Prompt Learning

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 320 papers with code (678 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Learning to Prompt for Vision-Language Models
  2 Sep 2021 18 repositories listed Syntology ran 3 of 12 samples · 9 unverified
  Large pre-trained vision-language models like CLIP have shown great potential in learning representations that are transferable across a wide range of downstream tasks.
• Conditional Prompt Learning for Vision-Language Models
  10 Mar 2022 12 repositories listed Syntology ran 4 of 6 samples · 2 unverified
  With the rise of powerful pre-trained vision-language models like CLIP, it becomes essential to investigate ways to adapt these models to downstream datasets.
• Awesome Multi-modal Object Tracking
  23 May 2024 5 repositories listed
  To leverage more modalities, some recent efforts have been made to learn a unified visual object tracking model for any modality.
• LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
  25 Aug 2024 4 repositories listed Syntology ran 1 of 9 samples · 8 unverified
  Zero-shot graph machine learning, especially with graph neural networks (GNNs), has garnered significant interest due to the challenge of scarce labeled data.
• MVDream: Multi-view Diffusion for 3D Generation
  31 Aug 2023 4 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  We introduce MVDream, a diffusion model that is able to generate consistent multi-view images from a given text prompt.
• Graph Prompt Learning: A Comprehensive Survey and Beyond
  28 Nov 2023 3 repositories listed
  This paper presents a pioneering survey on the emerging domain of graph prompts in AGI, addressing key challenges and opportunities in harnessing graph data for AGI applications.
• AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
  29 Oct 2023 3 repositories listed Syntology ran 14 of 32 samples · 18 unverified
  It is a crucial task when training data is not accessible due to various concerns, eg, data privacy, yet it is challenging since the models need to generalize to anomalies across different domains where the appearance…
• MotionGPT: Human Motion as a Foreign Language
  26 Jun 2023 3 repositories listed Syntology ran 1 of 9 samples · 8 unverified
  Building upon this "motion vocabulary", we perform language modeling on both motion and text in a unified manner, treating human motion as a specific language.
• MaPLe: Multi-modal Prompt Learning
  6 Oct 2022 3 repositories listed Syntology ran 4 of 6 samples · 2 unverified
  Pre-trained vision-language (V-L) models such as CLIP have shown excellent generalization ability to downstream tasks.
• Cascade Prompt Learning for Vision-Language Model Adaptation
  26 Sep 2024 2 repositories listed
  Prompt learning has surfaced as an effective approach to enhance the performance of Vision-Language Models (VLMs) like CLIP when applied to downstream tasks.
• Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts
  10 Sep 2024 2 repositories listed
  SAM and its variants often fail to segment structures in ultrasound (US) images due to domain shift.
• HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling
  27 Aug 2024 2 repositories listed
  Specifically, we introduce a relationship-guided attention module to capture pair-wise associations among entities and attributes for low-level prompt learning.
• Re-boosting Self-Collaboration Parallel Prompt GAN for Unsupervised Image Restoration
  17 Aug 2024 2 repositories listed
  As SE increases computational complexity during inference, we propose a re-boosting module to the SC (Reb-SC) to improve the SC strategy further by incorporating SE into SC without increasing inference time.
• LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
  12 Jul 2024 2 repositories listed Syntology ran 8 of 17 samples · 9 unverified
  The LAPT framework operates autonomously, requiring only ID class names as input and eliminating the need for manual intervention.
• Low-Rank Few-Shot Adaptation of Vision-Language Models
  28 May 2024 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Recent progress in the few-shot adaptation of Vision-Language Models (VLMs) has further pushed their generalization capabilities, at the expense of just a few labeled samples within the target downstream task.
• Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy
  7 Jan 2024 2 repositories listed Syntology ran 7 of 13 samples · 6 unverified · 13 pointer-only (licence)
  While single task image restoration (IR) has achieved significant successes, it remains a challenging issue to train a single model which can tackle multiple IR tasks.
• Prompt-driven Latent Domain Generalization for Medical Image Classification
  5 Jan 2024 2 repositories listed
  To address these challenges, we propose a novel DG framework for medical image classification without relying on domain labels, called Prompt-driven Latent Domain Generalization (PLDG).
• Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
  11 Dec 2023 2 repositories listed Syntology ran 3 of 7 samples · 4 unverified
  To address this limitation and prioritize harnessing structured knowledge, this paper advocates for leveraging LLMs to build a graph for each description to model the entities and attributes describing the category, as…
• GraphPro: Graph Pre-training and Prompt Learning for Recommendation
  28 Nov 2023 2 repositories listed Syntology ran 6 of 7 samples · 1 unverified
  The temporal prompt mechanism encodes time information on user-item interaction, allowing the model to naturally capture temporal context, while the graph-structural prompt learning mechanism enables the transfer of…
• VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
  25 Nov 2023 2 repositories listed
  Salient object detection (SOD) and camouflaged object detection (COD) are related yet distinct binary mapping tasks.
• An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
  18 Oct 2023 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified
  Textural Inversion, a prompt learning method, learns a singular text embedding for a new "word" to represent image style and appearance, allowing it to be integrated into natural language sentences to generate novel…
• PRE: Vision-Language Prompt Learning with Reparameterization Encoder
  14 Sep 2023 2 repositories listed
  In this work, we present Prompt Learning with Reparameterization Encoder (PRE) - a simple and efficient method that enhances the generalization ability of the learnable prompt to unseen classes while maintaining the…
• Self-regulating Prompts: Foundational Model Adaptation without Forgetting
  13 Jul 2023 2 repositories listed Syntology ran 7 of 21 samples · 14 unverified
  To the best of our knowledge, this is the first regularization framework for prompt learning that avoids overfitting by jointly attending to pre-trained model features, the training trajectory during prompting, and the…
• Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation
  30 Jun 2023 2 repositories listed
  First, modifying only the class token of the text prompt results in a greater impact on the Class Activation Map (CAM), compared to arguably more complex strategies that optimize the context.
• LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
  2 Jun 2023 2 repositories listed Syntology ran 5 of 12 samples · 7 unverified
  CLIP's local features have a lot of ID-irrelevant nuisances (e.
• Consistency-guided Prompt Learning for Vision-Language Models
  1 Jun 2023 2 repositories listed Syntology ran 3 of 7 samples · 4 unverified
  Our approach improves the generalization of large foundation models when fine-tuned on downstream tasks in a few-shot setting.
• Federated Prompt Learning for Weather Foundation Models on Devices
  23 May 2023 2 repositories listed
  On-device intelligence for weather forecasting uses local deep learning models to analyze weather patterns without centralized cloud computing, holds significance for supporting human activates.
• How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
  2 May 2023 2 repositories listed
  Scaling language models have revolutionized widespread NLP tasks, yet little comprehensively explored few-shot relation extraction with large language models.
• Multimodal Prompting with Missing Modalities for Visual Recognition
  6 Mar 2023 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  In this paper, we tackle two challenges in multimodal learning for visual recognition: 1) when missing-modality occurs either during training or testing in real-world situations; and 2) when the computation resources…
• Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
  29 Sep 2022 2 repositories listed Syntology ran 3 of 7 samples · 4 unverified
  However, it is unknown if the models can handle more complex problems that involve math reasoning over heterogeneous information, such as tabular data.

Syntology lines on 18 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.