhang, Michael Luck, et al.2023 · 90 citations
  38. Alignment for HonestyConference on Neural Information Processing Systems (NeurIPS)Yuqing Yang, Ethan Chern, Xipeng Qiu, et al.2023 · 90 citations
  39. Extracting Cultural Commonsense Knowledge at ScaleACM Web Conference (WWW)Tuan-Phong Nguyen, Simon Razniewski, Aparna Varde, et al.2022 · 90 citations
  40. Automatically Auditing Large Language Models via Discrete OptimizationarXiv:2303.04381Erik Jones, Anca Dragan, Aditi Raghunathan, et al.2023 · 89 citations
  41. In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space SteeringarXiv:2311.06668Sheng Liu, Haotian Ye, Lei Xing, et al.2023 · 89 citations
  42. Massive Activations in Large Language ModelsarXiv:2402.17762Mingjie Sun, Xinlei Chen, J. Zico Kolter, et al.2024 · 88 citations
  43. Landmark Attention: Random-Access Infinite Context Length for TransformersarXiv:2305.16300Amirkeivan Mohtashami, Martin Jaggi2023 · 88 citations
  44. Large Language Models as General Pattern MachinesarXiv:2307.04721Suvir Mirchandani, Fei Xia, Pete Florence, et al.2023 · 88 citations
  45. MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code GenerationarXiv:2208.08227Federico Cassano, John Gouwar, Daniel Nguyen, et al.2022 · 88 citations
  46. The AI teacher test: Measuring the pedagogical ability of Blender and GPT-3 in educational dialoguesTack2022 · 88 citations
  47. End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question AnsweringarXiv:2106.05346Devendra Singh Sachan, Siva Reddy, William Hamilton, et al.2021 · 88 citations
  48. Do Membership Inference Attacks Work on Large Language Models?arXiv:2402.07841Michael Duan, Anshuman Suri, Niloofar Mireshghallah, et al.2024 · 87 citations
  49. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
  50. Liger Kernel: Efficient Triton Kernels for LLM TrainingarXiv:2410.10989Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli, et al.2024 · 87 citations
  51. Rethinking Interpretability in the Era of Large Language ModelsarXiv:2402.01761Chandan Singh, Jeevana Priya Inala, Michel Galley, et al.2024 · 87 citations
  52. SORRY-Bench: Systematically Evaluating Large Language Model Safety RefusalarXiv:2406.14598Tinghao Xie, Xiangyu Qi, Yi Zeng, et al.2024 · 87 citations
  53. A Survey of Large Language Models in Medicine: Progress, Application, and ChallengearXiv:2311.05112Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.2023 · 87 citations
  54. InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and CompositionarXiv:2309.15112Pan Zhang, Xiaoyi Dong, Bin Wang, et al.2023 · 87 citations
  55. REST: Retrieval-Based Speculative DecodingarXiv:2311.08252Zhenyu He; Zexuan Zhong; Tianle Cai; Jason D. Lee;, Di He2023 · 87 citations
  56. O1 Replication Journey: A Strategic Progress Report — Part 1arXiv:2410.18982Yiwei Qin, Xuefeng Li, Haoyang Zou, et al.2024 · 86 citations
  57. Mathematics, word problems, common sense, and artificial intelligencearXiv:2301.09723Ernest Davis2023 · 86 citations
  58. PromptNER: Prompting For Named Entity RecognitionarXiv:2305.15444Dhananjay Ashok, Zachary C. Lipton2023 · 86 citations
  59. Multi-lingual Evaluation of Code Generation ModelsarXiv:2210.14868Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, et al.2022 · 86 citations
  60. Benchmark Data Contamination of Large Language Models: A SurveyarXiv:2406.04244Cheng Xu, Shuhao Guan, Derek Greene, et al.2024 · 85 citations

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