Who cites Paul Barham
- Reducing Activation Recomputation in Large Transformer ModelsVijay Korthikanti, Jared Casper, Sangkug Lym, et al.2022 · 270 citations
- MiniCPM-V: A GPT-4V Level MLLM on Your PhoneYuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 267 citations
- Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What MattersBoshi Wang, Sewon Min, Xiang Deng, et al.2023 · 267 citations
- HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsBernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.2024 · 264 citations
- Are We on the Right Way for Evaluating Large Vision-Language Models?Lin Chen, Jinsong Li, Xiaoyi Dong, et al.2024 · 263 citations
- GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language ModelsIman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, et al.2024 · 262 citations
- DSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesOmar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.2023 · 261 citations
- Large Language Models for Data Annotation and Synthesis: A SurveyZhen Tan, Dawei Li, Song Wang, et al.2024 · 259 citations
- MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training StrategiesShengding Hu, Yuge Tu, Xu Han, et al.2024 · 258 citations
- Large Language Models Sensitivity to The Order of Options in Multiple-Choice QuestionsPouya Pezeshkpour, Estevam Hruschka2023 · 256 citations
- GPT-RE: In-context Learning for Relation Extraction using Large Language ModelsZhen Wan, Fei Cheng, Zhuoyuan Mao, et al.2023 · 252 citations
- Scaling Relationship on Learning Mathematical Reasoning with Large Language ModelsZheng Yuan, Hongyi Yuan, Chengpeng Li, et al.2023 · 252 citations
- Personality Traits in Large Language ModelsGreg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al.2023 · 251 citations
- RedPajama: an Open Dataset for Training Large Language ModelsMaurice Weber, Daniel Fu, Quentin Anthony, et al.2024 · 247 citations
- Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAhmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
- MedAgents: Large Language Models as Collaborators for Zero-shot Medical ReasoningXiangru Tang, Anni Zou, Zhuosheng Zhang, et al.2024 · 244 citations
- Hallucinations in Large Multilingual Translation ModelsNuno M. Guerreiro, Duarte M. Alves, Jonas Waldendorf, et al.2023 · 244 citations
- KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV CacheZirui Liu, Jiayi Yuan, Hongye Jin, et al.2024 · 243 citations
- Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and ToxicityTerry Yue Zhuo, Yujin Huang, Chunyang Chen, et al.2023 · 243 citations
- CLUE: A Chinese Language Understanding Evaluation BenchmarkLiang Xu, Hai Hu, Xuanwei Zhang, et al.2020 · 242 citations
- Language Models can Solve Computer TasksGeunwoo Kim, Pierre Baldi, Stephen McAleer2023 · 239 citations
- RAFT: Reward rAnked FineTuning for Generative Foundation Model AlignmentHanze Dong, Wei Xiong, Deepanshu Goyal, et al.2023 · 239 citations
- Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-ThoughtAbulhair Saparov, He He2022 · 238 citations
- OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationSrinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, et al.2022 · 237 citations
- Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyZeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 236 citations
- Humanity's Last ExamLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 235 citations
- LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation DatasetLianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.2023 · 235 citations
- Evaluating Open-Domain Question Answering in the Era of Large Language ModelsEhsan Kamalloo, Nouha Dziri, Charles Clarke, et al.2023 · 233 citations
- Qwen2-Audio Technical ReportYunfei Chu, Jin Xu, Qian Yang, et al.2024 · 232 citations
- Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human SupervisionZhiqing Sun, Yikang Shen, Qinhong Zhou, et al.2023 · 232 citations
- MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?Renrui Zhang, Dongzhi Jiang, Yichi Zhang, et al.2024 · 231 citations
- From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal LikelihoodKelvin Guu, Panupong Pasupat, Evan Liu, et al.2017 · 230 citations
- OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer EnvironmentsTianbao Xie, Danyang Zhang, Jixuan Chen, et al.2024 · 228 citations
- Hurdles to Progress in Long-form Question AnsweringKalpesh Krishna, Aurko Roy, Mohit Iyyer2021 · 227 citations
- Tower: An Open Multilingual Large Language Model for Translation-Related TasksDuarte M. Alves, Jose Pombal, Nuno M. Guerreiro, et al.2024 · 226 citations
- TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
- What learning algorithm is in-context learning? Investigations with linear modelsEkin Akyürek, Dale Schuurmans, Jacob Andreas, et al.2022 · 224 citations
- Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought PromptingHaoyang Huang, Tianyi Tang, Dongdong Zhang, et al.2023 · 223 citations
- Specializing Smaller Language Models towards Multi-Step ReasoningYao Fu, Hao Peng, Litu Ou, et al.2023 · 222 citations
- ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem SolvingZhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 222 citations
- Beyond neural scaling laws: beating power law scaling via data pruningBen Sorscher, Robert Geirhos, Shashank Shekhar, et al.2022 · 220 citations
- NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsChankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 219 citations
- Self-critiquing models for assisting human evaluatorsWilliam Saunders, Catherine Yeh, Jeff Wu, et al.2022 · 219 citations
- Qwen2.5-Omni Technical ReportJin Xu, Zhifang Guo, Jinzheng He, et al.2025 · 218 citations
- 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
- Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video UnderstandingHang Zhang, Xin Li, Lidong Bing2023 · 217 citations
- FOLIO: Natural Language Reasoning with First-Order LogicSimeng Han, Hailey Schoelkopf, Yilun Zhao, et al.2022 · 217 citations
- Distilling Reasoning Capabilities into Smaller Language ModelsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 216 citations
- Making Language Models Better Reasoners with Step-Aware VerifierYifei Li, Zeqi Lin, Shizhuo Zhang, et al.2023 · 216 citations
- AlpaGasus: Training A Better Alpaca with Fewer DataLichang Chen, Shiyang Li, Jun Yan, et al.2023 · 214 citations
- Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language ModelsMosh Levy, Alon Jacoby, Yoav Goldberg2024 · 212 citations
- GAIA: a benchmark for General AI AssistantsGregoire Mialon, Clementine Fourrier, Craig Swift, et al.2023 · 211 citations
- MADLAD-400: A Multilingual And Document-Level Large Audited DatasetSneha Kudugunta, Isaac Caswell, Biao Zhang, et al.2023 · 211 citations
- Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLPOmar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.2022 · 211 citations
- AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent BehaviorsWeize Chen, Yusheng Su, Jingwei Zuo, et al.2023 · 210 citations
- Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!Yubo Ma, Yixin Cao, Yong Hong, et al.2023 · 210 citations
- LLM2Vec: Large Language Models Are Secretly Powerful Text EncodersParishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, et al.2024 · 209 citations
- 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
- Sources of Hallucination by Large Language Models on Inference TasksNick McKenna, Tianyi Li, Liang Cheng, et al.2023 · 208 citations
- Safe RLHF: Safe Reinforcement Learning from Human FeedbackJosef Dai, Xuehai Pan, Ruiyang Sun, et al.2023 · 207 citations
- Prompting GPT-3 To Be ReliableChenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 206 citations
- LLM+P: Empowering Large Language Models with Optimal Planning ProficiencyBo Liu, Yuqian Jiang, Xiaohan Zhang, et al.2023 · 204 citations
- SALMONN: Towards Generic Hearing Abilities for Large Language ModelsChangli Tang, Wenyi Yu, Guangzhi Sun, et al.2023 · 202 citations
- Autoformalization with Large Language ModelsYuhuai Wu, Albert Q. Jiang, Wenda Li, et al.2022 · 202 citations
- DeepSeek-VL: Towards Real-World Vision-Language UnderstandingHaoyu Lu, Wen Liu, Bo Zhang, et al.2024 · 201 citations
- Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2Hamish Ivison, Yizhong Wang, Valentina Pyatkin, et al.2023 · 199 citations
- Measuring Multimodal Mathematical Reasoning with MATH-Vision DatasetKe Wang, Junting Pan, Weikang Shi, et al.2024 · 198 citations
- A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 198 citations
- MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse AttentionHuiqiang Jiang, Yucheng Li, Chengruidong Zhang, et al.2024 · 197 citations
- ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree SearchDan Zhang, Sining Zhoubian, Ziniu Hu, et al.2024 · 197 citations
- Improving Passage Retrieval with Zero-Shot Question GenerationDevendra Sachan, Mike Lewis, Mandar Joshi, et al.2022 · 197 citations
- The Unreliability of Explanations in Few-shot Prompting for Textual ReasoningXi Ye, Greg Durrett2022 · 196 citations
- InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal ModelsJinguo Zhu, Weiyun Wang, Zhe Chen, et al.2025 · 195 citations
- DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code IntelligenceDeepSeek-AI, Qihao Zhu, Daya Guo, et al.2024 · 195 citations
- What matters when building vision-language models?Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 195 citations
- RRHF: Rank Responses to Align Language Models with Human Feedback without tearsZheng Yuan, Hongyi Yuan, Chuanqi Tan, et al.2023 · 194 citations
- Making Retrieval-Augmented Language Models Robust to Irrelevant ContextOri Yoran, Tomer Wolfson, Ori Ram, et al.2023 · 193 citations
- LLM in a flash: Efficient Large Language Model Inference with Limited MemoryKeivan Alizadeh, Seyed Iman Mirzadeh, Dmitry Belenko, et al.2024 · 192 citations
- MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningJun Chen, Deyao Zhu, Xiaoqian Shen, et al.2023 · 192 citations
- From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder PipelineTianle Li, Wei-Lin Chiang, Evan Frick, et al.2024 · 191 citations
- RAPTOR: Recursive Abstractive Processing for Tree-Organized RetrievalParth Sarthi, Salman Abdullah, Aditi Tuli, et al.2024 · 191 citations
- OpenHands: An Open Platform for AI Software Developers as Generalist AgentsXingyao Wang, Boxuan Li, Yufan Song, et al.2024 · 190 citations
- PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning OptimizationYidong Wang, Zhuohao Yu, Zhengran Zeng, et al.2023 · 189 citations
- The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesSander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 187 citations
- SGPT: GPT Sentence Embeddings for Semantic SearchNiklas Muennighoff2022 · 187 citations
- Adaptive Machine Translation with Large Language ModelsYasmin Moslem, Rejwanul Haque, John D. Kelleher, et al.2023 · 186 citations
- RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language ModelsZekun Moore Wang, Zhongyuan Peng, Haoran Que, et al.2023 · 186 citations
- SemEval-2023 Task 10: Explainable Detection of Online SexismHannah Kirk, Wenjie Yin, Bertie Vidgen, et al.2023 · 185 citations
- Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsMatt Deitke, Christopher Clark, Sangho Lee, et al.2024 · 184 citations
- LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 184 citations
- OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsHugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 183 citations
- Preference Ranking Optimization for Human AlignmentFeifan Song, Bowen Yu, Minghao Li, et al.2023 · 183 citations
- SeamlessM4T: Massively Multilingual & Multimodal Machine TranslationSeamless Communication, Loic Barrault, Yu-An Chung, et al.2023 · 183 citations
- Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language ModelsKushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, et al.2022 · 183 citations
- Large Language Models are few(1)-shot Table ReasonersWenhu Chen2023 · 182 citations
- Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language ModelsYunfei Chu, Jin Xu, Xiaohuan Zhou, et al.2023 · 182 citations
- Aya Expanse: Combining Research Breakthroughs for a New Multilingual FrontierJohn Dang, Shivalika Singh, Daniel D'souza, et al.2024 · 180 citations
- CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 LanguagesThuat Nguyen, Chien Van Nguyen, Viet Dac Lai, et al.2023 · 179 citations
- The False Promise of Imitating Proprietary LLMsArnav Gudibande, Eric Wallace, Charlie Snell, et al.2023 · 178 citations
- Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved YetTom Kocmi, Eleftherios Avramidis, Rachel Bawden, et al.2024 · 177 citations
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