Who cites Charles Sutton
- Lawyer LLaMA Technical ReportQuzhe Huang, Mingxu Tao, Chen Zhang, et al.2023 · 155 citations
- Moshi: a speech-text foundation model for real-time dialogueAlexandre Defossez, Laurent Mazare, Manu Orsini, et al.2024 · 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
- 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
- Training Language Models to Self-Correct via Reinforcement LearningAviral Kumar, Vincent Zhuang, Rishabh Agarwal, et al.2024 · 151 citations
- AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsXingwei He, Zhenghao Lin, Yeyun Gong, et al.2023 · 150 citations
- Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and MitigationNiels Mundler, Jingxuan He, Slobodan Jenko, et al.2023 · 150 citations
- ROSCOE: A Suite of Metrics for Scoring Step-by-Step ReasoningOlga Golovneva, Moya Chen, Spencer Poff, et al.2022 · 149 citations
- BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and LanguagesJunho Myung, Nayeon Lee, Yi Zhou, et al.2024 · 147 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
- Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsMicrosoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 145 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
- Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative DecodingHeming Xia, Zhe Yang, Qingxiu Dong, et al.2024 · 145 citations
- Context-faithful Prompting for Large Language ModelsWenxuan Zhou, Sheng Zhang, Hoifung Poon, et al.2023 · 145 citations
- RA-DIT: Retrieval-Augmented Dual Instruction TuningXi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 145 citations
- Self-Evaluation Guided Beam Search for ReasoningYuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.2023 · 145 citations
- Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought FrameworkRuochen Zhao, Xingxuan Li, Shafiq Joty, et al.2023 · 144 citations
- Is GPT-3 a Good Data Annotator?Bosheng Ding, Chengwei Qin, Linlin Liu, et al.2022 · 144 citations
- Generative Verifiers: Reward Modeling as Next-Token PredictionLunjun Zhang, Arian Hosseini, Hritik Bansal, et al.2024 · 143 citations
- MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 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
- JudgeLM: Fine-tuned Large Language Models are Scalable JudgesLianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 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 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
- 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
- A fine-grained comparison of pragmatic language understanding in humans and language modelsJennifer Hu, Sammy Floyd, Olessia Jouravlev, et al.2023 · 136 citations
- MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language FeedbackXingyao Wang, Zihan Wang, Jiateng Liu, et al.2023 · 136 citations
- Attributed Question Answering: Evaluation and Modeling for Attributed Large Language ModelsBernd Bohnet, Vinh Q. Tran, Pat Verga, et al.2022 · 136 citations
- Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse AttentionJingyang Yuan, Huazuo Gao, Damai Dai, et al.2025 · 135 citations
- Token-Budget-Aware LLM ReasoningTingxu Han, Zhenting Wang, Chunrong Fang, et al.2024 · 135 citations
- SLiC-HF: Sequence Likelihood Calibration with Human FeedbackYao Zhao, Rishabh Joshi, Tianqi Liu, et al.2023 · 135 citations
- Many-Shot In-Context LearningRishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 134 citations
- Few-Shot Self-Rationalization with Natural Language PromptsAna Marasovic, Iz Beltagy, Doug Downey, et al.2022 · 134 citations
- InFoBench: Evaluating Instruction Following Ability in Large Language ModelsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 133 citations
- Long-context LLMs Struggle with Long In-context LearningTianle Li, Ge Zhang, Quy Duc Do, et al.2024 · 132 citations
- Understanding the Effects of RLHF on LLM Generalisation and DiversityRobert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.2023 · 131 citations
- GPT-4V(ision) is a Generalist Web Agent, if GroundedBoyuan Zheng, Boyu Gou, Jihyung Kil, et al.2024 · 130 citations
- MLE-bench: Evaluating Machine Learning Agents on Machine Learning EngineeringJun Shern Chan, Neil Chowdhury, Oliver Jaffe, et al.2024 · 130 citations
- FreshLLMs: Refreshing Large Language Models with Search Engine AugmentationTu Vu, Mohit Iyyer, Xuezhi Wang, et al.2023 · 130 citations
- Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackYao Fu, Hao Peng, Tushar Khot, et al.2023 · 129 citations
- Deductive Verification of Chain-of-Thought ReasoningZhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 128 citations
- Time Travel in LLMs: Tracing Data Contamination in Large Language ModelsShahriar Golchin, Mihai Surdeanu2023 · 127 citations
- SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware DecodingZhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 126 citations
- OpenWebMath: An Open Dataset of High-Quality Mathematical Web TextKeiran Paster, Marco Dos Santos, Zhangir Azerbayev, et al.2023 · 124 citations
- 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
- Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language ModelsLei Li, Yuqi Wang, Runxin Xu, et al.2024 · 123 citations
- Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
- Machine Learning for Ancient Languages: A SurveyThea Sommerschield, Yannis Assael, John Pavlopoulos, et al.2023 · 123 citations
- Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across LanguagesLibo Qin, Qiguang Chen, Fuxuan Wei, et al.2023 · 122 citations
- LEVER: Learning to Verify Language-to-Code Generation with ExecutionAnsong Ni, Srini Iyer, Dragomir Radev, et al.2023 · 122 citations
- LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal DomainJoel Niklaus, Veton Matoshi, Pooja Rani, et al.2023 · 122 citations
- Generative Judge for Evaluating AlignmentJunlong Li, Shichao Sun, Weizhe Yuan, et al.2023 · 121 citations
- AlphaMath Almost Zero: Process Supervision without ProcessGuoxin Chen, Minpeng Liao, Chengxi Li, et al.2024 · 119 citations
- Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question AnsweringJinheon Baek, Alham Fikri Aji, Amir Saffari2023 · 118 citations
- Chameleon: Mixed-Modal Early-Fusion Foundation ModelsChameleon Team2024 · 117 citations
- ArabicMMLU: Assessing Massive Multitask Language Understanding in ArabicFajri Koto, Haonan Li, Sara Shatnawi, et al.2024 · 116 citations
- From Persona to Personalization: A Survey on Role-Playing Language AgentsJiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 114 citations
- 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
- SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language ModelsLijun Li, Bowen Dong, Ruohui Wang, et al.2024 · 114 citations
- GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionOscar Sainz, Iker Garcia-Ferrero, Rodrigo Agerri, et al.2023 · 114 citations
- OpenThoughts: Data Recipes for Reasoning ModelsEtash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 113 citations
- ALLaM: Large Language Models for Arabic and EnglishM Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
- CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionAlex Gu, Baptiste Rozière, Hugh Leather, et al.2024 · 113 citations
- Break the Sequential Dependency of LLM Inference Using Lookahead DecodingYichao Fu, Peter Bailis, Ion Stoica, et al.2024 · 112 citations
- V-STaR: Training Verifiers for Self-Taught ReasonersArian Hosseini, Xingdi Yuan, Nikolay Malkin, et al.2024 · 111 citations
- Olmo 3Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
- DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming HeadsGuangxuan Xiao, Jiaming Tang, Jingwei Zuo, et al.2024 · 109 citations
- Orca-Math: Unlocking the potential of SLMs in Grade School MathArindam Mitra, Hamed Khanpour, Corby Rosset, et al.2024 · 109 citations
- ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language ModelsJinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al.2024 · 106 citations
- Skywork-Reward: Bag of Tricks for Reward Modeling in LLMsChris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.2024 · 104 citations
- Nemotron-4 340B Technical ReportNvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 102 citations
- Qwen2.5-1M Technical ReportAn Yang, Bowen Yu, Chengyuan Li, et al.2025 · 100 citations
- Inverse Scaling: When Bigger Isn't BetterIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 99 citations
- Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model ScalingXiaokang Chen, Zhiyu Wu, Xingchao Liu, et al.2025 · 97 citations
- MAmmoTH2: Scaling Instructions from the WebXiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 94 citations
- 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
- The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMsLaura Ruis, Akbir Khan, Stella Biderman, et al.2022 · 86 citations
- D4: Improving LLM Pretraining via Document De-Duplication and DiversificationKushal Tirumala, Daniel Simig, Armen Aghajanyan, et al.2023 · 79 citations
- Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?Yi Tay, Mostafa Dehghani, Samira Abnar, et al.2023 · 79 citations
- PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics CapabilitiesSettaluri Sravanthi, Meet Doshi, Pavan Tankala, et al.2024 · 75 citations
- Iterative Translation Refinement with Large Language ModelsPinzhen Chen, Zhicheng Guo, Barry Haddow, et al.2024 · 73 citations
- What Artificial Neural Networks Can Tell Us About Human Language AcquisitionAlex Warstadt, Samuel R. Bowman2022 · 72 citations
- Tokenization counts: the impact of tokenization on arithmetic in frontier LLMsAaditya K. Singh, DJ Strouse2024 · 53 citations
- Scaling Laws of RoPE-based ExtrapolationXiaoran Liu, Hang Yan, Shuo Zhang, et al.2023 · 53 citations
- XCodeEval: An Execution-based Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and RetrievalMohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al.2024 · 51 citations
- Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language ModelLeonie Weissweiler, Valentin Hofmann, Anjali Kantharuban2023 · 47 citations
- Getting the most out of your tokenizer for pre-training and domain adaptationGautier Dagan, Gabriel Synnaeve, Baptiste Roziere2024 · 44 citations
- Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesChaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 42 citations
- Transcending Scaling Laws with 0.1% Extra ComputeYi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 40 citations
- xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and RetrievalMohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al.2023 · 39 citations
- Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular DataMubashara Akhtar, Abhilash Shankarampeta, Vivek Gupta, et al.2023 · 38 citations
- Towards Effective Disambiguation for Machine Translation with Large Language ModelsVivek Iyer, Pinzhen Chen, Alexandra Birch2023 · 38 citations
- FRMT: A Benchmark for Few-Shot Region-Aware Machine TranslationParker Riley, Timothy Dozat, Jan A. Botha, et al.2023 · 33 citations
- Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal SamplingHritik Bansal, Arian Hosseini, Rishabh Agarwal, et al.2024 · 26 citations
This page in Markdown → https://md.research.elamur.ai/free/en/authors/charles-sutton/cited-by/page/4/