| PETR: Prompt Ensembling with Training-free Routing for Vision-Language Models | | 87.77 | PETR | 2026-09-20 |
| Decouple before Align: Visual Disentanglement Enhances Prompt Tuning | ✓ Link | 87.52 | DAPT + PromptKD | 2025-08-01 |
| SemPT: Semantic Prompt Tuning for Vision-Language Models | | 87.42 | PromptKD w/ SemPT | 2025-08-14 |
| DeAR: Fine-Grained VLM Adaptation by Decomposing Attention Head Roles | ✓ Link | 78.83 | DeAR | 2026-03-01 |
| Prompt Tuning for CLIP on the Pretrained Manifold | | 78.79 | ManiPT | 2026-02-22 |
| Variational Adapter for Cross-modal Similarity Representation | | 78.4 | VACSR | 2026-05-29 |
| AmPLe: Supporting Vision-Language Models via Adaptive-Debiased Ensemble Multi-Prompt Learning | ✓ Link | 78.30 | MMRL + AmPLe | 2025-12-20 |
| AttriPrompt: Dynamic Prompt Composition Learning for CLIP | | 78.17 | AttriPrompt | 2025-09-07 |
| AmPLe: Supporting Vision-Language Models via Adaptive-Debiased Ensemble Multi-Prompt Learning | ✓ Link | 78.07 | MMA + AmPLe | 2025-12-20 |
| VaMP: Variational Multi-Modal Prompt Learning for Vision-Language Models | | 78.01 | VaMP | 2025-11-27 |
| DiscoVL: Unveiling Disentangled C ross-Modal Representation Learning via Orthogonal Adversarial Regularization for V ision-Language Models | | 78.00 | DiscoVL | 2026-10-08 |
| Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition | ✓ Link | 77.9 | POMP | 2023-04-10 |
| AmPLe: Supporting Vision-Language Models via Adaptive-Debiased Ensemble Multi-Prompt Learning | ✓ Link | 77.90 | MaPLe + AmPLe | 2025-12-20 |
| Guided Prompt Evolution for Vision-Language Models Adaptation | | 77.90 | EvoPrompt | 2026-03-10 |
| MQAdapter: Multi-Modal Quantum Adapter for Coarse-to-Fine VLM Fine-tuning | | 77.90 | PromptSRC + MQAdapter | 2026-07-14 |
| Self-regulating Prompts: Foundational Model Adaptation without Forgetting | ✓ Link | 77.80 | PromptSRC | 2023-07-13 |
| RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models | | 77.70 | RMAdapter | 2025-12-07 |
| MMLoP: Multi-Modal Low-Rank Prompting for Efficient Vision-Language Adaptation | ✓ Link | 77.63 | MMLoP | 2026-02-24 |
| MQAdapter: Multi-Modal Quantum Adapter for Coarse-to-Fine VLM Fine-tuning | | 77.55 | MMRL++ + MQAdapter | 2026-07-14 |
| MMRL: Multi-Modal Representation Learning for Vision-Language Models | ✓ Link | 77.53 | MMRL | 2025-03-11 |
| HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling | ✓ Link | 77.52 | HPT++ | 2024-08-27 |
| Consistency-guided Prompt Learning for Vision-Language Models | ✓ Link | 77.51 | CoPrompt | 2023-06-01 |
| From Points to Clouds: Learning Robust Semantic Distributions for Multi-modal Prompts | | 77.5 | P2C | 2025-11-28 |
| Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics | | 77.50 | GAPL | 2026-04-05 |
| Robust Prompt Tuning for Vision-Language Models with Mild Semantic Noise | | 77.47 | ANPrompt | 2025-08-06 |
| GLAD: Generalizable Tuning for Vision-Language Models | | 77.43 | GLAD | 2025-07-17 |
| Integrated Structural Prompt Learning for Vision-Language Models | | 77.40 | ISP | 2025-07-08 |
| Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models | ✓ Link | 77.38 | HPT | 2023-12-11 |
| ProCAP: Probabilistic Cross-Attentive Prompt Learning for Vision-Language Models | ✓ Link | 77.35 | ProCAP | 2026-09-24 |
| Decouple before Align: Visual Disentanglement Enhances Prompt Tuning | ✓ Link | 77.22 | DAPT-S | 2025-08-01 |
| MQAdapter: Multi-Modal Quantum Adapter for Coarse-to-Fine VLM Fine-tuning | | 77.21 | MaPLe + MQAdapter | 2026-07-14 |
| Hierarchical Cross-modal Prompt Learning for Vision-Language Models | ✓ Link | 77.15 | HiCroPL | 2025-07-20 |
| Decouple before Align: Visual Disentanglement Enhances Prompt Tuning | ✓ Link | 77.14 | DAPT + PromptSRC | 2025-08-01 |
| MaPLe: Multi-modal Prompt Learning | ✓ Link | 76.98 | MaPLe | 2022-10-06 |
| Decouple before Align: Visual Disentanglement Enhances Prompt Tuning | ✓ Link | 76.82 | DAPT-G | 2025-08-01 |
| HeBA: Heterogeneous Bottleneck Adapters for Robust Vision-Language Models | ✓ Link | 76.56 | HeBA | 2026-03-17 |
| Conditional Prompt Learning for Vision-Language Models | ✓ Link | 76.18 | CoCoOP | 2022-03-10 |
| Learning Transferable Visual Models From Natural Language Supervision | ✓ Link | 73.96 | CLIP | 2021-02-26 |