🧑‍🔬 Who cites Niklas Muennighoff

5,652 citations of their works from 4,552 papers of our library (of the 140,884 whose bibliographies we read) · 301 with a page here, the most cited first · page 2 of 4 · 101–200 · ← Niklas Muennighoff

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101. Large Language Models Sensitivity to The Order of Options in Multiple-Choice QuestionsPouya Pezeshkpour, Estevam Hruschka2023 · 256 citations
102. Fine-Tuning LLaMA for Multi-Stage Text RetrievalXueguang Ma, Liang Wang, Nan Yang, et al.2023 · 254 citations
103. RedPajama: an Open Dataset for Training Large Language ModelsMaurice Weber, Daniel Fu, Quentin Anthony, et al.2024 · 247 citations
104. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsBoxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 246 citations
105. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAhmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
106. NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each BenchmarkOscar Sainz, Jon Campos, Iker García-Ferrero, et al.2023 · 245 citations
107. OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationSrinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, et al.2022 · 237 citations
108. mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text RetrievalXin Zhang, Yanzhao Zhang, Dingkun Long, et al.2024 · 236 citations
109. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 236 citations
110. Humanity's Last ExamLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 235 citations
111. Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human SupervisionZhiqing Sun, Yikang Shen, Qinhong Zhou, et al.2023 · 232 citations
112. NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsChankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 219 citations
113. Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language ModelsNeha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.2023 · 217 citations
114. FOLIO: Natural Language Reasoning with First-Order LogicSimeng Han, Hailey Schoelkopf, Yilun Zhao, et al.2022 · 217 citations
115. Distilling Reasoning Capabilities into Smaller Language ModelsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 216 citations
116. GAIA: a benchmark for General AI AssistantsGregoire Mialon, Clementine Fourrier, Craig Swift, et al.2023 · 211 citations
117. AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent BehaviorsWeize Chen, Yusheng Su, Jingwei Zuo, et al.2023 · 210 citations
118. LLM2Vec: Large Language Models Are Secretly Powerful Text EncodersParishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, et al.2024 · 209 citations
119. Reinforced Self-Training (ReST) for Language ModelingCaglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.2023 · 209 citations
120. PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about ChangeKarthik Valmeekam, Matthew Marquez, Alberto Olmo, et al.2022 · 209 citations
121. Prompting GPT-3 To Be ReliableChenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 206 citations
122. Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningShivalika Singh, Freddie Vargus, Daniel D'souza, et al.2024 · 202 citations
123. TinyStories: How Small Can Language Models Be and Still Speak Coherent English?Ronen Eldan, Yuanzhi Li2023 · 202 citations
124. Aligning Large Language Models with Human: A SurveyYufei Wang, Wanjun Zhong, Liangyou Li, et al.2023 · 199 citations
125. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 198 citations
126. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal ModelsJinguo Zhu, Weiyun Wang, Zhe Chen, et al.2025 · 195 citations
127. DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code IntelligenceDeepSeek-AI, Qihao Zhu, Daya Guo, et al.2024 · 195 citations
128. Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human FeedbackViet Lai, Chien Nguyen, Nghia Ngo, et al.2023 · 194 citations
129. From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder PipelineTianle Li, Wei-Lin Chiang, Evan Frick, et al.2024 · 191 citations
130. One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsHongjin Su, Weijia Shi, Jungo Kasai, et al.2022 · 191 citations
131. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesSander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 187 citations
132. Adaptive Machine Translation with Large Language ModelsYasmin Moslem, Rejwanul Haque, John D. Kelleher, et al.2023 · 186 citations
133. LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 184 citations
134. Aya Expanse: Combining Research Breakthroughs for a New Multilingual FrontierJohn Dang, Shivalika Singh, Daniel D'souza, et al.2024 · 180 citations
135. 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
136. Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual EvaluationShivalika Singh, Angelika Romanou, Clémentine Fourrier, et al.2025 · 179 citations
137. Investigating Cultural Alignment of Large Language ModelsBadr AlKhamissi, Muhammad ElNokrashy, Mai Alkhamissi, et al.2024 · 177 citations
138. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 177 citations
139. LILA: A Unified Benchmark for Mathematical ReasoningSwaroop Mishra, Matthew Finlayson, Pan Lu, et al.2022 · 176 citations
140. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 174 citations
141. What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction TuningWei Liu, Weihao Zeng, Keqing He, et al.2023 · 174 citations
142. A-MEM: Agentic Memory for LLM AgentsWujiang Xu, Zujie Liang, Kai Mei, et al.2025 · 171 citations
143. SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language ModelLoubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.2025 · 171 citations
144. Aya 23: Open Weight Releases to Further Multilingual ProgressViraat Aryabumi, John Dang, Dwarak Talupuru, et al.2024 · 171 citations
145. LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic ProversTheo X. Olausson, Alex Gu, Benjamin Lipkin, et al.2023 · 171 citations
146. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityCunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 169 citations
147. Aligning Large Multimodal Models with Factually Augmented RLHFZhiqing Sun, Sheng Shen, Shengcao Cao, et al.2023 · 168 citations
148. Generative Representational Instruction TuningNiklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 165 citations
149. Do All Languages Cost the Same? Tokenization in the Era of Commercial Language ModelsOrevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.2023 · 164 citations
150. From System 1 to System 2: A Survey of Reasoning Large Language ModelsZhong-Zhi Li, Duzhen Zhang, Ming-Liang Zhang, et al.2025 · 163 citations
151. BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex InstructionsTerry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.2024 · 163 citations
152. Orca 2: Teaching Small Language Models How to ReasonArindam Mitra, Luciano Del Corro, Shweti Mahajan, et al.2023 · 160 citations
153. Reasoning with Language Model Prompting: A SurveyShuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 160 citations
154. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyWeiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 159 citations
155. LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt CompressionZhuoshi Pan, Qianhui Wu, Huiqiang Jiang, et al.2024 · 159 citations
156. LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt CompressionHuiqiang Jiang, Qianhui Wu, Xufang Luo, et al.2023 · 158 citations
157. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation ModelsAohan Zeng, Xin Lv, Qinkai Zheng, et al.2025 · 157 citations
158. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
159. ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMsJustin Chen, Swarnadeep Saha, Mohit Bansal2024 · 154 citations
160. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsYang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 153 citations
161. BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and LanguagesJunho Myung, Nayeon Lee, Yi Zhou, et al.2024 · 147 citations
162. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsMicrosoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 145 citations
163. Self-Evaluation Guided Beam Search for ReasoningYuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.2023 · 145 citations
164. Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-CollaborationZhenhailong Wang, Shaoguang Mao, Wenshan Wu, et al.2023 · 139 citations
165. Agent Laboratory: Using LLM Agents as Research AssistantsSamuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 136 citations
166. A Roadmap to Pluralistic AlignmentTaylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 135 citations
167. DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingZhiyu Wu, Xiaokang Chen, Zizheng Pan, et al.2024 · 135 citations
168. InFoBench: Evaluating Instruction Following Ability in Large Language ModelsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 133 citations
169. 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
170. EuroLLM: Multilingual Language Models for EuropePedro Henrique Martins, Patrick Fernandes, Joao Alves, et al.2024 · 131 citations
171. Task-aware Retrieval with InstructionsAkari Asai, Timo Schick, Patrick Lewis, et al.2023 · 131 citations
172. FLUTE: Figurative Language Understanding through Textual ExplanationsTuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.2022 · 131 citations
173. Faithful Logical Reasoning via Symbolic Chain-of-ThoughtJundong Xu, Hao Fei, Liangming Pan, et al.2024 · 129 citations
174. Deductive Verification of Chain-of-Thought ReasoningZhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 128 citations
175. ZeroSCROLLS: A Zero-Shot Benchmark for Long Text UnderstandingUri Shaham, Maor Ivgi, Avia Efrat, et al.2023 · 128 citations
176. Fanar: An Arabic-Centric Multimodal Generative AI PlatformFanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
177. AceGPT, Localizing Large Language Models in ArabicHuang Huang, Fei Yu, Jianqing Zhu, et al.2024 · 127 citations
178. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryChaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 125 citations
179. 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
180. Nomic Embed: Training a Reproducible Long Context Text EmbedderZach Nussbaum, John X. Morris, Brandon Duderstadt, et al.2024 · 123 citations
181. Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
182. Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across LanguagesLibo Qin, Qiguang Chen, Fuxuan Wei, et al.2023 · 122 citations
183. L1: Controlling How Long A Reasoning Model Thinks With Reinforcement LearningPranjal Aggarwal, Sean Welleck2025 · 119 citations
184. DeepSeek-V4: Towards Highly Efficient Million-Token Context IntelligenceDeepSeek-AI, Anyi Xu, Bangcai Lin, et al.2026 · 117 citations
185. ArabicMMLU: Assessing Massive Multitask Language Understanding in ArabicFajri Koto, Haonan Li, Sara Shatnawi, et al.2024 · 116 citations
186. GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionOscar Sainz, Iker Garcia-Ferrero, Rodrigo Agerri, et al.2023 · 114 citations
187. OpenThoughts: Data Recipes for Reasoning ModelsEtash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 113 citations
188. ALLaM: Large Language Models for Arabic and EnglishM Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
189. CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionAlex Gu, Baptiste Rozière, Hugh Leather, et al.2024 · 113 citations
190. Olmo 3Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
191. Evaluating the Performance of Large Language Models on GAOKAO BenchmarkXiaotian Zhang, Chunyang Li, Yi Zong, et al.2023 · 107 citations
192. Inverse Scaling: When Bigger Isn't BetterIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 99 citations
193. MAmmoTH2: Scaling Instructions from the WebXiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 94 citations
194. GLM-5: from Vibe Coding to Agentic EngineeringAohan Zeng, Xin Lv, Zhenyu Hou, et al.2026 · 89 citations
195. NL-Augmenter: A Framework for Task-Sensitive Natural Language AugmentationKaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.2023 · 84 citations
196. PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics CapabilitiesSettaluri Sravanthi, Meet Doshi, Pavan Tankala, et al.2024 · 75 citations
197. TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic VarietiesKarima Kadaoui, Samar M. Magdy, Abdul Waheed, et al.2023 · 60 citations
198. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsNikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 47 citations
199. Metaphor Understanding Challenge Dataset for LLMsXiaoyu Tong, Rochelle Choenni, Martha Lewis, et al.2024 · 47 citations
200. Getting the most out of your tokenizer for pre-training and domain adaptationGautier Dagan, Gabriel Synnaeve, Baptiste Roziere2024 · 44 citations

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