mlsanityData to 14 Oct 2026

Clue: Cross-modal Coherence Modeling for Caption Generation

arXiv 2005.00908 ↗First posted 2 May 2020cs.CL cs.CVcited by 24

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Abstract (arXiv)

We use coherence relations inspired by computational models of discourse to study the information needs and goals of image captioning. Using an annotation protocol specifically devised for capturing image--caption coherence relations, we annotate 10,000 instances from publicly-available image--caption pairs. We introduce a new task for learning inferences in imagery and text, coherence relation prediction, and show that these coherence annotations can be exploited to learn relation classifiers as an intermediary step, and also train coherence-aware, controllable image captioning models. The results show a dramatic improvement in the consistency and quality of the generated captions with respect to information needs specified via coherence relations.

Key facts. Cited by 24 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 May 2020.

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Citing papers per year: 2021: 6; 2022: 6; 2023: 4; 2024: 4; 2025: 4.

24 papers.

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  1. 2021From Show to Tell: A Survey on Deep Learning-based Image Captioningcited by 138
  2. 2022Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Datasetcited by 100
  3. 2022All You May Need for VQA are Image Captionscited by 65
  4. 2023MemeCap: A Dataset for Captioning and Interpreting Memescited by 46
  5. 2021Human-like Controllable Image Captioning with Verb-specific Semantic Rolescited by 41
  6. 2022Underspecification in Scene Description-to-Depiction Taskscited by 30
  7. 2021Concadia: Towards Image-Based Text Generation with a Purposecited by 15
  8. 2022Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approachescited by 12
  9. 2021COSMic: A Coherence-Aware Generation Metric for Image Descriptionscited by 9
  10. 2023Dealing with Semantic Underspecification in Multimodal NLPcited by 9
  11. 2024Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied Agentscited by 8
  12. 2021Cross-Modal Coherence for Text-to-Image Retrievalcited by 5
12 more
  1. 2022CLID: Controlled-Length Image Descriptions with Limited Datacited by 4
  2. 2023"We Demand Justice!": Towards Social Context Grounding of Political Textscited by 4
  3. 2025CORDIAL: Can Multimodal Large Language Models Effectively Understand Coherence Relationships?cited by 3
  4. 2025RONA: Pragmatically Diverse Image Captioning with Coherence Relationscited by 3
  5. 2025IRONIC: Coherence-Aware Reasoning Chains for Multi-Modal Sarcasm Detectioncited by 3
  6. 2023Transform, Contrast and Tell: Coherent Entity-Aware Multi-Image Captioningcited by 1
  7. 2024Surveying the Landscape of Image Captioning Evaluation: A Comprehensive Taxonomy, Trends and Metrics Analysiscited by 1
  8. 2024Multimodal Coherent Explanation Generation of Robot Failurescited by 1
  9. 2025Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generationcited by 1
  10. 2021AnANet: Modeling Association and Alignment for Cross-modal Correlation Classificationcited by 0
  11. 2022Zero-shot Cross-Linguistic Learning of Event Semanticscited by 0
  12. 2024ANCHOR: LLM-driven Subject Conditioning for Text-to-Image Synthesiscited by 0