Who cites Tom B. Brown
- 8-bit Optimizers via Block-wise QuantizationTim Dettmers, Mike Lewis, Sam Shleifer, et al.2021 · 177 citations
- RealTime QA: What's the Answer Right Now?Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, et al.2022 · 176 citations
- Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal ProofsAlbert Q. Jiang, Sean Welleck, Jin Peng Zhou, et al.2022 · 175 citations
- Multilingual LAMA: Investigating Knowledge in Multilingual Pretrained Language ModelsNora Kassner, Philipp Dufter, Hinrich Schütze2021 · 175 citations
- DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated TextJinyan Su, Terry Zhuo, Di Wang, et al.2023 · 172 citations
- SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language ModelLoubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.2025 · 171 citations
- 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
- ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question AnsweringZhiyu Chen, Shiyang Li, Charese Smiley, et al.2022 · 171 citations
- Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMsSimone Balloccu, Patrícia Schmidtová, Mateusz Lango, et al.2024 · 170 citations
- AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-TuningQingru Zhang, Minshuo Chen, Alexander Bukharin, et al.2023 · 170 citations
- Learning to Compress Prompts with Gist TokensJesse Mu, Xiang Lisa Li, Noah Goodman2023 · 170 citations
- Generating Sequences by Learning to Self-CorrectSean Welleck, Ximing Lu, Peter West, et al.2022 · 170 citations
- AudioPaLM: A Large Language Model That Can Speak and ListenPaul K. Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen, et al.2023 · 169 citations
- Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityCunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 169 citations
- WebVoyager: Building an End-to-End Web Agent with Large Multimodal ModelsHongliang He, Wenlin Yao, Kaixin Ma, et al.2024 · 168 citations
- Aligning Large Multimodal Models with Factually Augmented RLHFZhiqing Sun, Sheng Shen, Shengcao Cao, et al.2023 · 168 citations
- SqueezeLLM: Dense-and-Sparse QuantizationSehoon Kim, Coleman Hooper, Amir Gholami, et al.2023 · 168 citations
- ShortGPT: Layers in Large Language Models are More Redundant Than You ExpectXin Men, Mingyu Xu, Qingyu Zhang, et al.2024 · 167 citations
- Deduplicating Training Data Mitigates Privacy Risks in Language ModelsNikhil Kandpal, Eric Wallace, Colin Raffel2022 · 166 citations
- Generative Representational Instruction TuningNiklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 165 citations
- Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge ConflictsJian Xie, Kai Zhang, Jiangjie Chen, et al.2023 · 165 citations
- Binding Language Models in Symbolic LanguagesZhoujun Cheng, Tianbao Xie, Peng Shi, et al.2022 · 165 citations
- On Generative Spoken Language Modeling from Raw AudioKushal Lakhotia, Eugene Kharitonov, Wei-Ning Hsu, et al.2021 · 165 citations
- Sustainable Modular Debiasing of Language ModelsAnne Lauscher, Tobias Lueken, Goran Glavaš2021 · 165 citations
- Large Language Diffusion ModelsShen Nie, Fengqi Zhu, Zebin You, et al.2025 · 164 citations
- Do All Languages Cost the Same? Tokenization in the Era of Commercial Language ModelsOrevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.2023 · 164 citations
- PromptSource: An Integrated Development Environment and Repository for Natural Language PromptsStephen H. Bach, Victor Sanh, Zheng-Xin Yong, et al.2022 · 164 citations
- Quark: Controllable Text Generation with Reinforced UnlearningXiming Lu, Sean Welleck, Jack Hessel, et al.2022 · 164 citations
- BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex InstructionsTerry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.2024 · 163 citations
- Promptbreeder: Self-Referential Self-Improvement Via Prompt EvolutionChrisantha Fernando, Dylan Banarse, Henryk Michalewski, et al.2023 · 163 citations
- Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionCollin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.2023 · 163 citations
- Long-form factuality in large language modelsJerry Wei, Chengrun Yang, Xinying Song, et al.2024 · 162 citations
- Catastrophic Jailbreak of Open-source LLMs via Exploiting GenerationYangsibo Huang, Samyak Gupta, Mengzhou Xia, et al.2023 · 162 citations
- GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak PromptsJiahao Yu, Xingwei Lin, Zheng Yu, et al.2023 · 162 citations
- LooGLE: Can Long-Context Language Models Understand Long Contexts?Jiaqi Li, Mengmeng Wang, Zilong Zheng, et al.2023 · 162 citations
- Impact of Pretraining Term Frequencies on Few-Shot Numerical ReasoningYasaman Razeghi, Robert L Logan IV, Matt Gardner, et al.2022 · 162 citations
- SCROLLS: Standardized CompaRison Over Long Language SequencesUri Shaham, Elad Segal, Maor Ivgi, et al.2022 · 162 citations
- Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task AgentsZihao Wang, Shaofei Cai, Guanzhou Chen, et al.2023 · 161 citations
- Scaling Synthetic Data Creation with 1,000,000,000 PersonasTao Ge, Xin Chan, Xiaoyang Wang, et al.2024 · 160 citations
- ChatGPT as a Factual Inconsistency Evaluator for Text SummarizationZheheng Luo, Qianqian Xie, Sophia Ananiadou2023 · 160 citations
- Reasoning with Language Model Prompting: A SurveyShuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 160 citations
- Larger-Scale Transformers for Multilingual Masked Language ModelingNaman Goyal, Jingfei Du, Myle Ott, et al.2021 · 160 citations
- InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyWeiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 159 citations
- PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel ComputationWei Zeng, Xiaozhe Ren, Teng Su, et al.2021 · 159 citations
- AgentTuning: Enabling Generalized Agent Abilities for LLMsAohan Zeng, Mingdao Liu, Rui Lu, et al.2023 · 158 citations
- GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation ModelsAohan Zeng, Xin Lv, Qinkai Zheng, et al.2025 · 157 citations
- From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction TuningMing Li, Yong Zhang, Zhitao Li, et al.2023 · 157 citations
- DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
- VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web TasksJing Yu Koh, Robert Lo, Lawrence Jang, et al.2024 · 156 citations
- Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors PersistMarzena Karpinska, Mohit Iyyer2023 · 156 citations
- The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation EvaluationPatrick Fernandes, Daniel Deutsch, Mara Finkelstein, et al.2023 · 156 citations
- Canine: Pre-training an Efficient Tokenization-Free Encoder for Language RepresentationJonathan H. Clark, Dan Garrette, Iulia Turc, et al.2022 · 156 citations
- HunyuanVideo: A Systematic Framework For Large Video Generative ModelsWeijie Kong, Qi Tian, Zijian Zhang, et al.2024 · 155 citations
- Moshi: a speech-text foundation model for real-time dialogueAlexandre Defossez, Laurent Mazare, Manu Orsini, et al.2024 · 154 citations
- Large Language Models with Controllable Working MemoryDaliang Li, Ankit Singh Rawat, Manzil Zaheer, et al.2023 · 154 citations
- TheoremQA: A Theorem-driven Question Answering DatasetWenhu Chen, Ming Yin, Max Ku, et al.2023 · 154 citations
- Leveraging Large Language Models for Multiple Choice Question AnsweringJoshua Robinson, Christopher Michael Rytting, David Wingate2022 · 154 citations
- Towards a Cleaner Document-Oriented Multilingual Crawled CorpusJulien Abadji, Pedro Ortiz Suarez, Laurent Romary, et al.2022 · 154 citations
- Can GPT-3 Perform Statutory Reasoning?Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme2023 · 153 citations
- Label Words are Anchors: An Information Flow Perspective for Understanding In-Context LearningLean Wang, Lei Li, Damai Dai, et al.2023 · 153 citations
- Locally Typical SamplingClara Meister, Tiago Pimentel, Gian Wiher, et al.2023 · 152 citations
- REFINER: Reasoning Feedback on Intermediate RepresentationsDebjit Paul, Mete Ismayilzada, Maxime Peyrard, et al.2023 · 152 citations
- ChatGPT MT: Competitive for High- (but Not Low-) Resource LanguagesNathaniel Robinson, Perez Ogayo, David R. Mortensen, et al.2023 · 151 citations
- 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
- AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsXingwei He, Zhenghao Lin, Yeyun Gong, et al.2023 · 150 citations
- Generation-Augmented Retrieval for Open-domain Question AnsweringYuning Mao, Pengcheng He, Xiaodong Liu, et al.2020 · 150 citations
- ProsocialDialog: A Prosocial Backbone for Conversational AgentsHyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.2022 · 149 citations
- ROSCOE: A Suite of Metrics for Scoring Step-by-Step ReasoningOlga Golovneva, Moya Chen, Spencer Poff, et al.2022 · 149 citations
- SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language ModelsXiaoxuan Wang, Ziniu Hu, Pan Lu, et al.2023 · 148 citations
- Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative DecodingJun Zhang, Jue Wang, Huan Li, et al.2024 · 146 citations
- Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability CurvatureGuangsheng Bao, Yanbin Zhao, Zhiyang Teng, et al.2023 · 146 citations
- How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionGuanting Dong, Hongyi Yuan, Keming Lu, et al.2024 · 145 citations
- Context-faithful Prompting for Large Language ModelsWenxuan Zhou, Sheng Zhang, Hoifung Poon, et al.2023 · 145 citations
- Fact-Checking Complex Claims with Program-Guided ReasoningLiangming Pan, Xiaobao Wu, Xinyuan Lu, et al.2023 · 145 citations
- Self-Evaluation Guided Beam Search for ReasoningYuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.2023 · 145 citations
- The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual DatasetHugo Laurençon, Lucile Saulnier, Thomas Wang, et al.2023 · 145 citations
- Unified Demonstration Retriever for In-Context LearningXiaonan Li, Kai Lv, Hang Yan, et al.2023 · 144 citations
- Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought FrameworkRuochen Zhao, Xingxuan Li, Shafiq Joty, et al.2023 · 144 citations
- In-Context Learning for Few-Shot Dialogue State TrackingYushi Hu, Chia-Hsuan Lee, Tianbao Xie, et al.2022 · 144 citations
- Is GPT-3 a Good Data Annotator?Bosheng Ding, Chengwei Qin, Linlin Liu, et al.2022 · 144 citations
- MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
- In-Context Learning Creates Task VectorsRoee Hendel, Mor Geva, Amir Globerson2023 · 142 citations
- PMC-LLaMA: Towards Building Open-source Language Models for MedicineChaoyi Wu, Weixiong Lin, Xiaoman Zhang, et al.2023 · 142 citations
- ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsShibo Hao, Tianyang Liu, Zhen Wang, et al.2023 · 142 citations
- TALM: Tool Augmented Language ModelsAaron Parisi, Yao Zhao, Noah Fiedel2022 · 142 citations
- Rethinking embedding coupling in pre-trained language modelsHyung Won Chung, Thibault Févry, Henry Tsai, et al.2020 · 142 citations
- JudgeLM: Fine-tuned Large Language Models are Scalable JudgesLianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 141 citations
- ProofNet: Autoformalizing and Formally Proving Undergraduate-Level MathematicsZhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, et al.2023 · 141 citations
- How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language modelMichael Hanna, Ollie Liu, Alexandre Variengien2023 · 140 citations
- A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text GenerationTianyu Liu, Yizhe Zhang, Chris Brockett, et al.2022 · 140 citations
- 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
- Diverse Demonstrations Improve In-context Compositional GeneralizationItay Levy, Ben Bogin, Jonathan Berant2023 · 139 citations
- 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
- DeepInception: Hypnotize Large Language Model to Be JailbreakerXuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 138 citations
- Exploring Length Generalization in Large Language ModelsCem Anil, Yuhuai Wu, Anders Andreassen, et al.2022 · 138 citations
- Investigating Data Contamination in Modern Benchmarks for Large Language ModelsChunyuan Deng, Yilun Zhao, Xiangru Tang, et al.2024 · 137 citations
- Efficient Training of Language Models to Fill in the MiddleMohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022 · 137 citations
- Agent Laboratory: Using LLM Agents as Research AssistantsSamuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 136 citations
- Attributed Question Answering: Evaluation and Modeling for Attributed Large Language ModelsBernd Bohnet, Vinh Q. Tran, Pat Verga, et al.2022 · 136 citations
- NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead HeuristicsXiming Lu, Sean Welleck, Peter West, et al.2022 · 136 citations
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