Concept Alignment

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (36 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.

• FinTagging: An LLM-ready Benchmark for Extracting and Structuring Financial Information
  27 May 2025 1 repository listed
  We introduce FinTagging, the first full-scope, table-aware XBRL benchmark designed to evaluate the structured information extraction and semantic alignment capabilities of large language models (LLMs) in the context of…
• Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models
  27 May 2025 1 repository listed
  Vision-language models (VLMs) trained on internet-scale data achieve remarkable zero-shot detection performance on common objects like car, truck, and pedestrian.
• Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning Models
  21 Feb 2025 1 repository listed
  Retrieval-Augmented Generation (RAG) systems face significant performance gaps when applied to technical domains requiring precise information extraction from complex documents.
• ConceptCLIP: Towards Trustworthy Medical AI via Concept-Enhanced Contrastive Langauge-Image Pre-training
  26 Jan 2025 1 repository listed
  This dual alignment strategy enhances the model's capability to associate specific image regions with relevant concepts, thereby improving both the precision of analysis and the interpretability of the AI system.
• RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment
  13 Jan 2025 1 repository listed
  Automated chest radiographs interpretation requires both accurate disease classification and detailed radiology report generation, presenting a significant challenge in the clinical workflow.
• Text-Video Retrieval with Global-Local Semantic Consistent Learning
  21 May 2024 1 repository listed
  Then, we devise a shared local interaction module that employs several learnable queries to capture latent semantic concepts for learning fine-grained alignment.
• Anchor and Broadcast: An Efficient Concept Alignment Approach for Evaluation of Semantic Graphs
  20 May 2024 1 repository listed
  In this paper, we present AnCast, an intuitive and efficient tool for evaluating graph-based meaning representations (MR).
• Improving Concept Alignment in Vision-Language Concept Bottleneck Models
  3 May 2024 1 repository listed
  To address this issue, we propose a novel Contrastive Semi-Supervised (CSS) learning method that leverages a few labeled concept samples to activate truthful visual concepts and improve concept alignment in the CLIP…
• A Self-explaining Neural Architecture for Generalizable Concept Learning
  1 May 2024 1 repository listed
  With the wide proliferation of Deep Neural Networks in high-stake applications, there is a growing demand for explainability behind their decision-making process.
• Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models
  12 Mar 2024 1 repository listed
  To address this issue, we propose a novel LMM architecture named Lumen, a Large multimodal model with versatile vision-centric capability enhancement.
• λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
  7 Feb 2024 1 repository listed
  While LDMs offer distinct advantages, P-T2I methods' reliance on the latent space of these diffusion models significantly escalates resource demands, leading to inconsistent results and necessitating numerous iterations…
• MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment
  16 Jan 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Black-box deep learning approaches have showcased significant potential in the realm of medical image analysis.
• Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and Retention
  18 Nov 2023 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  For the more challenging settings of relation-involved open vocabulary SGG, the proposed approach integrates relation-aware pretraining utilizing image-caption data and retains visual-concept alignment through knowledge…
• AltDiffusion: A Multilingual Text-to-Image Diffusion Model
  19 Aug 2023 1 repository listed Syntology ran 9 of 11 samples · 2 unverified · 11 pointer-only (licence)
  Specifically, we first train a multilingual text encoder based on the knowledge distillation.
• ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
  7 Jun 2023 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  To quantify the ability of T2I models in learning and synthesizing novel visual concepts (a.
• CapEnrich: Enriching Caption Semantics for Web Images via Cross-modal Pre-trained Knowledge
  17 Nov 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Automatically generating textual descriptions for massive unlabeled images on the web can greatly benefit realistic web applications, e.
• Joint covariate-alignment and concept-alignment: a framework for domain generalization
  1 Aug 2022 1 repository listed
  Particularly, our framework proposes to jointly minimize both the covariate-shift as well as the concept-shift between the seen domains for a better performance on the unseen domain.
• Concept Extraction Using Pointer-Generator Networks
  25 Aug 2020 1 repository listed
  Concept extraction is crucial for a number of downstream applications.
• Discovery of Natural Language Concepts in Individual Units of CNNs
  18 Feb 2019 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  Although deep convolutional networks have achieved improved performance in many natural language tasks, they have been treated as black boxes because they are difficult to interpret.

Syntology lines on 6 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.