Works of Conference on Neural Information Processing Systems (NeurIPS)
- Large language models are zero-shot reasonersTakeshi Kojima, Shixiang Shane Gu, Machel Reid, et al.2022 · 3,780 citations
- Reflexion: Language Agents with Verbal Reinforcement LearningNoah Shinn, Federico Cassano, Edward Berman, et al.2023 · 2,202 citations
- Reading Tea Leaves: How Humans Interpret Topic ModelsJonathan Chang, Jordan Boyd-Graber, Sean Gerrish, et al.2009 · 2,037 citations
- Toolformer: Language Models Can Teach Themselves to Use ToolsTimo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al.2023 · 2,020 citations
- Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringMichael Defferrard, Xavier Bresson, Pierre Vandergheynst2016 · 1,797 citations
- wav2vec 2.0: A Framework for Self-Supervised Learning of Speech RepresentationsAlexei Baevski, Henry Zhou, Abdelrahman Mohamed, et al.2020 · 1,355 citations
- Big Bird: Transformers for Longer SequencesManzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.2020 · 992 citations
- Solving Quantitative Reasoning Problems with Language ModelsAitor Lewkowycz, Anders Andreassen, David Dohan, et al.2022 · 973 citations
- STaR: Bootstrapping Reasoning With ReasoningEric Zelikman, Yuhuai Wu, Jesse Mu, et al.2022 · 743 citations
- HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging FaceYongliang Shen, Kaitao Song, Xu Tan, et al.2023 · 737 citations
- Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningHaokun Liu, Derek Tam, Mohammed Muqeeth, et al.2022 · 735 citations
- MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding BenchmarkYubo Wang, Xueguang Ma, Ge Zhang, et al.2024 · 731 citations
- SGLang: Efficient Execution of Structured Language Model ProgramsLianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.2023 · 710 citations
- CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyGuohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al.2023 · 689 citations
- LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One DayChunyuan Li, Cliff Wong, Sheng Zhang, et al.2023 · 676 citations
- Jailbroken: How Does LLM Safety Training Fail?Alexander Wei, Nika Haghtalab, Jacob Steinhardt2023 · 659 citations
- Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code GenerationJiawei Liu, Chunqiu Steven Xia, Yuyao Wang, et al.2023 · 632 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
- MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language ModelsChaoyou Fu, Peixian Chen, Yunhang Shen, et al.2023 · 529 citations
- Gorilla: Large Language Model Connected with Massive APIsShishir G. Patil, Tianjun Zhang, Xin Wang, et al.2023 · 527 citations
- SWE-agent: Agent-Computer Interfaces Enable Automated Software EngineeringJohn Yang, Carlos E. Jimenez, Alexander Wettig, et al.2024 · 507 citations
- Inference-Time Intervention: Eliciting Truthful Answers from a Language ModelKenneth Li, Oam Patel, Fernanda Viegas, et al.2023 · 473 citations
- LLM-Pruner: On the Structural Pruning of Large Language ModelsXinyin Ma, Gongfan Fang, Xinchao Wang2023 · 447 citations
- Mathematical Capabilities of ChatGPTSimon Frieder, Luca Pinchetti, Alexis Chevalier, et al.2023 · 443 citations
- AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackYann Dubois, Xuechen Li, Rohan Taori, et al.2023 · 423 citations
- Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLsJinyang Li, Binyuan Hui, Ge Qu, et al.2023 · 419 citations
- The FineWeb Datasets: Decanting the Web for the Finest Text Data at ScaleGuilherme Penedo, Hynek Kydlíček, Loubna Ben allal, et al.2024 · 404 citations
- DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-CorrectionMohammadreza Pourreza, Davood Rafiei2023 · 397 citations
- WebShop: Towards Scalable Real-World Web Interaction with Grounded Language AgentsShunyu Yao, Howard Chen, John Yang, et al.2022 · 387 citations
- Mind2Web: Towards a Generalist Agent for the WebXiang Deng, Yu Gu, Boyuan Zheng, et al.2023 · 376 citations
- CogVLM: Visual Expert for Pretrained Language ModelsWeihan Wang, Qingsong Lv, Wenmeng Yu, et al.2023 · 373 citations
- BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference DatasetJiaming Ji, Mickel Liu, Juntao Dai, et al.2023 · 351 citations
- SnapKV: LLM Knows What You are Looking for Before GenerationYuhong Li, Yingbing Huang, Bowen Yang, et al.2024 · 350 citations
- Are Emergent Abilities of Large Language Models a Mirage?Rylan Schaeffer, Brando Miranda, Sanmi Koyejo2023 · 323 citations
- Language Is Not All You Need: Aligning Perception with Language ModelsShaohan Huang, Li Dong, Wenhui Wang, et al.2023 · 319 citations
- Faith and Fate: Limits of Transformers on CompositionalityNouha Dziri, Ximing Lu, Melanie Sclar, et al.2023 · 313 citations
- Chameleon: Plug-and-Play Compositional Reasoning with Large Language ModelsPan Lu, Baolin Peng, Hao Cheng, et al.2023 · 311 citations
- TIES-Merging: Resolving Interference When Merging ModelsPrateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 306 citations
- Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseKalpesh Krishna, Yixiao Song, Marzena Karpinska, et al.2023 · 304 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
- ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale TransformersZhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, et al.2022 · 301 citations
- KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache QuantizationColeman Hooper, Sehoon Kim, Hiva Mohammadzadeh, et al.2024 · 293 citations
- CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement LearningHung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.2022 · 290 citations
- JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language ModelsPatrick Chao, Edoardo Debenedetti, Alexander Robey, et al.2024 · 273 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
- Reasoning With Neural Tensor Networks for Knowledge Base CompletionRichard Socher, Danqi Chen, Christopher D. Manning, et al.2013 · 254 citations
- QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMsSaleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci, et al.2024 · 252 citations
- LeanDojo: Theorem Proving with Retrieval-Augmented Language ModelsKaiyu Yang, Aidan M. Swope, Alex Gu, et al.2023 · 248 citations
- RedPajama: an Open Dataset for Training Large Language ModelsMaurice Weber, Daniel Fu, Quentin Anthony, et al.2024 · 247 citations
- DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsBoxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 246 citations
- Tree of Attacks: Jailbreaking Black-Box LLMs AutomaticallyAnay Mehrotra, Manolis Zampetakis, Paul Kassianik, et al.2023 · 245 citations
- Language Models can Solve Computer TasksGeunwoo Kim, Pierre Baldi, Stephen McAleer2023 · 239 citations
- G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question AnsweringXiaoxin He, Yijun Tian, Yifei Sun, et al.2024 · 234 citations
- Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human SupervisionZhiqing Sun, Yikang Shen, Qinhong Zhou, et al.2023 · 232 citations
- OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer EnvironmentsTianbao Xie, Danyang Zhang, Jixuan Chen, et al.2024 · 228 citations
- Beyond neural scaling laws: beating power law scaling via data pruningBen Sorscher, Robert Geirhos, Shashank Shekhar, et al.2022 · 220 citations
- Transformer Memory as a Differentiable Search IndexYi Tay, Vinh Q. Tran, Mostafa Dehghani, et al.2022 · 220 citations
- MADLAD-400: A Multilingual And Document-Level Large Audited DatasetSneha Kudugunta, Isaac Caswell, Biao Zhang, et al.2023 · 211 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
- Measuring Multimodal Mathematical Reasoning with MATH-Vision DatasetKe Wang, Junting Pan, Weikang Shi, et al.2024 · 198 citations
- Large Language Model as Attributed Training Data Generator: A Tale of Diversity and BiasYue Yu, Yuchen Zhuang, Jieyu Zhang, 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
- The Unreliability of Explanations in Few-shot Prompting for Textual ReasoningXi Ye, Greg Durrett2022 · 196 citations
- What matters when building vision-language models?Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 195 citations
- Merging Models with Fisher-Weighted AveragingMichael Matena, Colin Raffel2021 · 190 citations
- OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsHugo Laurençon, Lucile Saulnier, Leo Tronchon, 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
- ToolQA: A Dataset for LLM Question Answering with External ToolsYuchen Zhuang, Yue Yu, Kuan Wang, et al.2023 · 177 citations
- RealTime QA: What's the Answer Right Now?Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, et al.2022 · 176 citations
- Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsShengbang Tong, Ellis Brown, Penghao Wu, et al.2024 · 173 citations
- A-MEM: Agentic Memory for LLM AgentsWujiang Xu, Zujie Liang, Kai Mei, et al.2025 · 171 citations
- Learning to Compress Prompts with Gist TokensJesse Mu, Xiang Lisa Li, Noah Goodman2023 · 170 citations
- Large Language Model UnlearningYuanshun Yao, Xiaojun Xu, Yang Liu2023 · 165 citations
- Large Language Diffusion ModelsShen Nie, Fengqi Zhu, Zebin You, et al.2025 · 164 citations
- Quark: Controllable Text Generation with Reinforced UnlearningXiming Lu, Sean Welleck, Jack Hessel, et al.2022 · 164 citations
- Long-form factuality in large language modelsJerry Wei, Chengrun Yang, Xinying Song, et al.2024 · 162 citations
- CultureLLM: Incorporating Cultural Differences into Large Language ModelsCheng Li, Mengzhou Chen, Jindong Wang, et al.2024 · 160 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
- WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMsSeungju Han, Kavel Rao, Allyson Ettinger, et al.2024 · 155 citations
- HyperTree Proof Search for Neural Theorem ProvingGuillaume Lample, Marie-Anne Lachaux, Thibaut Lavril, 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
- Self-Evaluation Guided Beam Search for ReasoningYuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.2023 · 145 citations
- Iterative Reasoning Preference OptimizationRichard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, et al.2024 · 144 citations
- Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM ReasoningShenzhi Wang, Le Yu, Chang Gao, et al.2025 · 142 citations
- ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsShibo Hao, Tianyang Liu, Zhen Wang, et al.2023 · 142 citations
- How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language modelMichael Hanna, Ollie Liu, Alexandre Variengien2023 · 140 citations
- Many-Shot In-Context LearningRishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 134 citations
- Simple and Effective Masked Diffusion Language ModelsSubham Sekhar Sahoo, Marianne Arriola, Yair Schiff, et al.2024 · 134 citations
- Deductive Verification of Chain-of-Thought ReasoningZhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 128 citations
- InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryChaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 125 citations
- Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base ModelJingcheng Hu, Yinmin Zhang, Qi Han, et al.2025 · 121 citations
- AlphaMath Almost Zero: Process Supervision without ProcessGuoxin Chen, Minpeng Liao, Chengxi Li, et al.2024 · 119 citations
- MAmmoTH2: Scaling Instructions from the WebXiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 94 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
- Alignment at Pre-training! Towards Native Alignment for Arabic LLMsJuhao Liang, Zhenyang Cai, Jianqing Zhu, et al.2024 · 14 citations
- Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsTomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 14 citations
- A Multi-Task Benchmark for Abusive Language Detection in Low-Resource SettingsFitsum Gaim, Hoyun Song, Huije Lee, et al.2025 · 3 citations
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