A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions | Paper Citation Record

Observation de9bb82a-8b21-466b-896b-75f2732a3774 · outbound

This paper cites Image captioning: Transform- ing objects into words.Advances in neural information processing systems, 32, 2019.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Image captioning: Transform- ing objects into words.Advances in neural information processing systems, 32, 2019

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Observation ec69123c-8d40-43d7-8397-04aa21157e27 · outbound

This paper cites A comprehen- sive survey of deep learning for image captioning.ACM Computing Surveys (CsUR), 51(6): 1–36, 2019.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions A comprehen- sive survey of deep learning for image captioning.ACM Computing Surveys (CsUR), 51(6): 1–36, 2019

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Observation 1b3f5a94-b55a-4720-98f0-129e4b7a8758 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

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Observation c9cb565e-3ac3-4d85-b09e-16220d3f368f · outbound

This paper cites Surveying the landscape of image captioning evaluation: A comprehensive taxonomy and novel ensemble method.arXiv e-prints, pages arXiv–2408, 2024.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Surveying the landscape of image captioning evaluation: A comprehensive taxonomy and novel ensemble method.arXiv e-prints, pages arXiv–2408, 2024

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Observation 1592e1d7-4a1c-4987-96b0-93cab0612cbe · outbound

This paper cites Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models

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Observation f67b4f26-d368-4036-8a39-a626c20d35d1 · outbound

This paper cites Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectives.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectives

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Observation 4bacc46c-d093-4197-94d7-7e97b0c39f0e · outbound

This paper cites Show and tell: A neural image caption generator.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Show and tell: A neural image caption generator

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Observation edc2adb1-0f1c-4218-a72e-a33ea1749f93 · outbound

This paper cites End-to-end transformer based model for image captioning.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions End-to-end transformer based model for image captioning

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Observation 06e431af-6471-48f8-b589-2aa773f0d7a0 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Attention is all you need.Advances in neural information processing systems, 30, 2017

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Observation ca182a09-b1f8-4bc1-ba63-74f61bfd27d5 · outbound

This paper cites Cccaption: Dual-reward reinforcement learning for complete and correct image captioning.arXiv preprint arXiv:2602.21655, 2026.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Cccaption: Dual-reward reinforcement learning for complete and correct image captioning.arXiv preprint arXiv:2602.21655, 2026

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Observation e1c1aa8d-138b-46ab-9229-c9bfa5ca1e76 · outbound

This paper cites Learning transferable visual models from natural language supervision.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Learning transferable visual models from natural language supervision

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Observation 1924cb55-3517-4cc0-93de-8c1ca9103f66 · outbound

This paper cites Blip: Bootstrapping language- image pre-training for unified vision-language understanding and generation.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Blip: Bootstrapping language- image pre-training for unified vision-language understanding and generation

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Observation 7d61b1ac-53bd-400b-8b04-be6af738f114 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

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Observation bbc2ebdd-6316-4446-bbdc-66241cca246c · outbound

This paper cites Qwen2.5-VL Technical Report.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Qwen2.5-VL Technical Report

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Observation ab0b9b6a-df27-4efd-a05d-bba5c842678c · outbound

This paper cites Qwen3 Technical Report.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Qwen3 Technical Report

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Observation 6222624d-ce3d-41f3-853c-e876c5b631ce · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

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Observation 6e255aaf-3065-4dcc-95b7-10398ba50bf6 · outbound

This paper cites FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model

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Observation 4053493b-0866-4e49-b640-edcdf83ca423 · outbound

This paper cites CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era

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Observation fcee4a54-64e3-4c9c-8660-633eec882e8c · outbound

This paper cites Prometheus-vision: Vision-language model as a judge for fine-grained evaluation.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Prometheus-vision: Vision-language model as a judge for fine-grained evaluation

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Observation 824807e0-7ee9-4a89-995f-a8dc7096958a · outbound

This paper cites Caprl: Stimulating dense image caption capabilities via reinforcement learning.arXiv preprint arXiv:2509.22647, 2025.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Caprl: Stimulating dense image caption capabilities via reinforcement learning.arXiv preprint arXiv:2509.22647, 2025

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Observation 5601d520-b86d-4d48-8d07-d7162a776818 · outbound

This paper cites Learning transferable visual models from natural language supervision.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Learning transferable visual models from natural language supervision

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Observation 0f825394-57c9-4c17-8cac-a67cbc569acf · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions CLIPScore: A Reference-free Evaluation Metric for Image Captioning

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Observation ed5e168c-6f53-4ece-bef1-d084656422e4 · outbound

This paper cites Positive- augmented contrastive learning for image and video captioning evaluation.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Positive- augmented contrastive learning for image and video captioning evaluation

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Observation d0c275ef-fe7a-421c-957a-f7f46703118c · outbound

This paper cites Evaluating Image Caption via Cycle-consistent Text-to-Image Generation.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Evaluating Image Caption via Cycle-consistent Text-to-Image Generation

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This paper cites Im- age2text2image: A novel framework for label-free evaluation of image-to-text generation with text-to-image diffusion models.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Im- age2text2image: A novel framework for label-free evaluation of image-to-text generation with text-to-image diffusion models

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Observation d760d816-c7ee-4a39-b9eb-39787985c465 · outbound

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Visual fact checker: Enabling high-fidelity detailed caption generation

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This paper cites TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Davidsonian scene graph: Improving reliability in fine-grained evaluation for text-to-image generation

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Observation a06b21d3-1251-4760-9ed6-0a91ad2de85a · outbound

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Microsoft coco: Common objects in context

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Observation a2459e5d-a224-4bd9-8fbf-24c56d8981de · outbound

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Vqa: Visual question answering

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Observation ea811959-84c1-4db9-9c08-3fa46ba4dd24 · outbound

This paper cites Beyond quantity: Distribution- aware labeling for visual grounding.arXiv preprint arXiv:2505.24372, 2025.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Beyond quantity: Distribution- aware labeling for visual grounding.arXiv preprint arXiv:2505.24372, 2025

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Observation cdce35e3-d0d8-497e-811f-e4419971087c · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player? InEuropean Conference on Computer Vision, pages 216–233.

A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Mmbench: Is your multi-modal model an all-around player? InEuropean Conference on Computer Vision, pages 216–233

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Observation 6ad42cf7-0956-48a8-a8c7-940d7755b153 · outbound

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Are we on the right way for evaluating large vision- language models?Advances in Neural Information Processing Systems, 37:27056–27087, 2024

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Observation 4dab1268-75c8-4190-adef-9f4ae9020ae4 · outbound

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Hallusionbench: an advanced diagnostic suite for entangled language hallucination and visual illusion in large vision-language models

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

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Observation c6675f83-2f1f-48b5-89c5-2e52fc679dcb · outbound

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

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Observation 97a2ed12-8357-4d50-acde-0bb217817342 · outbound

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? InEuropean Conference on Computer Vision, pages 169–186

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Measuring multimodal mathematical reasoning with math-vision dataset

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Observation da2fef2f-9f97-468f-84a1-07e11fc165c8 · outbound

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Observation 636f817c-2c60-4728-be89-ab62bbac3110 · outbound

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Ocr-vqa: Visual question answering by reading text in images

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Observation cdd9693b-fd8f-4670-be20-27f3e3eac1a1 · outbound

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Referitgame: Referring to objects in photographs of natural scenes

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Llama-3.2-11b-vision – multimodal large language model (text + image → text)

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Observation a4e25302-67e0-48c7-ae84-8151916f4a1e · outbound

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

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Observation 6399c4b2-7c03-46d9-8ed9-d68d57647d12 · outbound

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Finite mixture models.Annual review of statistics and its application, 6(1):355–378, 2019

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions A density-based algorithm for discovering clusters in large spatial databases with noise

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Qwen-Image Technical Report

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Unitbox: An advanced object detection network

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Opensearch-ai / ops-mm-embedding-v1-7b

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Observation 2606616d-bfa6-47bc-ad81-aa284a0ae4df · outbound

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Gpt-5: A new era in language models.OpenAI Technical Report, 2025

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Scaling Laws for Neural Language Models

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions High- resolution image synthesis with latent diffusion models

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions question

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Unresolved cited work

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions gold standard

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Observation 9fc606de-a5fc-4260-bbec-4aca9748345b · outbound

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A Reconstruction-Based Framework for Caption Evaluation Beyond Reference Captions Compares the performance of two judgers, Qwen2.5 (Qwen2.5-VL-3B) and Qwen3 (Qwen3-VL-8B)

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