OpenCodePapers

prompt-engineering-on-sun397

Transfer LearningPrompt Engineering
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Results over time
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PaperCodeHarmonic meanModelNameReleaseDate
Causality-guided Prompt Learning for Vision-language Models via Visual Granulation83.84CaPL2025-09-04
DeAR: Fine-Grained VLM Adaptation by Decomposing Attention Head Roles✓ Link82.80DeAR2026-03-01
MERGETUNE: Continued Fine-Tuning of Vision-Language Models✓ Link82.69PromptKD + MergeTune2026-01-15
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models✓ Link82.60PromptKD2024-03-05
Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics81.81GAPL2026-04-05
GLAD: Generalizable Tuning for Vision-Language Models81.46GLAD2025-07-17
Consistency-guided Prompt Learning for Vision-Language Models✓ Link81.31CoPrompt2023-06-01
MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models✓ Link81.28MMRL++2025-05-15
SpecPL: Disentangling Spectral Granularity for Prompt Learning✓ Link81.28MMRL + SpecPL2026-05-06
MMRL: Multi-Modal Representation Learning for Vision-Language Models✓ Link81.2MMRL2025-03-11
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling✓ Link81.11HPT++2024-08-27
AttriPrompt: Dynamic Prompt Composition Learning for CLIP81.10AttriPrompt2025-09-07
DePT: Decoupled Prompt Tuning✓ Link81.06DePT2023-09-14
Robust Prompt Tuning for Vision-Language Models with Mild Semantic Noise81.02ANPrompt2025-08-06
Fourier-Attentive Representation Learning: A Fourier-Guided Framework for Few-Shot Generalization in Vision-Language Models80.91FARL2025-12-04
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models✓ Link80.88HPT2023-12-11
Prompt Learning via Meta-Regularization✓ Link80.82ProMetaR2024-04-01
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning80.68PromptSRC + IPL2026-05-06
ProCAP: Probabilistic Cross-Attentive Prompt Learning for Vision-Language Models✓ Link80.66ProCAP2026-09-24
One Last Attention for Your Vision-Language Model✓ Link80.63RAda + Adapter2025-07-21
Learning Domain Invariant Prompt for Vision-Language Models✓ Link80.62MetaPrompt2022-12-08
HeBA: Heterogeneous Bottleneck Adapters for Robust Vision-Language Models✓ Link80.58HeBA2026-03-17
Self-regulating Prompts: Foundational Model Adaptation without Forgetting✓ Link80.52PromptSRC2023-07-13
MERGETUNE: Continued Fine-Tuning of Vision-Language Models✓ Link80.42MMA + MergeTune2026-01-15
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning79.77MaPLe + IPL2026-05-06
One Last Attention for Your Vision-Language Model✓ Link79.76RAda + Prompt2025-07-21
MaPLe: Multi-modal Prompt Learning✓ Link79.75MaPLe2022-10-06
SpecPL: Disentangling Spectral Granularity for Prompt Learning✓ Link79.28MaPLe + SpecPL2026-05-06
Read-only Prompt Optimization for Vision-Language Few-shot Learning✓ Link79.18RPO2023-08-29
MERGETUNE: Continued Fine-Tuning of Vision-Language Models✓ Link78.87KgCoOp + MergeTune2026-01-15
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning78.66CoCoOp + IPL2026-05-06
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning78.32KgCoOp + IPL2026-05-06
Conditional Prompt Learning for Vision-Language Models✓ Link78.27CoCoOp2022-03-10
MERGETUNE: Continued Fine-Tuning of Vision-Language Models✓ Link78.22CoOp + MergeTune2026-01-15
One Last Attention for Your Vision-Language Model✓ Link78.11RAda2025-07-21
SpecPL: Disentangling Spectral Granularity for Prompt Learning✓ Link77.80CoCoOp + SpecPL2026-05-06
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning75.40CoOp + IPL2026-05-06
SpecPL: Disentangling Spectral Granularity for Prompt Learning✓ Link75.17CoOp + SpecPL2026-05-06
Learning Transferable Visual Models From Natural Language Supervision✓ Link72.23CLIP2021-02-26
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