OpenCodePapers

prompt-engineering-on-stanford-cars-1

Prompt Engineering
Dataset Link
Results over time
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Leaderboard
PaperCodeHarmonic meanModelNameReleaseDate
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models✓ Link83.13PromptKD2024-03-05
MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models✓ Link78.18MMRL++2025-05-15
MMRL: Multi-Modal Representation Learning for Vision-Language Models✓ Link78.06MMRL2025-03-11
DePT: Decoupled Prompt Tuning✓ Link77.79DePT2023-09-14
Prompt Learning via Meta-Regularization✓ Link76.72ProMetaR2024-04-01
Self-regulating Prompts: Foundational Model Adaptation without Forgetting✓ Link76.58PromptSRC2023-07-13
Consistency-guided Prompt Learning for Vision-Language Models✓ Link75.66CoPrompt2023-06-01
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling✓ Link75.59HPT++2024-08-27
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models✓ Link75.57HPT2023-12-11
Learning Domain Invariant Prompt for Vision-Language Models✓ Link75.48MetaPrompt2022-12-08
Read-only Prompt Optimization for Vision-Language Few-shot Learning✓ Link74.69RPO2023-08-29
MaPLe: Multi-modal Prompt Learning✓ Link73.47MaPLe2022-10-06
Conditional Prompt Learning for Vision-Language Models✓ Link72.01CoCoOp2022-03-10
Learning Transferable Visual Models From Natural Language Supervision✓ Link68.65CLIP2021-02-26