Who cites Allen Nie
- GPT-4 Technical ReportOpenAI, Josh Achiam, Steven Adler, et al.2023 · 12,732 citations
- Training language models to follow instructions with human feedbackLong Ouyang, Jeff Wu, Xu Jiang, et al.2022 · 10,005 citations
- PaLM: Scaling Language Modeling with PathwaysAakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,680 citations
- Large Language Models Encode Clinical KnowledgeKaran Singhal, Shekoofeh Azizi, Tao Tu, et al.2022 · 4,477 citations
- Large language models are zero-shot reasonersTakeshi Kojima, Shixiang Shane Gu, Machel Reid, et al.2022 · 3,795 citations
- A Survey on Evaluation of Large Language ModelsYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,641 citations
- Scaling Instruction-Finetuned Language ModelsHyung Won Chung, Le Hou, Shayne Longpre, et al.2022 · 3,339 citations
- Gemini: A Family of Highly Capable Multimodal ModelsGemini Team, Rohan Anil, Sebastian Borgeaud, et al.2023 · 2,957 citations
- A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
- Sparks of Artificial General Intelligence: Early experiments with GPT-4Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, et al.2023 · 2,400 citations
- Emergent Abilities of Large Language ModelsJason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,229 citations
- TruthfulQA: Measuring How Models Mimic Human FalsehoodsStephanie Lin, Jacob Hilton, Owain Evans2022 · 2,052 citations
- OPT: Open Pre-trained Transformer Language ModelsSusan Zhang, Stephen Roller, Naman Goyal, et al.2022 · 1,720 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,703 citations
- Qwen Technical ReportJinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,645 citations
- Multitask Prompted Training Enables Zero-Shot Task GeneralizationVictor Sanh, Albert Webson, Colin Raffel, et al.2021 · 1,581 citations
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextGemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,522 citations
- DINOv2: Learning Robust Visual Features without SupervisionMaxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,426 citations
- A Comprehensive Overview of Large Language ModelsHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
- The Rise and Potential of Large Language Model Based Agents: A SurveyZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,264 citations
- Phi-3 Technical Report: A Highly Capable Language Model Locally on Your PhoneMarah Abdin, Jyoti Aneja, Hany Awadalla, et al.2024 · 1,113 citations
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemMirac Suzgun, Nathan Scales, Nathanael Schärli, et al.2023 · 1,096 citations
- Bias and Fairness in Large Language Models: A SurveyIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,074 citations
- MTEB: Massive Text Embedding BenchmarkNiklas Muennighoff, Nouamane Tazi, Loïc Magne, et al.2022 · 1,021 citations
- PaLM 2 Technical ReportRohan Anil, Andrew M. Dai, Orhan Firat, et al.2023 · 977 citations
- GPQA: A Graduate-Level Google-Proof Q&A BenchmarkDavid Rein, Betty Li Hou, Asa Cooper Stickland, et al.2023 · 964 citations
- Constitutional AI: Harmlessness from AI FeedbackYuntao Bai, Saurav Kadavath, Sandipan Kundu, et al.2022 · 962 citations
- A Survey on In-context LearningQingxiu Dong, Lei Li, Damai Dai, et al.2023 · 959 citations
- C-Pack: Packed Resources For General Chinese EmbeddingsShitao Xiao, Zheng Liu, Peitian Zhang, et al.2023 · 920 citations
- A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPTJules White, Quchen Fu, Sam Hays, et al.2023 · 902 citations
- A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and InteractivityYejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.2023 · 876 citations
- Do As I Can, Not As I Say: Grounding Language in Robotic AffordancesMichael Ahn, Anthony Brohan, Noah Brown, et al.2022 · 876 citations
- Segment AnythingAlexander Kirillov, Eric Mintun, Nikhila Ravi, et al.2023 · 868 citations
- ChatGPT: Jack of all trades, master of noneJan Kocon, Igor Cichecki, Oliwier Kaszyca, et al.2023 · 865 citations
- Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al.2023 · 823 citations
- Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 811 citations
- GLM-130B: An Open Bilingual Pre-trained ModelAohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 779 citations
- Towards Reasoning in Large Language Models: A SurveyJie Huang, Kevin Chen-Chuan Chang2023 · 778 citations
- Can Large Language Models Transform Computational Social Science?Caleb Ziems, William Held, Omar Shaikh, et al.2023 · 777 citations
- MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding BenchmarkYubo Wang, Xueguang Ma, Ge Zhang, et al.2024 · 731 citations
- Capabilities of GPT-4 on Medical Challenge ProblemsHarsha Nori, Nicholas King, Scott Mayer McKinney, et al.2023 · 711 citations
- Crosslingual Generalization through Multitask FinetuningNiklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 695 citations
- SPECTER: Document-level Representation Learning using Citation-informed TransformersArman Cohan, Sergey Feldman, Iz Beltagy, et al.2020 · 692 citations
- ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All ToolsTeam GLM, Aohan Zeng, Bin Xu, et al.2024 · 688 citations
- Large Language Models Are Human-Level Prompt EngineersYongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, et al.2022 · 678 citations
- Red Teaming Language Models with Language ModelsEthan Perez, Saffron Huang, Francis Song, et al.2022 · 666 citations
- Jailbroken: How Does LLM Safety Training Fail?Alexander Wei, Nika Haghtalab, Jacob Steinhardt2023 · 659 citations
- CoCa: Contrastive Captioners are Image-Text Foundation ModelsJiahui Yu, Zirui Wang, Vijay Vasudevan, et al.2022 · 649 citations
- Encouraging Divergent Thinking in Large Language Models through Multi-Agent DebateTian Liang, Zhiwei He, Wenxiang Jiao, et al.2023 · 643 citations
- SWE-bench: Can Language Models Resolve Real-World GitHub Issues?Carlos E. Jimenez, John Yang, Alexander Wettig, et al.2024 · 617 citations
- BloombergGPT: A Large Language Model for FinanceShijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 612 citations
- Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language ModelShaden Smith, Mostofa Patwary, Brandon Norick, et al.2022 · 602 citations
- The Flan Collection: Designing Data and Methods for Effective Instruction TuningShayne Longpre, Le Hou, Tu Vu, et al.2023 · 592 citations
- s1: Simple test-time scalingNiklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 584 citations
- Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought PromptingMiles Turpin, Julian Michael, Ethan Perez, et al.2023 · 568 citations
- Improving Factuality and Reasoning in Language Models through Multiagent DebateYilun Du, Shuang Li, Antonio Torralba, et al.2023 · 565 citations
- Large Language Models Can Self-ImproveJiaxin Huang, Shixiang Gu, Le Hou, et al.2023 · 563 citations
- Unleashing the potential of prompt engineering for large language modelsBanghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
- Instruction Tuning for Large Language Models: A SurveyShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 517 citations
- Baichuan 2: Open Large-scale Language ModelsAiyuan Yang, Bin Xiao, Bingning Wang, et al.2023 · 513 citations
- LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingYushi Bai, Xin Lv, Jiajie Zhang, et al.2023 · 506 citations
- Few-shot Learning with Multilingual Language ModelsXi Victoria Lin, Todor Mihaylov, Mikel Artetxe, et al.2021 · 497 citations
- GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsNan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 479 citations
- Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timeMitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 476 citations
- Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons LearnedDeep Ganguli, Liane Lovitt, Jackson Kernion, et al.2022 · 460 citations
- MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsPan Lu, Hritik Bansal, Tony Xia, et al.2023 · 441 citations
- The Falcon Series of Open Language ModelsEbtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 436 citations
- Large Legal Fictions: Profiling Legal Hallucinations in Large Language ModelsMatthew Dahl, Varun Magesh, Mirac Suzgun, et al.2024 · 432 citations
- Ethical and social risks of harm from Language ModelsLaura Weidinger, John Mellor, Maribeth Rauh, et al.2021 · 429 citations
- C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation ModelsYuzhen Huang, Yuzhuo Bai, Zhihao Zhu, et al.2023 · 428 citations
- AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackYann Dubois, Xuechen Li, Rohan Taori, et al.2023 · 424 citations
- Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied AgentsWenlong Huang, Pieter Abbeel, Deepak Pathak, et al.2022 · 422 citations
- AgentBench: Evaluating LLMs as AgentsXiao Liu, Hao Yu, Hanchen Zhang, et al.2023 · 405 citations
- Yi: Open Foundation Models by 01.AIAlex Young, Bei Chen, Chao Li, et al.2024 · 402 citations
- FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPUYing Sheng, Lianmin Zheng, Binhang Yuan, et al.2023 · 399 citations
- Whose Opinions Do Language Models Reflect?Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al.2023 · 392 citations
- Large Language Models as OptimizersChengrun Yang, Xuezhi Wang, Yifeng Lu, et al.2023 · 390 citations
- CMMLU: Measuring massive multitask language understanding in ChineseHaonan Li, Yixuan Zhang, Fajri Koto, et al.2023 · 385 citations
- Enhancing Chat Language Models by Scaling High-quality Instructional ConversationsNing Ding, Yulin Chen, Bokai Xu, et al.2023 · 383 citations
- A Survey on Model Compression for Large Language ModelsXunyu Zhu, Jian Li, Yong Liu, et al.2024 · 381 citations
- LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language ModelsNeel Guha; Julian Nyarko; Daniel E. Ho; Christopher Re; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; Enam Hoque; Faiz Surani; Frank Fagan; Galit Sarfaty; Gregory M. Dickinson; Haggai Porat; Jason Hegland; Jessica Wu; Joe Nudell; Joel Niklaus; John Nay; Jonathan H. Choi; Kevin Tobia; Margaret Hagan; Megan Ma; Michael Livermore; Nikon Rasumov-Rahe; Nils Holzenberger; Noam Kolt; Peter Henderson; Sean Rehaag; Sharad Goel; Shang Gao; Spencer Williams; Sunny Gandhi; Tom Zur; Varun Iyer;, Zehua Li2023 · 381 citations
- Tool Learning with Foundation ModelsYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 378 citations
- Mind2Web: Towards a Generalist Agent for the WebXiang Deng, Yu Gu, Boyuan Zheng, et al.2023 · 376 citations
- Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical ReasoningLiangming Pan, Alon Albalak, Xinyi Wang, et al.2023 · 370 citations
- A Survey on Large Language Models for Code GenerationJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 366 citations
- Augmented Language Models: a SurveyGrégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 366 citations
- Orca: Progressive Learning from Complex Explanation Traces of GPT-4Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, et al.2023 · 358 citations
- Unnatural Instructions: Tuning Language Models with (Almost) No Human LaborOr Honovich, Thomas Scialom, Omer Levy, et al.2023 · 358 citations
- Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated FeedbackBaolin Peng, Michel Galley, Pengcheng He, et al.2023 · 354 citations
- BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference DatasetJiaming Ji, Mickel Liu, Juntao Dai, et al.2023 · 352 citations
- TinyLlama: An Open-Source Small Language ModelPeiyuan Zhang, Guangtao Zeng, Tianduo Wang, et al.2024 · 351 citations
- UL2: Unifying Language Learning ParadigmsYi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 335 citations
- Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!Xiangyu Qi, Yi Zeng, Tinghao Xie, et al.2023 · 331 citations
- Are Emergent Abilities of Large Language Models a Mirage?Rylan Schaeffer, Brando Miranda, Sanmi Koyejo2023 · 323 citations
- WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationAlisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 314 citations
- Faith and Fate: Limits of Transformers on CompositionalityNouha Dziri, Ximing Lu, Melanie Sclar, et al.2023 · 313 citations
- MEDITRON-70B: Scaling Medical Pretraining for Large Language ModelsZeming Chen, Alejandro Hernandez Cano, Angelika Romanou, et al.2023 · 311 citations
- TIES-Merging: Resolving Interference When Merging ModelsPrateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 308 citations
- Discovering Language Model Behaviors with Model-Written EvaluationsEthan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 307 citations
- How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesYizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.2023 · 304 citations
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