Text Matching

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

7 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 161 papers with code (364 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.

• AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
  28 Nov 2017 20 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  In this paper, we propose an Attentional Generative Adversarial Network (AttnGAN) that allows attention-driven, multi-stage refinement for fine-grained text-to-image generation.
• Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering
  10 Nov 2019 7 repositories listed Syntology ran 4 of 6 samples · 2 unverified · 4 pointer-only (licence)
  We introduce an approach for open-domain question answering (QA) that retrieves and reads a passage graph, where vertices are passages of text and edges represent relationships that are derived from an external…
• UNITER: UNiversal Image-TExt Representation Learning
  25 Sep 2019 7 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 2 pointer-only (licence)
  Different from previous work that applies joint random masking to both modalities, we use conditional masking on pre-training tasks (i.
• Text Matching as Image Recognition
  20 Feb 2016 7 repositories listed
  An effective way is to extract meaningful matching patterns from words, phrases, and sentences to produce the matching score.
• Stacked Cross Attention for Image-Text Matching
  21 Mar 2018 6 repositories listed Syntology ran 7 of 16 samples · 9 unverified · 1 pointer-only (licence)
  Prior work either simply aggregates the similarity of all possible pairs of regions and words without attending differentially to more and less important words or regions, or uses a multi-step attentional process to…
• ColPali: Efficient Document Retrieval with Vision Language Models
  27 Jun 2024 5 repositories listed Syntology ran 2 of 4 samples · 2 unverified
  Documents are visually rich structures that convey information through text, but also figures, page layouts, tables, or even fonts.
• Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
  1 Mar 2020 4 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  To improve fine-grained video-text retrieval, we propose a Hierarchical Graph Reasoning (HGR) model, which decomposes video-text matching into global-to-local levels.
• Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-modal Structured Representations
  6 May 2023 3 repositories listed Syntology ran 0 of 9 samples · 9 unverified
  In this paper, we present an end-to-end framework Structure-CLIP, which integrates Scene Graph Knowledge (SGK) to enhance multi-modal structured representations.
• DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis
  13 Aug 2020 3 repositories listed
  To these ends, we propose a simpler but more effective Deep Fusion Generative Adversarial Networks (DF-GAN).
• Simple and Effective Text Matching with Richer Alignment Features
  1 Aug 2019 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  In this paper, we present a fast and strong neural approach for general purpose text matching applications.
• A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models
  24 Jul 2023 2 repositories listed
  This paper aims to provide a comprehensive survey of cutting-edge research in prompt engineering on three types of vision-language models: multimodal-to-text generation models (e.
• Self-supervised vision-language pretraining for Medical visual question answering
  24 Nov 2022 2 repositories listed Syntology ran 6 of 10 samples · 4 unverified
  Medical image visual question answering (VQA) is a task to answer clinical questions, given a radiographic image, which is a challenging problem that requires a model to integrate both vision and language information.
• Dissecting Deep Metric Learning Losses for Image-Text Retrieval
  21 Oct 2022 2 repositories listed
  In the event that the gradients are not integrable to a valid loss function, we implement our proposed objectives such that they would directly operate in the gradient space instead of on the losses in the embedding…
• ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO
  7 Apr 2022 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
  Image-Text matching (ITM) is a common task for evaluating the quality of Vision and Language (VL) models.
• ActionCLIP: A New Paradigm for Video Action Recognition
  17 Sep 2021 2 repositories listed Syntology ran 5 of 9 samples · 4 unverified
  Moreover, to handle the deficiency of label texts and make use of tremendous web data, we propose a new paradigm based on this multimodal learning framework for action recognition, which we dub "pre-train, prompt and…
• Identifying Machine-Paraphrased Plagiarism
  22 Mar 2021 2 repositories listed
  Employing paraphrasing tools to conceal plagiarized text is a severe threat to academic integrity.
• Universal Weighting Metric Learning for Cross-Modal Matching
  7 Oct 2020 2 repositories listed Syntology ran 3 of 11 samples · 8 unverified
  Furthermore, we introduce a new polynomial loss under the universal weighting framework, which defines a weight function for the positive and negative informative pairs respectively.
• Extractive Summarization as Text Matching
  19 Apr 2020 2 repositories listed
  This paper creates a paradigm shift with regard to the way we build neural extractive summarization systems.
• Visual Semantic Reasoning for Image-Text Matching
  6 Sep 2019 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  It outperforms the current best method by 6.
• Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking
  12 Aug 2019 2 repositories listed
  We propose a novel framework that achieves remarkable matching performance with acceptable model complexity.
• Dual Attention Networks for Multimodal Reasoning and Matching
  2 Nov 2016 2 repositories listed
  We propose Dual Attention Networks (DANs) which jointly leverage visual and textual attention mechanisms to capture fine-grained interplay between vision and language.
• Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models
  10 Jun 2025 1 repository listed
  ALTA achieves superior performance in vision-language matching tasks like retrieval and zero-shot classification by adapting the pretrained vision model from masked record modeling.
• Aligning Information Capacity Between Vision and Language via Dense-to-Sparse Feature Distillation for Image-Text Matching
  19 Mar 2025 1 repository listed
  Enabling Visual Semantic Models to effectively handle multi-view description matching has been a longstanding challenge.
• CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP
  5 Mar 2025 1 repository listed Syntology ran 2 of 4 samples · 2 unverified · 4 pointer-only (licence)
  Our paradigm is simple and training-free, providing the first method to defend CLIP from adversarial attacks at test time, which is orthogonal to existing methods aiming to boost zero-shot adversarial robustness of CLIP.
• IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis
  2 Mar 2025 1 repository listed
  To address these challenges, we propose IteRPrimE (Iterative Grad-CAM Refinement and Primary word Emphasis), which leverages a saliency heatmap through Grad-CAM from a Vision-Language Pre-trained (VLP) model for…
• CLIP Under the Microscope: A Fine-Grained Analysis of Multi-Object Representation
  27 Feb 2025 1 repository listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)
  Contrastive Language-Image Pre-training (CLIP) models excel in zero-shot classification, yet face challenges in complex multi-object scenarios.
• FiLo++: Zero-/Few-Shot Anomaly Detection by Fused Fine-Grained Descriptions and Deformable Localization
  17 Jan 2025 1 repository listed
  However, their handcrafted generic descriptions fail to capture the diverse range of anomalies that may emerge in different objects, and simple patch-level image-text matching often struggles to localize anomalous…
• Vulnerability of Text-Matching in ML/AI Conference Reviewer Assignments to Collusions
  9 Dec 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  In the peer review process of top-tier machine learning (ML) and artificial intelligence (AI) conferences, reviewers are assigned to papers through automated methods.
• TDSM: Triplet Diffusion for Skeleton-Text Matching in Zero-Shot Action Recognition
  16 Nov 2024 1 repository listed
  In zero-shot skeleton-based action recognition, aligning skeleton features with the text features of action labels is essential for accurately predicting unseen actions.
• DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation
  10 Oct 2024 1 repository listed Syntology ran 5 of 7 samples · 2 unverified · 7 pointer-only (licence)
  To this end, in this paper, we propose DISCO, a hierarchical Disentanglement based Cognitive diagnosis framework, aimed at flexibly accommodating the underlying representation learning model for effective and…

Syntology lines on 17 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.