Elamur Research⌕
☰
home / papers / Scaling Instruction-Finetuned Language Models / cited by / page 2

Who cites «Scaling Instruction-Finetuned Language Models»

2,176 papers of our library cite it (of the 140,884 whose bibliographies we read) · 190 with a page here, the most cited first · page 2 of 2 · 101–190 · ← the paper

1 2

  1. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsHaitao Li, Qian Dong, Junjie Chen, et al.2024 · 188 citations
  2. GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language ModelsArchiki Prasad, Peter Hase, Xiang Zhou, et al.2023 · 180 citations
  3. On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot ReasoningOmar Shaikh, Hongxin Zhang, William Held, et al.2023 · 180 citations
  4. The False Promise of Imitating Proprietary LLMsArnav Gudibande, Eric Wallace, Charlie Snell, et al.2023 · 178 citations
  5. ToolQA: A Dataset for LLM Question Answering with External ToolsYuchen Zhuang, Yue Yu, Kuan Wang, et al.2023 · 177 citations
  6. Learning to Compress Prompts with Gist TokensJesse Mu, Xiang Lisa Li, Noah Goodman2023 · 170 citations
  7. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityCunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 169 citations
  8. Aligning Large Multimodal Models with Factually Augmented RLHFZhiqing Sun, Sheng Shen, Shengcao Cao, et al.2023 · 168 citations
  9. Generative Representational Instruction TuningNiklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 165 citations
  10. Binding Language Models in Symbolic LanguagesZhoujun Cheng, Tianbao Xie, Peng Shi, et al.2022 · 165 citations
  11. Do All Languages Cost the Same? Tokenization in the Era of Commercial Language ModelsOrevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.2023 · 164 citations
  12. Catastrophic Jailbreak of Open-source LLMs via Exploiting GenerationYangsibo Huang, Samyak Gupta, Mengzhou Xia, et al.2023 · 162 citations
  13. Orca 2: Teaching Small Language Models How to ReasonArindam Mitra, Luciano Del Corro, Shweti Mahajan, et al.2023 · 160 citations
  14. Reasoning with Language Model Prompting: A SurveyShuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 160 citations
  15. MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsLiyan Tang, Philippe Laban, Greg Durrett2024 · 159 citations
  16. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
  17. VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web TasksJing Yu Koh, Robert Lo, Lawrence Jang, et al.2024 · 156 citations
  18. SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-trainingTianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.2025 · 151 citations
  19. The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language ModelsJunyi Li, Jie Chen, Ruiyang Ren, et al.2024 · 150 citations
  20. Language Model Tokenizers Introduce Unfairness Between LanguagesAleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, et al.2023 · 149 citations
  21. How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionGuanting Dong, Hongyi Yuan, Keming Lu, et al.2024 · 145 citations
  22. Context-faithful Prompting for Large Language ModelsWenxuan Zhou, Sheng Zhang, Hoifung Poon, et al.2023 · 145 citations
  23. Fact-Checking Complex Claims with Program-Guided ReasoningLiangming Pan, Xiaobao Wu, Xinyuan Lu, et al.2023 · 145 citations
  24. RA-DIT: Retrieval-Augmented Dual Instruction TuningXi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 145 citations
  25. Executable Code Actions Elicit Better LLM AgentsXingyao Wang, Yangyi Chen, Lifan Yuan, et al.2024 · 143 citations
  26. Generative Verifiers: Reward Modeling as Next-Token PredictionLunjun Zhang, Arian Hosseini, Hritik Bansal, et al.2024 · 143 citations
  27. MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
  28. PMC-LLaMA: Towards Building Open-source Language Models for MedicineChaoyi Wu, Weixiong Lin, Xiaoman Zhang, et al.2023 · 142 citations
  29. JudgeLM: Fine-tuned Large Language Models are Scalable JudgesLianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 141 citations
  30. A fine-grained comparison of pragmatic language understanding in humans and language modelsJennifer Hu, Sammy Floyd, Olessia Jouravlev, et al.2023 · 136 citations
  31. Attributed Question Answering: Evaluation and Modeling for Attributed Large Language ModelsBernd Bohnet, Vinh Q. Tran, Pat Verga, et al.2022 · 136 citations
  32. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsQingyu Lu, Baopu Qiu, Liang Ding, et al.2024 · 135 citations
  33. InFoBench: Evaluating Instruction Following Ability in Large Language ModelsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 133 citations
  34. Prompting is not a substitute for probability measurements in large language modelsJennifer Hu, Roger Levy2023 · 133 citations
  35. Self-Alignment with Instruction BacktranslationXian Li, Ping Yu, Chunting Zhou, et al.2023 · 131 citations
  36. Task-aware Retrieval with InstructionsAkari Asai, Timo Schick, Patrick Lewis, et al.2023 · 131 citations
  37. Understanding the Effects of RLHF on LLM Generalisation and DiversityRobert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.2023 · 131 citations
  38. GPT-4V(ision) is a Generalist Web Agent, if GroundedBoyuan Zheng, Boyu Gou, Jihyung Kil, et al.2024 · 130 citations
  39. FreshLLMs: Refreshing Large Language Models with Search Engine AugmentationTu Vu, Mohit Iyyer, Xuezhi Wang, et al.2023 · 130 citations
  40. MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning ProblemsJakub Macina, Nico Daheim, Sankalan Chowdhury, et al.2023 · 130 citations
  41. Deductive Verification of Chain-of-Thought ReasoningZhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 128 citations
  42. Time Travel in LLMs: Tracing Data Contamination in Large Language ModelsShahriar Golchin, Mihai Surdeanu2023 · 127 citations
  43. 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
  44. Fine-tuning Language Models for FactualityKatherine Tian, Eric Mitchell, Huaxiu Yao, et al.2023 · 120 citations
  45. GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionOscar Sainz, Iker Garcia-Ferrero, Rodrigo Agerri, et al.2023 · 114 citations
  46. RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective AugmentationFangyuan Xu, Weijia Shi, Eunsol Choi2023 · 114 citations
  47. ALLaM: Large Language Models for Arabic and EnglishM Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
  48. Quiet-STaR: Language models can teach themselves to think before speaking2024 · 113 citations
  49. ExpertQA: Expert-Curated Questions and Attributed AnswersChaitanya Malaviya, Subin Lee, Sihao Chen, et al.2024 · 109 citations
  50. LENS: A Learnable Evaluation Metric for Text SimplificationMounica Maddela, Yao Dou, David Heineman, et al.2023 · 103 citations
  51. MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical ReasoningKe Wang, Houxing Ren, Aojun Zhou, et al.2023 · 98 citations
  52. LongAlign: A Recipe for Long Context Alignment of Large Language ModelsYushi Bai, Xin Lv, Jiajie Zhang, et al.2024 · 97 citations
  53. MAmmoTH2: Scaling Instructions from the WebXiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 94 citations
  54. The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMsLaura Ruis, Akbir Khan, Stella Biderman, et al.2022 · 86 citations
  55. PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics CapabilitiesSettaluri Sravanthi, Meet Doshi, Pavan Tankala, et al.2024 · 75 citations
  56. Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change AnalysisMario Giulianelli, Iris Luden, Raquel Fernandez, et al.2023 · 40 citations
  57. Transcending Scaling Laws with 0.1% Extra ComputeYi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 40 citations
  58. The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation ClassificationChloé Braud, Yang Janet Liu, Eleni Metheniti, et al.2023 · 37 citations
  59. Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and ParaphrasingJaehun Jung, Peter West, Liwei Jiang, et al.2023 · 33 citations
  60. Seq2seq is All You Need for Coreference ResolutionWenzheng Zhang, Sam Wiseman, Karl Stratos2023 · 32 citations
  61. Machine Translation Meta Evaluation through Translation Accuracy Challenge SetsNikita Moghe, Arnisa Fazla, Chantal Amrhein, et al.2025 · 28 citations
  62. Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?Ajay Patel, Nicholas Andrews, Chris Callison-Burch2022 · 24 citations
  63. MedArabiQ: Benchmarking Large Language Models on Arabic Medical TasksMouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf, et al.2025 · 22 citations
  64. DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic RulesYanchen Liu, William Held, Diyi Yang2023 · 20 citations
  65. CAW-coref: Conjunction-Aware Word-level Coreference ResolutionKarel D'Oosterlinck, Semere Kiros Bitew, Brandon Papineau, et al.2023 · 17 citations
  66. DiscoFlan: Instruction Fine-tuning and Refined Text Generation for Discourse Relation Label ClassificationKaveri Anuranjana2023 · 13 citations
  67. Dialogue Discourse Parsing as Generation: A Sequence-to-Sequence LLM-based ApproachChuyuan Li, Yuwei Yin, Giuseppe Carenini2024 · 11 citations
  68. Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question AnsweringNeha Srikanth, Rupak Sarkar, Heran Mane, et al.2024 · 11 citations
  69. Finding Common Ground: Annotating and Predicting Common Ground in Spoken ConversationsMagdalena Markowska, Mohammad Taghizadeh, Adil Soubki, et al.2023 · 11 citations
  70. How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?Neha Srikanth, Marine Carpuat, Rachel Rudinger2024 · 10 citations
  71. Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer ReviewsNils Dycke, Ilia Kuznetsov, Iryna Gurevych2023 · 10 citations
  72. GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and DomainsYang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, et al.2024 · 9 citations
  73. Linear Cross-document Event Coreference Resolution with X-AMRShafiuddin Rehan Ahmed, George Arthur Baker, Evi Judge, et al.2024 · 9 citations
  74. TATA: Stance Detection via Topic-Agnostic and Topic-Aware EmbeddingsHans Hanley, Zakir Durumeric2023 · 9 citations
  75. Advancing Dialectal Arabic to Modern Standard Arabic Machine TranslationAbdullah Alabdullah, Lifeng Han, Chenghua Lin2025 · 8 citations
  76. Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for SwedishOskar Holmström, Jenny Kunz, Marco Kuhlmann2023 · 8 citations
  77. AraFinNews: Arabic Financial Summarisation with Domain-Adapted LLMsMo El-Haj, Paul Rayson2025 · 4 citations
  78. Frame In, Frame Out: Measuring Framing Bias in LLM-Generated News SummariesValeria Pastorino, Nafise Sadat Moosavi2026 · 3 citations
  79. WordNet under Scrutiny: Dictionary Examples in the Era of Large Language ModelsFatemah Yousef Almeman, Steven Schockaert, Luis Espinosa Anke2024 · 2 citations
  80. Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and SafetyQian Shen, Fanghua Cao, Min Yao, et al.2026 · 1 citation
  81. Missing Links: LLM-Augmentation of Event Triggers of State Changes in the OpenPI DatasetKyeongmin Rim, James Pustejovsky2026 · 1 citation
  82. EtymoLink: A Structured English Etymology DatasetYuan Gao, Weiwei Sun2024 · 1 citation
  83. A Single Model Ensemble Framework for Neural Machine Translation Using Pivot TranslationSeokjin Oh, Keonwoong Noh, Woohwan Jung2026
  84. ArgAssist: LLM-based Argument Synthesis for Insurance DisputesAnubhav Sinha, Nitin Ramrakhiyani, Sachin Pawar, et al.2026
  85. HistoryBankQA: Multilingual Temporal Question Answering on Historical EventsBiswadip Mandal, Anant Khandelwal, Manish Gupta2026
  86. Modelling Idiomatic Expressions in Abstract Meaning RepresentationVenera Gareeva, Johannes Heinecke2026
  87. NegNLI-BR: A Brazilian Portuguese Benchmark for Negation in Natural Language InferenceMatheus Westhelle, Viviane Moreira2026
  88. Russian Generative Spelling, Punctuation and Capitalization CorrectionNikita Martynov, Danil Astafurov, Ulyana Isaeva, et al.2026
  89. Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM JudgesAnuradha Welivita, Fawzia Zeitoun, Pearl Pu2026
  90. Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)Yanjie Gao (高彦杰), Yueguo Chen (陈跃国)2025

1 2

1986 more papers of our library cite it; they have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/papers/chung-2022-scaling-instruction-finetuned-language-models/cited-by/page/2/