Elamur Research⌕
☰
home / authors / Sharan Narang / cited by / page 7

Who cites Sharan Narang

13,067 citations of their works from 11,493 papers of our library (of the 140,884 whose bibliographies we read) · 895 with a page here, the most cited first · page 7 of 9 · 601–700 · ← Sharan Narang

1 … 6 7 8 9

  1. GLUCOSE: GeneraLized and COntextualized Story ExplanationsNasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, et al.2020 · 144 citations
  2. Executable Code Actions Elicit Better LLM AgentsXingyao Wang, Yangyi Chen, Lifan Yuan, et al.2024 · 143 citations
  3. Generative Verifiers: Reward Modeling as Next-Token PredictionLunjun Zhang, Arian Hosseini, Hritik Bansal, et al.2024 · 143 citations
  4. AfriSenti: A Twitter Sentiment Analysis Benchmark for African LanguagesShamsuddeen Hassan Muhammad, Idris Abdulmumin, Abinew Ali Ayele, et al.2023 · 143 citations
  5. MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
  6. ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsShibo Hao, Tianyang Liu, Zhen Wang, et al.2023 · 142 citations
  7. TALM: Tool Augmented Language ModelsAaron Parisi, Yao Zhao, Noah Fiedel2022 · 142 citations
  8. Rethinking embedding coupling in pre-trained language modelsHyung Won Chung, Thibault Févry, Henry Tsai, et al.2020 · 142 citations
  9. JudgeLM: Fine-tuned Large Language Models are Scalable JudgesLianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 141 citations
  10. How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language modelMichael Hanna, Ollie Liu, Alexandre Variengien2023 · 140 citations
  11. A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence GenerationNeeraj Varshney; Wenlin Yao; Hongming Zhang; Jianshu Chen;, Dong Yu2023 · 139 citations
  12. Diverse Demonstrations Improve In-context Compositional GeneralizationItay Levy, Ben Bogin, Jonathan Berant2023 · 139 citations
  13. Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-StepLiunian Harold Li, Jack Hessel, Youngjae Yu, et al.2023 · 139 citations
  14. The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context LearningBill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al.2023 · 139 citations
  15. LongRoPE: Extending LLM Context Window Beyond 2 Million TokensYiran Ding, Li Lyna Zhang, Chengruidong Zhang, et al.2024 · 138 citations
  16. DeepInception: Hypnotize Large Language Model to Be JailbreakerXuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 138 citations
  17. Exploring Length Generalization in Large Language ModelsCem Anil, Yuhuai Wu, Anders Andreassen, et al.2022 · 138 citations
  18. Investigating Data Contamination in Modern Benchmarks for Large Language ModelsChunyuan Deng, Yilun Zhao, Xiangru Tang, et al.2024 · 137 citations
  19. Efficient Training of Language Models to Fill in the MiddleMohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022 · 137 citations
  20. A fine-grained comparison of pragmatic language understanding in humans and language modelsJennifer Hu, Sammy Floyd, Olessia Jouravlev, et al.2023 · 136 citations
  21. Attributed Question Answering: Evaluation and Modeling for Attributed Large Language ModelsBernd Bohnet, Vinh Q. Tran, Pat Verga, et al.2022 · 136 citations
  22. Byte Pair Encoding is Suboptimal for Language Model PretrainingKaj Bostrom, Greg Durrett2020 · 136 citations
  23. RAFT: Adapting Language Model to Domain Specific RAGTianjun Zhang, Shishir G. Patil, Naman Jain, et al.2024 · 135 citations
  24. Token-Budget-Aware LLM ReasoningTingxu Han, Zhenting Wang, Chunrong Fang, et al.2024 · 135 citations
  25. SLiC-HF: Sequence Likelihood Calibration with Human FeedbackYao Zhao, Rishabh Joshi, Tianqi Liu, et al.2023 · 135 citations
  26. Many-Shot In-Context LearningRishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 134 citations
  27. Simple and Effective Masked Diffusion Language ModelsSubham Sekhar Sahoo, Marianne Arriola, Yair Schiff, et al.2024 · 134 citations
  28. Beyond Human Data: Scaling Self-Training for Problem-Solving with Language ModelsAvi Singh, John D. Co-Reyes, Rishabh Agarwal, et al.2023 · 134 citations
  29. Few-Shot Self-Rationalization with Natural Language PromptsAna Marasovic, Iz Beltagy, Doug Downey, et al.2022 · 134 citations
  30. InFoBench: Evaluating Instruction Following Ability in Large Language ModelsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 133 citations
  31. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningZayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.2024 · 133 citations
  32. Long-context LLMs Struggle with Long In-context LearningTianle Li, Ge Zhang, Quy Duc Do, et al.2024 · 132 citations
  33. ReFT: Reasoning with Reinforced Fine-TuningLuong Trung, Xinbo Zhang, Zhanming Jie, et al.2024 · 131 citations
  34. Understanding the Effects of RLHF on LLM Generalisation and DiversityRobert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.2023 · 131 citations
  35. FLUTE: Figurative Language Understanding through Textual ExplanationsTuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.2022 · 131 citations
  36. LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context MultitasksYushi Bai, Shangqing Tu, Jiajie Zhang, et al.2024 · 130 citations
  37. FreshLLMs: Refreshing Large Language Models with Search Engine AugmentationTu Vu, Mohit Iyyer, Xuezhi Wang, et al.2023 · 130 citations
  38. MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning ProblemsJakub Macina, Nico Daheim, Sankalan Chowdhury, et al.2023 · 130 citations
  39. Learning Compact Metrics for MTAmy Pu, Hyung Won Chung, Ankur Parikh, et al.2021 · 130 citations
  40. Faithful Logical Reasoning via Symbolic Chain-of-ThoughtJundong Xu, Hao Fei, Liangming Pan, et al.2024 · 129 citations
  41. Analyzing Transformers in Embedding SpaceGuy Dar, Mor Geva, Ankit Gupta, et al.2023 · 129 citations
  42. Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackYao Fu, Hao Peng, Tushar Khot, et al.2023 · 129 citations
  43. Deductive Verification of Chain-of-Thought ReasoningZhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 128 citations
  44. Sequence Parallelism: Long Sequence Training from System PerspectiveShenggui Li, Fuzhao Xue, Chaitanya Baranwal, et al.2023 · 128 citations
  45. ZeroSCROLLS: A Zero-Shot Benchmark for Long Text UnderstandingUri Shaham, Maor Ivgi, Avia Efrat, et al.2023 · 128 citations
  46. Fanar: An Arabic-Centric Multimodal Generative AI PlatformFanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
  47. Time Travel in LLMs: Tracing Data Contamination in Large Language ModelsShahriar Golchin, Mihai Surdeanu2023 · 127 citations
  48. Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error DetectorsLiyan Tang, Tanya Goyal, Alex Fabbri, et al.2023 · 126 citations
  49. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryChaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 125 citations
  50. OpenWebMath: An Open Dataset of High-Quality Mathematical Web TextKeiran Paster, Marco Dos Santos, Zhangir Azerbayev, et al.2023 · 124 citations
  51. Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow InstructionsFederico Bianchi, Mirac Suzgun, Giuseppe Attanasio, et al.2023 · 124 citations
  52. Nomic Embed: Training a Reproducible Long Context Text EmbedderZach Nussbaum, John X. Morris, Brandon Duderstadt, et al.2024 · 123 citations
  53. Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
  54. Machine Learning for Ancient Languages: A SurveyThea Sommerschield, Yannis Assael, John Pavlopoulos, et al.2023 · 123 citations
  55. Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across LanguagesLibo Qin, Qiguang Chen, Fuxuan Wei, et al.2023 · 122 citations
  56. LEVER: Learning to Verify Language-to-Code Generation with ExecutionAnsong Ni, Srini Iyer, Dragomir Radev, et al.2023 · 122 citations
  57. LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal DomainJoel Niklaus, Veton Matoshi, Pooja Rani, et al.2023 · 122 citations
  58. Generative Judge for Evaluating AlignmentJunlong Li, Shichao Sun, Weizhe Yuan, et al.2023 · 121 citations
  59. Transformer-Patcher: One Mistake worth One NeuronZeyu Huang, Yikang Shen, Xiaofeng Zhang, et al.2023 · 120 citations
  60. L1: Controlling How Long A Reasoning Model Thinks With Reinforcement LearningPranjal Aggarwal, Sean Welleck2025 · 119 citations
  61. AlphaMath Almost Zero: Process Supervision without ProcessGuoxin Chen, Minpeng Liao, Chengxi Li, et al.2024 · 119 citations
  62. The Impact of Reasoning Step Length on Large Language ModelsMingyu Jin, Qinkai Yu, Dong Shu, et al.2024 · 119 citations
  63. The case for 4-bit precision: k-bit Inference Scaling LawsTim Dettmers, Luke Zettlemoyer2022 · 119 citations
  64. Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question AnsweringJinheon Baek, Alham Fikri Aji, Amir Saffari2023 · 118 citations
  65. MetricX-23: The Google Submission to the WMT 2023 Metrics Shared TaskJuraj Juraska, Mara Finkelstein, Daniel Deutsch, et al.2023 · 118 citations
  66. Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the AmericasManuel Mager, Arturo Oncevay, Abteen Ebrahimi, et al.2021 · 118 citations
  67. I-BERT: Integer-only BERT QuantizationSehoon Kim, Amir Gholami, Zhewei Yao, et al.2021 · 118 citations
  68. Chameleon: Mixed-Modal Early-Fusion Foundation ModelsChameleon Team2024 · 117 citations
  69. MUSS: Multilingual Unsupervised Sentence Simplification by Mining ParaphrasesLouis Martin, Angela Fan, Éric de la Clergerie, et al.2022 · 117 citations
  70. Scaling Laws for Autoregressive Generative ModelingTom Henighan, Jared Kaplan, Mor Katz, et al.2020 · 115 citations
  71. Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language ModelsYangzhen Wu, Zhiqing Sun, Shanda Li, et al.2024 · 114 citations
  72. GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionOscar Sainz, Iker Garcia-Ferrero, Rodrigo Agerri, et al.2023 · 114 citations
  73. RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective AugmentationFangyuan Xu, Weijia Shi, Eunsol Choi2023 · 114 citations
  74. ALLaM: Large Language Models for Arabic and EnglishM Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
  75. Quiet-STaR: Language models can teach themselves to think before speaking2024 · 113 citations
  76. DistiLLM: Towards Streamlined Distillation for Large Language ModelsJongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.2024 · 111 citations
  77. V-STaR: Training Verifiers for Self-Taught ReasonersArian Hosseini, Xingdi Yuan, Nikolay Malkin, et al.2024 · 111 citations
  78. Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text CorpusIsaac Caswell, Theresa Breiner, Daan van Esch, et al.2020 · 111 citations
  79. Olmo 3Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
  80. Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-VerificationAojun Zhou, Ke Wang, Zimu Lu, et al.2023 · 109 citations
  81. Data Engineering for Scaling Language Models to 128K ContextYao Fu, Rameswar Panda, Xinyao Niu, et al.2024 · 107 citations
  82. GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem SolversQintong Li, Leyang Cui, Xueliang Zhao, et al.2024 · 107 citations
  83. TokenSkip: Controllable Chain-of-Thought Compression in LLMsHeming Xia, Chak Tou Leong, Wenjie Wang, et al.2025 · 105 citations
  84. LENS: A Learnable Evaluation Metric for Text SimplificationMounica Maddela, Yao Dou, David Heineman, et al.2023 · 103 citations
  85. Nemotron-4 340B Technical ReportNvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 102 citations
  86. Scaling Laws for TransferDanny Hernandez, Jared Kaplan, Tom Henighan, et al.2021 · 102 citations
  87. Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex WordsValentin, Hofmann2021 · 101 citations
  88. Qwen2.5-1M Technical ReportAn Yang, Bowen Yu, Chengyuan Li, et al.2025 · 100 citations
  89. Inverse Scaling: When Bigger Isn't BetterIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 99 citations
  90. MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical ReasoningKe Wang, Houxing Ren, Aojun Zhou, et al.2023 · 98 citations
  91. LongAlign: A Recipe for Long Context Alignment of Large Language ModelsYushi Bai, Xin Lv, Jiajie Zhang, et al.2024 · 97 citations
  92. SemDeDup: Data-efficient learning at web-scale through semantic deduplicationAmro Abbas, Kushal Tirumala, Dániel Simig, et al.2023 · 94 citations
  93. InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large ModelXiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 92 citations
  94. Skywork: A More Open Bilingual Foundation ModelTianwen Wei, Liang Zhao, Lichang Zhang, et al.2023 · 91 citations
  95. AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language ModelsHarish Tayyar Madabushi, Edward Gow-Smith, Carolina Scarton, et al.2021 · 86 citations
  96. NL-Augmenter: A Framework for Task-Sensitive Natural Language AugmentationKaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.2023 · 84 citations
  97. D4: Improving LLM Pretraining via Document De-Duplication and DiversificationKushal Tirumala, Daniel Simig, Armen Aghajanyan, et al.2023 · 79 citations
  98. Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?Yi Tay, Mostafa Dehghani, Samira Abnar, et al.2023 · 79 citations
  99. Coreference Resolution through a seq2seq Transition-Based SystemBernd Bohnet, Chris Alberti, Michael Collins2023 · 77 citations
  100. SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented ParserYue Zhang, Bo Zhang, Zhenghua Li, et al.2022 · 76 citations

1 … 6 7 8 9

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/sharan-narang/cited-by/page/7/