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Chunyuan Li

Identifiers

  • name variant Chunyuan Li 0.60 · backfill

Papers (125)

  1. LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence cs.CV · 2026 · author #21
  2. LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training cs.CV · 2025 · author #13
  3. LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model cs.CV · 2025 · author #2
  4. Seed1.5-VL Technical Report cs.CV · 2025 · author #64
  5. Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning cs.CV · 2025 · author #4
  6. LLaVA-Video: Video Instruction Tuning With Synthetic Data cs.CV · 2024 · author #7
  7. LLaVA-Critic: Learning to Evaluate Multimodal Models cs.CV · 2024 · author #8
  8. MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines cs.CV · 2024 · author #13
  9. SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners cs.CV · 2024 · author #6
  10. LLaVA-OneVision: Easy Visual Task Transfer cs.CV · 2024 · author #11
  11. LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models cs.CL · 2024 · author #10
  12. MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine cs.CV · 2024 · author #13
  13. LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models cs.CV · 2024 · author #8
  14. Long Context Transfer from Language to Vision cs.CV · 2024 · author #9
  15. Beyond Raw Videos: Understanding Edited Videos with Large Multimodal Model cs.CV · 2024 · author #3
  16. MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding cs.CV · 2024 · author #15
  17. Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment cs.CV · 2024 · author #4
  18. Graphic Design with Large Multimodal Model cs.CV · 2024 · author #5
  19. Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward cs.CV · 2024 · author #8
  20. Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation cs.CL · 2024 · author #15
  21. TrustLLM: Trustworthiness in Large Language Models cs.CL · 2024 · author #20
  22. LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models cs.CV · 2023 · author #10
  23. Visual In-Context Prompting cs.CV · 2023 · author #9
  24. LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents cs.CV · 2023 · author #13
  25. Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images cs.CV · 2023 · author #3
  26. LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing cs.CV · 2023 · author #5
  27. Large Language Models are Visual Reasoning Coordinators cs.CV · 2023 · author #5
  28. Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V cs.CV · 2023 · author #5
  29. BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys cs.CV · 2023 · author #4
  30. Improved Baselines with Visual Instruction Tuning cs.CV · 2023 · author #2
  31. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts cs.CV · 2023 · author #5
  32. HallE-Control: Controlling Object Hallucination in Large Multimodal Models cs.CV · 2023 · author #6
  33. Aligning Large Multimodal Models with Factually Augmented RLHF cs.CV · 2023 · author #5
  34. Multimodal Foundation Models: From Specialists to General-Purpose Assistants cs.CV · 2023 · author #1
  35. An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models cs.CV · 2023 · author #2
  36. Benchmarking and Analyzing Generative Data for Visual Recognition cs.CV · 2023 · author #5
  37. Semantic-SAM: Segment and Recognize Anything at Any Granularity cs.CV · 2023 · author #7
  38. Large Multimodal Models: Notes on CVPR 2023 Tutorial cs.CV · 2023 · author #1
  39. MIMIC-IT: Multi-Modal In-Context Instruction Tuning cs.CV · 2023 · author #7
  40. LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day cs.CV · 2023 · author #1
  41. OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models cs.CV · 2023 · author #6
  42. Towards Building the Federated GPT: Federated Instruction Tuning cs.CL · 2023 · author #4
  43. Visual Instruction Tuning cs.CV · 2023 · author #2
  44. Instruction Tuning with GPT-4 cs.CL · 2023 · author #2
  45. A Simple Framework for Open-Vocabulary Segmentation and Detection cs.CV · 2023 · author #5
  46. Scaling Vision-Language Models with Sparse Mixture of Experts cs.CV · 2023 · author #3
  47. Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection cs.CV · 2023 · author #8
  48. Learning Customized Visual Models with Retrieval-Augmented Knowledge cs.CV · 2023 · author #7
  49. GLIGEN: Open-Set Grounded Text-to-Image Generation cs.CV · 2023 · author #7
  50. Generalized Decoding for Pixel, Image, and Language cs.CV · 2022 · author #6
  51. Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics cs.CV · 2022 · author #1
  52. Lafite2: Few-shot Text-to-Image Generation cs.CV · 2022 · author #2
  53. Vision-Language Pre-training: Basics, Recent Advances, and Future Trends cs.CV · 2022 · author #3
  54. STT: Soft Template Tuning for Few-Shot Adaptation cs.CL · 2022 · author #3
  55. K-LITE: Learning Transferable Visual Models with External Knowledge cs.CV · 2022 · author #2
  56. ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models cs.CV · 2022 · author #1
  57. Unified Contrastive Learning in Image-Text-Label Space cs.CV · 2022 · author #2
  58. Parameter-efficient Model Adaptation for Vision Transformers cs.CV · 2022 · author #2
  59. Focal Modulation Networks cs.CV · 2022 · author #2
  60. RegionCLIP: Region-based Language-Image Pretraining cs.CV · 2021 · author #4
  61. Grounded Language-Image Pre-training cs.CV · 2021 · author #5
  62. A Generic Approach for Enhancing GANs by Regularized Latent Optimization cs.LG · 2021 · author #2
  63. LAFITE: Towards Language-Free Training for Text-to-Image Generation cs.CV · 2021 · author #4
  64. Florence: A New Foundation Model for Computer Vision cs.CV · 2021 · author #10
  65. SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching cs.CL · 2021 · author #2
  66. Focal Self-attention for Local-Global Interactions in Vision Transformers cs.CV · 2021 · author #2
  67. Efficient Self-supervised Vision Transformers for Representation Learning cs.CV · 2021 · author #1
  68. Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation cs.CV · 2021 · author #2
  69. Contrastive Attraction and Contrastive Repulsion for Representation Learning cs.LG · 2021 · author #5
  70. Partition-Guided GANs cs.LG · 2021 · author #3
  71. Leveraging User Behavior History for Personalized Email Search cs.IR · 2021 · author #3
  72. SDA: Improving Text Generation with Self Data Augmentation cs.CL · 2021 · author #5
  73. Few-Shot Named Entity Recognition: A Comprehensive Study cs.CL · 2020 · author #2
  74. RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems cs.CL · 2020 · author #2
  75. Self-supervised Pre-training with Hard Examples Improves Visual Representations cs.CV · 2020 · author #1
  76. Hierarchical Graph Capsule Network cs.LG · 2020 · author #5
  77. ReMP: Rectified Metric Propagation for Few-Shot Learning cs.CV · 2020 · author #2
  78. Improving Text Generation with Student-Forcing Optimal Transport cs.CL · 2020 · author #2
  79. Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference cs.LG · 2020 · author #4
  80. Robust Conversational AI with Grounded Text Generation cs.AI · 2020 · author #3
  81. Weakly supervised cross-domain alignment with optimal transport cs.CV · 2020 · author #6
  82. Structure-Aware Human-Action Generation cs.GR · 2020 · author #3
  83. SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching cs.CL · 2020 · author #2
  84. POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training cs.CL · 2020 · author #3
  85. Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks cs.CV · 2020 · author #3
  86. Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space cs.CL · 2020 · author #1
  87. Feature Quantization Improves GAN Training cs.LG · 2020 · author #2
  88. Multi-View Learning for Vision-and-Language Navigation cs.CL · 2020 · author #3
  89. Survival Cluster Analysis stat.ML · 2020 · author #2
  90. Few-shot Natural Language Generation for Task-Oriented Dialog cs.CL · 2020 · author #3
  91. Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training cs.CV · 2020 · author #2
  92. Straight-Through Estimator as Projected Wasserstein Gradient Flow cs.LG · 2019 · author #3
  93. Robust Navigation with Language Pretraining and Stochastic Sampling cs.CL · 2019 · author #2
  94. Implicit Deep Latent Variable Models for Text Generation cs.LG · 2019 · author #2
  95. Twin Auxiliary Classifiers GAN cs.LG · 2019 · author #3
  96. DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain cs.CL · 2019 · author #3
  97. Towards Amortized Ranking-Critical Training for Collaborative Filtering cs.LG · 2019 · author #2
  98. Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing cs.LG · 2019 · author #2
  99. Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning cs.LG · 2019 · author #2
  100. Adversarial Learning of a Sampler Based on an Unnormalized Distribution cs.LG · 2019 · author #1
  101. Generative Adversarial Network Training is a Continual Learning Problem stat.ML · 2018 · author #2
  102. Car-following behavior of connected vehicles in a mixed traffic flow: modeling and stability analysis cs.SY · 2018 · author #2
  103. Policy Optimization as Wasserstein Gradient Flows cs.LG · 2018 · author #3
  104. Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms cs.CL · 2018 · author #7
  105. Joint Embedding of Words and Labels for Text Classification cs.CL · 2018 · author #2
  106. Measuring the Intrinsic Dimension of Objective Landscapes cs.LG · 2018 · author #1
  107. Adversarial Time-to-Event Modeling stat.ML · 2018 · author #3
  108. Learning Structural Weight Uncertainty for Sequential Decision-Making stat.ML · 2017 · author #2
  109. Adversarial Symmetric Variational Autoencoder cs.LG · 2017 · author #6
  110. Triangle Generative Adversarial Networks cs.LG · 2017 · author #7
  111. Symmetric Variational Autoencoder and Connections to Adversarial Learning stat.ML · 2017 · author #4
  112. ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching stat.ML · 2017 · author #1
  113. Continuous-Time Flows for Efficient Inference and Density Estimation stat.ML · 2017 · author #2
  114. VAE Learning via Stein Variational Gradient Descent cs.LG · 2017 · author #4
  115. Seeds Cleansing CNMF for Spatiotemporal Neural Signals Extraction of Miniscope Imaging Data q-bio.NC · 2017 · author #2
  116. Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling cs.CL · 2016 · author #2
  117. Learning Generic Sentence Representations Using Convolutional Neural Networks cs.CL · 2016 · author #4
  118. Unsupervised Learning with Truncated Gaussian Graphical Models stat.ML · 2016 · author #3
  119. Stochastic Gradient MCMC with Stale Gradients stat.ML · 2016 · author #3
  120. Variational Autoencoder for Deep Learning of Images, Labels and Captions stat.ML · 2016 · author #5
  121. Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization stat.ML · 2015 · author #4
  122. Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks stat.ML · 2015 · author #1
  123. High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models stat.ML · 2015 · author #1
  124. A Deep Generative Deconvolutional Image Model cs.CV · 2015 · author #4
  125. Deep Temporal Sigmoid Belief Networks for Sequence Modeling stat.ML · 2015 · author #2

Mentions

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