Elamur Research⌕
☰
home / authors / Joan Puigcerver / cited by

Who cites Joan Puigcerver

602 citations of their works from 556 papers of our library (of the 149,439 whose bibliographies we read) · 108 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Joan Puigcerver

1 2

  1. Qwen3 Technical ReportarXiv:2505.09388An Yang, Anfeng Li, Baosong Yang, et al.2025 · 3,382 citations
  2. Gemini: A Family of Highly Capable Multimodal ModelsarXiv:2312.11805Gemini Team, Rohan Anil, Sebastian Borgeaud, et al.2023 · 3,050 citations
  3. BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language ModelsarXiv:2301.12597Junnan Li, Dongxu Li, Silvio Savarese, et al.2023 · 2,219 citations
  4. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextarXiv:2403.05530Gemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,589 citations
  5. Vision-Language Models for Vision Tasks: A SurveyIEEE Transactions on Pattern Analysis and Machine IntelligenceJingyi Zhang, Jiaxing Huang, Sheng Jin, et al.2023 · 1,047 citations
  6. Qwen2.5-VL Technical ReportarXiv:2502.13923Shuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 1,031 citations
  7. GQA: Training Generalized Multi-Query Transformer Models from Multi-Head CheckpointsConference on Empirical Methods in Natural Language Processing (EMNLP)Joshua Ainslie, James Lee-Thorp, Michiel de Jong, et al.2023 · 1,026 citations
  8. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic CapabilitiesarXiv:2507.06261Gheorghe Comanici, Eric Bieber, Mike Schaekermann, et al.2025 · 974 citations
  9. Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and BeyondarXiv:2308.12966Jinze Bai, Shuai Bai, Shusheng Yang, et al.2023 · 970 citations
  10. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondACM Transactions on Knowledge Discovery from DataJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 814 citations
  11. Reproducible scaling laws for contrastive language-image learningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMehdi Cherti, Romain Beaumont, Ross Wightman, et al.2022 · 769 citations
  12. Crosslingual Generalization through Multitask FinetuningarXiv:2211.01786Niklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 703 citations
  13. LLaVA-OneVision: Easy Visual Task TransferarXiv:2408.03326Bo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 477 citations
  14. InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksarXiv:2312.14238Zhe Chen, Jiannan Wu, Wenhai Wang, et al.2023 · 435 citations
  15. CogVLM: Visual Expert for Pretrained Language ModelsConference on Neural Information Processing Systems (NeurIPS)Weihan Wang, Qingsong Lv, Wenmeng Yu, et al.2023 · 383 citations
  16. PaLI: A Jointly-Scaled Multilingual Language-Image ModelarXiv:2209.06794Xi Chen, Xiao Wang, Soravit Changpinyo, et al.2022 · 371 citations
  17. Kimi K2: Open Agentic IntelligencearXiv:2507.20534Kimi Team, Yifan Bai, Yiping Bao, et al.2025 · 347 citations
  18. Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive DecodingIEEE Computer Society Conference on Computer Vision and Pattern RecognitionSicong Leng, Hang Zhang, Guanzheng Chen, et al.2023 · 322 citations
  19. MM-LLMs: Recent Advances in MultiModal Large Language ModelsFindings of the Association for Computational LinguisticsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 320 citations
  20. OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsScience China Information SciencesYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 306 citations
  21. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingarXiv:2412.05271Zhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 287 citations
  22. MiniCPM-V: A GPT-4V Level MLLM on Your PhonearXiv:2408.01800Yuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 269 citations
  23. MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training StrategiesarXiv:2404.06395Shengding Hu, Yuge Tu, Xu Han, et al.2024 · 269 citations
  24. InternVideo2: Scaling Foundation Models for Multimodal Video UnderstandingLecture notes in computer scienceYi Wang, Kunchang Li, Xinhao Li, et al.2024 · 253 citations
  25. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyarXiv:2403.14608Zeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 240 citations
  26. DataComp: In search of the next generation of multimodal datasetsConference on Neural Information Processing Systems (NeurIPS)Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, et al.2023 · 224 citations
  27. RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human FeedbackIEEE Computer Society Conference on Computer Vision and Pattern RecognitionTianyu Yu, Yuan Yao, Haoye Zhang, et al.2023 · 217 citations
  28. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMatt Deitke, Christopher Clark, Sangho Lee, et al.2024 · 216 citations
  29. What matters when building vision-language models?Conference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 212 citations
  30. Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsConference on Neural Information Processing Systems (NeurIPS)Shengbang Tong, Ellis Brown, Penghao Wu, et al.2024 · 208 citations
  31. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsConference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 197 citations
  32. MM-REACT: Prompting ChatGPT for Multimodal Reasoning and ActionarXiv:2303.11381Zhengyuan Yang, Linjie Li, Jianfeng Wang, et al.2023 · 196 citations
  33. DataComp-LM: In search of the next generation of training sets for language modelsConference on Neural Information Processing Systems (NeurIPS)Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 191 citations
  34. Aligning Large Multimodal Models with Factually Augmented RLHFarXiv:2309.14525Zhiqing Sun, Sheng Shen, Shengcao Cao, et al.2023 · 176 citations
  35. On the Robustness of ChatGPT: An Adversarial and Out-of-distribution PerspectivearXiv:2302.12095Jindong Wang, Xixu Hu, Wenxin Hou, et al.2023 · 176 citations
  36. AudioPaLM: A Large Language Model That Can Speak and ListenarXiv:2306.12925Paul K. Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen, et al.2023 · 171 citations
  37. Capabilities of Gemini Models in MedicinearXiv:2404.18416Khaled Saab, Tao Tu, Wei-Hung Weng, et al.2024 · 170 citations
  38. Tutel: Adaptive Mixture-of-Experts at ScaleMLSys 2023Changho Hwang, Wei Cui, Yifan Xiong, et al.2022 · 168 citations
  39. Chameleon: Mixed-Modal Early-Fusion Foundation ModelsarXiv:2405.09818Chameleon Team2024 · 159 citations
  40. Pix2Struct: Screenshot Parsing as Pretraining for Visual Language UnderstandingarXiv:2210.03347Kenton Lee, Mandar Joshi, Iulia Turc, et al.2022 · 158 citations
  41. MedGemma Technical ReportarXiv:2507.05201Andrew Sellergren, Sahar Kazemzadeh, Tiam Jaroensri, et al.2025 · 150 citations
  42. PaliGemma: A versatile 3B VLM for transferarXiv:2407.07726Lucas Beyer, Andreas Steiner, Andre Susano Pinto, et al.2024 · 142 citations
  43. FAST: Efficient Action Tokenization for Vision-Language-Action ModelsarXiv:2501.09747Karl Pertsch, Kyle Stachowicz, Brian Ichter, et al.2025 · 123 citations
  44. LongNet: Scaling Transformers to 1,000,000,000 TokensarXiv:2307.02486Jiayu Ding, Shuming Ma, Li Dong, et al.2023 · 123 citations
  45. DePlot: One-shot visual language reasoning by plot-to-table translationFindings of the Association for Computational LinguisticsFangyu Liu, Julian Eisenschlos, Francesco Piccinno, et al.2023 · 122 citations
  46. CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMsConference on Neural Information Processing Systems (NeurIPS)Zirui Wang, Mengzhou Xia, Luxi He, et al.2024 · 119 citations
  47. Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought ReasoningConference on Neural Information Processing Systems (NeurIPS)Hao Shao, Shengju Qian, Han Xiao, et al.2024 · 117 citations
  48. A Survey on Efficient Inference for Large Language ModelsarXiv:2404.14294Zixuan Zhou, Xuefei Ning, Ke Hong, et al.2024 · 113 citations
  49. Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?Conference on Empirical Methods in Natural Language Processing (EMNLP)Yang Chen, Hexiang Hu, Yi Luan, et al.2023 · 111 citations
  50. Arcee's MergeKit: A Toolkit for Merging Large Language ModelsarXiv:2403.13257Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, et al.2024 · 105 citations
  51. Sparse Upcycling: Training Mixture-of-Experts from Dense CheckpointsarXiv:2212.05055Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp, et al.2022 · 98 citations
  52. ColPali: Efficient Document Retrieval with Vision Language ModelsarXiv:2407.01449Manuel Faysse, Hugues Sibille, Tony Wu, et al.2024 · 96 citations
  53. InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large ModelarXiv:2401.16420Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 94 citations
  54. Retrieval Head Mechanistically Explains Long-Context FactualityarXiv:2404.15574Wenhao Wu, Yizhong Wang, Guangxuan Xiao, et al.2024 · 94 citations
  55. LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style PluginAnnual Meeting of the Association for Computational Linguistics (ACL)Shihan Dou, Enyu Zhou, Yan Liu, et al.2024 · 93 citations
  56. Accelerating Distributed MoE Training and Inference with LinaarXiv:2210.17223Jiamin Li, Yimin Jiang, Yibo Zhu, et al.2022 · 92 citations
  57. Benchmarking Vision Language Models for Cultural UnderstandingConference on Empirical Methods in Natural Language Processing (EMNLP)Shravan Nayak, Kanishk Jain, Rabiul Awal, et al.2024 · 87 citations
  58. InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and CompositionarXiv:2309.15112Pan Zhang, Xiaoyi Dong, Bin Wang, et al.2023 · 87 citations
  59. LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-TrainingConference on Empirical Methods in Natural Language Processing (EMNLP)Tong Zhu, Xiaoye Qu, Daize Dong, et al.2024 · 85 citations
  60. SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-ScalingarXiv:2312.15166Dahyun Kim, Chanjun Park, Sanghoon Kim, et al.2023 · 77 citations
  61. Multilingual Large Language Model: A Survey of Resources, Taxonomy and FrontiersarXiv:2404.04925Libo Qin, Qiguang Chen, Yuhang Zhou, et al.2024 · 75 citations
  62. Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language ModelsarXiv:2305.14705Sheng Shen, Le Hou, Yanqi Zhou, et al.2023 · 70 citations
  63. Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction TuningarXiv:2309.05444Ted Zadouri, Ahmet Ustun, Arash Ahmadian, et al.2023 · 69 citations
  64. Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.2026 · 68 citations
  65. Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 67 citations
  66. FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel FusionarXiv:2406.06858Li-Wen Chang, Wenlei Bao, Qi Hou, et al.2024 · 67 citations
  67. Evaluation of OpenAI o1: Opportunities and Challenges of AGIarXiv:2409.18486Tianyang Zhong, Zhengliang Liu, Yi Pan, et al.2024 · 64 citations
  68. OpenMoE: An Early Effort on Open Mixture-of-Experts Language ModelsarXiv:2402.01739Fuzhao Xue, Zian Zheng, Yao Fu, et al.2024 · 64 citations
  69. MMICL: Empowering Vision-language Model with Multi-Modal In-Context LearningarXiv:2309.07915Haozhe Zhao, Zefan Cai, Shuzheng Si, et al.2023 · 58 citations
  70. InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HDConference on Neural Information Processing Systems (NeurIPS)Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 54 citations
  71. CogVLM2: Visual Language Models for Image and Video UnderstandingarXiv:2408.16500Wenyi Hong, Weihan Wang, Ming Ding, et al.2024 · 52 citations
  72. Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
  73. Stable LM 2 1.6B Technical ReportarXiv:2402.17834Marco Bellagente, Jonathan Tow, Dakota Mahan, et al.2024 · 46 citations
  74. NVLM: Open Frontier-Class Multimodal LLMsarXiv:2409.11402Wenliang Dai, Nayeon Lee, Boxin Wang, et al.2024 · 44 citations
  75. Large Multilingual Models Pivot Zero-Shot Multimodal Learning across LanguagesarXiv:2308.12038Jinyi Hu, Yuan Yao, Chongyi Wang, et al.2023 · 43 citations
  76. InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and OutputarXiv:2407.03320Pan Zhang, Xiaoyi Dong, Yuhang Zang, et al.2024 · 39 citations
  77. A Survey of Small Language ModelsarXiv:2410.20011Chien Van Nguyen, Xuan Shen, Ryan Aponte, et al.2024 · 31 citations
  78. Towards the Law of Capacity Gap in Distilling Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chen Zhang, Qiuchi Li, Dawei Song, et al.2025 · 27 citations
  79. Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective DecodingarXiv:2507.19427StepFun, Bin Wang, Bojun Wang, et al.2025 · 26 citations
  80. FuseChat: Knowledge Fusion of Chat ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Fanqi Wan, Longguang Zhong, Ziyi Yang, et al.2025 · 25 citations
  81. REAL-MM-RAG: A Real-World Multi-Modal Retrieval BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL)Navve Wasserman, Roi Pony, Oshri Naparstek, et al.2025 · 22 citations
  82. Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language ModelsarXiv:2406.06563Tianwen Wei, Bo Zhu, Liang Zhao, et al.2024 · 21 citations
  83. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsConference on Neural Information Processing Systems (NeurIPS)Tomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 19 citations
  84. Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language modelsarXiv:2405.02287Piotr Padlewski, Max Bain, Matthew Henderson, et al.2024 · 19 citations
  85. Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal ThinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Yilong Chen, Junyuan Shang, Zhenyu Zhang, et al.2025 · 16 citations
  86. JEEM: Vision-Language Understanding in Four Arabic DialectsFindings of the Association for Computational LinguisticsKarima Kadaoui, Hanin Atwany, Hamdan Al-Ali, et al.2026 · 11 citations
  87. Grounding Multilingual Multimodal LLMs With Cultural KnowledgeConference on Empirical Methods in Natural Language Processing (EMNLP)Jean De Dieu Nyandwi, Yueqi Song, Simran Khanuja, et al.2025 · 11 citations
  88. Centurio: On Drivers of Multilingual Ability of Large Vision-Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Gregor Geigle, Florian Schneider, Carolin Holtermann, et al.2025 · 9 citations
  89. Glyph: Scaling Context Windows via Visual-Text CompressionAnnual Meeting of the Association for Computational Linguistics (ACL)Jiale Cheng, Yusen Liu, Xinyu Zhang, et al.2026 · 6 citations
  90. PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Linhai Zhang, Jialong Wu, Deyu Zhou, et al.2025 · 6 citations
  91. POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yichen Xu, Liangyu Chen, Liang Zhang, et al.2026 · 2 citations
  92. TechING: Towards Real World Technical Image Understanding via VLMsFindings of the Association for Computational LinguisticsTafazzul Nadeem, Bhavik Shangari, Manish Rai, et al.2026 · 2 citations
  93. Analytical FFN-to-MoE Restructuring via Activation Pattern AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Zehua Pei, Hui-Ling Zhen, Lancheng Zou, et al.2026 · 1 citation
  94. Chart-RL: Generalized Chart Comprehension via Reinforcement Learning with Verifiable RewardsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraXin Zhang, Xingyu Li, Rongguang Wang, et al.2026 · 1 citation
  95. RotBench: Evaluating Multi-modal Large Language Models on Identifying Image RotationConference of the European Chapter of the Association for Computational Linguistics (EACL)Tianyi Niu, Jaemin Cho, Elias Stengel-Eskin, et al.2026 · 1 citation
  96. VisTW: Benchmarking Vision-Language Models for Taiwanese Mandarin in TaiwanFindings of the Association for Computational LinguisticsZhi Rui Tam, Yung-Yu Shih, Yen-Wei Lee, et al.2026 · 1 citation
  97. A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAMΔ Integration into Upcycled MoEAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Zhou, Tianhao Li, Zhijun Wang, et al.2026
  98. Annotation-Efficient Vision-Language Model Adaptation to the Polish Language Using the LLaVA FrameworkConference of the European Chapter of the Association for Computational Linguistics (EACL)Grzegorz Statkiewicz, Alicja Dobrzeniecka, Karolina Seweryn, et al.2026
  99. Bring the Apple, Not the Sofa: Impact of Irrelevant Context in Embodied AI Commands on VLA ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Andrey Moskalenko, Daria Pugacheva, Denis Shepelev, et al.2026
  100. Do Multi-Agents Solve Better Than Single? Evaluating Agentic Frameworks for Diagram-Grounded Geometry Problem Solving and ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Mahbub E Sobhani, Md. Faiyaz Abdullah Sayeedi, Mohammad Nehad Alam, et al.2026

1 2

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/joan-puigcerver/cited-by/