Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:36:43.741522Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.19027.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:36:43.741522Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval GPT-4 Technical Report
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval IEEE transactions on pattern analysis and machine intelligence38(10), 2069–2081 (2015)
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceedings of the ieee conference on computer vision and pattern recognition
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceedings of the IEEE/CVF International Conference on Computer Vision
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Transfer Learning for Natural Language Processing Workshop
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceedings of the IEEE international conference on computer vision
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval The Llama 3 Herd of Models
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Companion Proceedings of the ACM on Web Conference 2025
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceedings of the 31st ACM International Conference on Multimedia
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceedings of the IEEE international conference on computer vision
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval Advances in Neural Information Processing Systems34, 11846–11858 (2021)
Reference 17
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Computer Vision–ECCV 2020: 16th European Con- ference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXI 16
Reference 18
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: International conference on machine learning
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: International confer- ence on machine learning
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval Unresolved cited work
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceedings of the AAAI conference on artificial intelligence
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceedings of the IEEE/CVF winter con- ference on applications of computer vision
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceedings of the IEEE/CVF International Conference on Computer Vision
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceedings of the IEEE/CVF international conference on computer vision
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval DINOv2: Learning Robust Visual Features without Supervision
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval Learning Transferable Visual Models From Natural Language Supervision
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: International conference on machine learning
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: 2007 IEEE conference on computer vision and pattern recognition
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval IEEE Signal Process- ing Letters31, 521–525 (2023)
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval LLaMA: Open and Efficient Foundation Language Models
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval Llama 2: Open Foundation and Fine-Tuned Chat Models
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceedings of the 30th ACM international conference on multimedia
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval Unresolved cited work
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval Unresolved cited work
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval arXiv preprint arXiv:2505.12499 (2025)
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval Applied Sciences14(5), 1894 (Feb 2024).https: //doi.org/10.3390/app14051894,http://dx.doi.org/10.3390/app14051894
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: 2024 International Joint Conference on Neural Networks (IJCNN)
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceedings of the AAAI Conference on Artificial Intelligence
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: 2024 IEEE International Conference on Multimedia and Expo (ICME)
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval Unresolved cited work
Reference 48
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: European Conference on Com- puter Vision
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Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval In: Proceedings of the AAAI Conference on Artificial Intelligence
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Observation 4ad58414-8e77-4558-b72f-573a31fd3bfa · outbound
Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval Yes” and “No
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No inbound Pith citation observations are available.