Who cites Timothy Lillicrap
- Graph Attention NetworksPetar Veličkovic, Guillem Cucurull, Arantxa Casanova, et al.2017 · 8,996 citations
- A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,221 citations
- On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,044 citations
- A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
- Relational inductive biases, deep learning, and graph networksPeter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,285 citations
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language ModelsZhihong Shao, Peiyi Wang, Qihao Zhu, et al.2024 · 2,013 citations
- Longformer: The Long-Document TransformerIz Beltagy, Matthew E. Peters, Arman Cohan2020 · 1,737 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,695 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
- Efficient Transformers: A SurveyYi Tay, Mostafa Dehghani, Dara Bahri, et al.2020 · 1,513 citations
- VisualBERT: A Simple and Performant Baseline for Vision and LanguageLiunian Harold Li, Mark Yatskar, Da Yin, et al.2019 · 1,510 citations
- A Comprehensive Overview of Large Language ModelsHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
- Recipes for Building an Open-Domain ChatbotStephen Roller, Emily Dinan, Naman Goyal, et al.2021 · 1,206 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
- Training Compute-Optimal Large Language ModelsJordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, et al.2022 · 1,110 citations
- Graph Convolution over Pruned Dependency Trees Improves Relation ExtractionYuhao Zhang, Peng Qi, Christopher D. Manning2018 · 1,046 citations
- Big Bird: Transformers for Longer SequencesManzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.2020 · 992 citations
- Qwen2.5-VL Technical ReportShuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 948 citations
- MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIXiang Yue, Yuansheng Ni, Kai Zhang, et al.2023 · 948 citations
- MMBench: Is Your Multi-modal Model an All-around Player?Yuan Liu, Haodong Duan, Yuanhan Zhang, et al.2023 · 907 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic CapabilitiesGheorghe Comanici, Eric Bieber, Mike Schaekermann, et al.2025 · 906 citations
- Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionPeng Wang, Shuai Bai, Sinan Tan, et al.2024 · 819 citations
- GPT-NeoX-20B: An Open-Source Autoregressive Language ModelSidney Black, Stella Biderman, Eric Hallahan, et al.2022 · 818 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
- ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All ToolsTeam GLM, Aohan Zeng, Bin Xu, et al.2024 · 687 citations
- Efficient Content-Based Sparse Attention with Routing TransformersAurko Roy, Mohammad Saffar, Ashish Vaswani, et al.2020 · 660 citations
- A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)Alane Suhr, Stephanie Zhou, Ally Zhang, et al.2019 · 640 citations
- BloombergGPT: A Large Language Model for FinanceShijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 608 citations
- Attention Guided Graph Convolutional Networks for Relation ExtractionZhijiang Guo, Yan Zhang, Wei Lu2019 · 597 citations
- How Powerful are Graph Neural Networks?Keyulu Xu, Weihua Hu, Jure Leskovec, et al.2018 · 591 citations
- LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodeNaman Jain, King Han, Alex Gu, et al.2024 · 540 citations
- Jailbreaking Black Box Large Language Models in Twenty QueriesPatrick Chao, Alexander Robey, Edgar Dobriban, et al.2023 · 533 citations
- How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source SuitesZhe Chen, Weiyun Wang, Hao Tian, et al.2024 · 529 citations
- Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model ParametersCharlie Snell, Jaehoon Lee, Kelvin Xu, et al.2024 · 524 citations
- LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingYushi Bai, Xin Lv, Jiajie Zhang, et al.2023 · 505 citations
- OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific ProblemsChaoqun He, Renjie Luo, Yuzhuo Bai, et al.2024 · 448 citations
- FinGPT: Open-Source Financial Large Language ModelsHongyang Yang, Xiao-Yang Liu, Christina Dan Wang2023 · 445 citations
- MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsPan Lu, Hritik Bansal, Tony Xia, et al.2023 · 441 citations
- LLaVA-OneVision: Easy Visual Task TransferBo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 440 citations
- The Falcon Series of Open Language ModelsEbtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 436 citations
- Kimi k1.5: Scaling Reinforcement Learning with LLMsKimi Team, Angang Du, Bofei Gao, et al.2025 · 413 citations
- BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsYanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.2024 · 406 citations
- Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video AnalysisChaoyou Fu, Yuhan Dai, Yongdong Luo, et al.2024 · 403 citations
- Yi: Open Foundation Models by 01.AIAlex Young, Bei Chen, Chao Li, et al.2024 · 402 citations
- RULER: What's the Real Context Size of Your Long-Context Language Models?Cheng-Ping Hsieh, Simeng Sun, Samuel Kriman, et al.2024 · 386 citations
- Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingNathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 379 citations
- ETC: Encoding Long and Structured Inputs in TransformersJoshua Ainslie, Santiago Ontañón, Chris Alberti, et al.2020 · 377 citations
- VILA: On Pre-training for Visual Language ModelsJi Lin, Hongxu Yin, Wei Ping, et al.2023 · 367 citations
- A Survey on Large Language Models for Code GenerationJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 366 citations
- WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-InstructHaipeng Luo, Qingfeng Sun, Can Xu, et al.2023 · 366 citations
- The AI Scientist: Towards Fully Automated Open-Ended Scientific DiscoveryChris Lu, Cong Lu, Robert Tjarko Lange, et al.2024 · 362 citations
- SnapKV: LLM Knows What You are Looking for Before GenerationYuhong Li, Yingbing Huang, Bowen Yang, et al.2024 · 350 citations
- FiLM: Visual Reasoning with a General Conditioning LayerEthan Perez, Florian Strub, Harm de Vries, et al.2017 · 348 citations
- Qwen3-VL Technical ReportShuai Bai, Yuxuan Cai, Ruizhe Chen, et al.2025 · 330 citations
- HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language ModelsTianrui Guan, Fuxiao Liu, Xiyang Wu, et al.2023 · 326 citations
- Language Is Not All You Need: Aligning Perception with Language ModelsShaohan Huang, Li Dong, Wenhui Wang, et al.2023 · 319 citations
- HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalMantas Mazeika, Long Phan, Xuwang Yin, et al.2024 · 312 citations
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningBowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 303 citations
- The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)Zhengyuan Yang, Linjie Li, Kevin Lin, et al.2023 · 303 citations
- OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 297 citations
- Multimodal Chain-of-Thought Reasoning in Language ModelsZhuosheng Zhang, Aston Zhang, Mu Li, et al.2023 · 296 citations
- Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question AnsweringYanlin Feng, Xinyue Chen, Bill Yuchen Lin, et al.2020 · 295 citations
- Can language models learn from explanations in context?Andrew Lampinen, Ishita Dasgupta, Stephanie Chan, et al.2022 · 288 citations
- Analysing Mathematical Reasoning Abilities of Neural ModelsDavid Saxton, Edward Grefenstette, Felix Hill, et al.2019 · 282 citations
- An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language ModelsLiang Chen, Haozhe Zhao, Tianyu Liu, et al.2024 · 276 citations
- Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingZhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 276 citations
- MiniCPM-V: A GPT-4V Level MLLM on Your PhoneYuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 267 citations
- LongLoRA: Efficient Fine-tuning of Long-Context Large Language ModelsYukang Chen, Shengju Qian, Haotian Tang, et al.2023 · 265 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
- 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
- KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV CacheZirui Liu, Jiayi Yuan, Hongye Jin, et al.2024 · 243 citations
- Perceiver: General Perception with Iterative AttentionAndrew Jaegle, Felix Gimeno, Andrew Brock, et al.2021 · 238 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
- Qwen2-Audio Technical ReportYunfei Chu, Jin Xu, Qian Yang, et al.2024 · 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
- 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
- NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsChankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 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
- Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language ModelsMosh Levy, Alon Jacoby, Yoav Goldberg2024 · 212 citations
- DeepSeek-VL: Towards Real-World Vision-Language UnderstandingHaoyu Lu, Wen Liu, Bo Zhang, et al.2024 · 201 citations
- Measuring Multimodal Mathematical Reasoning with MATH-Vision DatasetKe Wang, Junting Pan, Weikang Shi, et al.2024 · 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
- Quest: Query-Aware Sparsity for Efficient Long-Context LLM InferenceJiaming Tang, Yilong Zhao, Kan Zhu, 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
- 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
- LLM in a flash: Efficient Large Language Model Inference with Limited MemoryKeivan Alizadeh, Seyed Iman Mirzadeh, Dmitry Belenko, et al.2024 · 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
- OpenHands: An Open Platform for AI Software Developers as Generalist AgentsXingyao Wang, Boxuan Li, Yufan Song, et al.2024 · 190 citations
- The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesSander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 187 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
- Aya Expanse: Combining Research Breakthroughs for a New Multilingual FrontierJohn Dang, Shivalika Singh, Daniel D'souza, et al.2024 · 180 citations
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