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Chunyuan Li

Identifiers

  • name variant Chunyuan Li 0.60 · backfill

Papers (47)

  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. Seed1.5-VL Technical Report cs.CV · 2025 · author #64
  4. LLaVA-Video: Video Instruction Tuning With Synthetic Data cs.CV · 2024 · author #7
  5. LLaVA-OneVision: Easy Visual Task Transfer cs.CV · 2024 · author #11
  6. LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models cs.CL · 2024 · author #10
  7. LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models cs.CV · 2024 · author #8
  8. Long Context Transfer from Language to Vision cs.CV · 2024 · author #9
  9. MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding cs.CV · 2024 · author #15
  10. TrustLLM: Trustworthiness in Large Language Models cs.CL · 2024 · author #20
  11. Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V cs.CV · 2023 · author #5
  12. Improved Baselines with Visual Instruction Tuning cs.CV · 2023 · author #2
  13. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts cs.CV · 2023 · author #5
  14. Aligning Large Multimodal Models with Factually Augmented RLHF cs.CV · 2023 · author #5
  15. LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day cs.CV · 2023 · author #1
  16. OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models cs.CV · 2023 · author #6
  17. Visual Instruction Tuning cs.CV · 2023 · author #2
  18. Instruction Tuning with GPT-4 cs.CL · 2023 · author #2
  19. Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection cs.CV · 2023 · author #8
  20. Florence: A New Foundation Model for Computer Vision cs.CV · 2021 · author #10
  21. DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain cs.CL · 2019 · author #3
  22. Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing cs.LG · 2019 · author #2
  23. Adversarial Learning of a Sampler Based on an Unnormalized Distribution cs.LG · 2019 · author #1
  24. Generative Adversarial Network Training is a Continual Learning Problem stat.ML · 2018 · author #2
  25. Car-following behavior of connected vehicles in a mixed traffic flow: modeling and stability analysis cs.SY · 2018 · author #2
  26. Policy Optimization as Wasserstein Gradient Flows cs.LG · 2018 · author #3
  27. Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms cs.CL · 2018 · author #7
  28. Joint Embedding of Words and Labels for Text Classification cs.CL · 2018 · author #2
  29. Measuring the Intrinsic Dimension of Objective Landscapes cs.LG · 2018 · author #1
  30. Learning Structural Weight Uncertainty for Sequential Decision-Making stat.ML · 2017 · author #2
  31. Adversarial Symmetric Variational Autoencoder cs.LG · 2017 · author #6
  32. Triangle Generative Adversarial Networks cs.LG · 2017 · author #7
  33. Symmetric Variational Autoencoder and Connections to Adversarial Learning stat.ML · 2017 · author #4
  34. ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching stat.ML · 2017 · author #1
  35. Continuous-Time Flows for Efficient Inference and Density Estimation stat.ML · 2017 · author #2
  36. VAE Learning via Stein Variational Gradient Descent cs.LG · 2017 · author #4
  37. Seeds Cleansing CNMF for Spatiotemporal Neural Signals Extraction of Miniscope Imaging Data q-bio.NC · 2017 · author #2
  38. Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling cs.CL · 2016 · author #2
  39. Learning Generic Sentence Representations Using Convolutional Neural Networks cs.CL · 2016 · author #4
  40. Unsupervised Learning with Truncated Gaussian Graphical Models stat.ML · 2016 · author #3
  41. Stochastic Gradient MCMC with Stale Gradients stat.ML · 2016 · author #3
  42. Variational Autoencoder for Deep Learning of Images, Labels and Captions stat.ML · 2016 · author #5
  43. Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization stat.ML · 2015 · author #4
  44. Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks stat.ML · 2015 · author #1
  45. High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models stat.ML · 2015 · author #1
  46. A Deep Generative Deconvolutional Image Model cs.CV · 2015 · author #4
  47. Deep Temporal Sigmoid Belief Networks for Sequence Modeling stat.ML · 2015 · author #2

Mentions

  • 2605.25979 #21 · arxiv_oai · confidence 0.70 Chunyuan Li
  • 2401.05561 #20 · arxiv_oai · confidence 0.70 Chunyuan Li
  • 2306.00890 #1 · arxiv_oai · confidence 0.70 Chunyuan Li
  • 2305.07895 #6 · arxiv_oai · confidence 0.70 Chunyuan Li
  • 2407.12772 #10 · arxiv_oai · confidence 0.70 Chunyuan Li
  • 2406.09411 #15 · arxiv_oai · confidence 0.70 Chunyuan Li
  • 2111.11432 #10 · arxiv_oai · confidence 0.70 Chunyuan Li
  • 2309.14525 #5 · arxiv_oai · confidence 0.70 Chunyuan Li

Frequent Coauthors