VIG-RL: Learning to Search and Insert for Verified Image Grounding | Paper Citation Record

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VIG-RL: Learning to Search and Insert for Verified Image Grounding International Conference on Learning Representations , volume=

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VIG-RL: Learning to Search and Insert for Verified Image Grounding International Conference on Learning Representations , volume=

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VIG-RL: Learning to Search and Insert for Verified Image Grounding Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

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VIG-RL: Learning to Search and Insert for Verified Image Grounding Advances in neural information processing systems , volume=

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VIG-RL: Learning to Search and Insert for Verified Image Grounding National Science Review , volume=

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VIG-RL: Learning to Search and Insert for Verified Image Grounding International Conference on Learning Representations , volume=

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VIG-RL: Learning to Search and Insert for Verified Image Grounding International Conference on Learning Representations , volume=

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VIG-RL: Learning to Search and Insert for Verified Image Grounding arXiv preprint arXiv:2509.13642 , year=

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VIG-RL: Learning to Search and Insert for Verified Image Grounding Advances in Neural Information Processing Systems , volume=

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VIG-RL: Learning to Search and Insert for Verified Image Grounding Forty-first International Conference on Machine Learning , year=

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VIG-RL: Learning to Search and Insert for Verified Image Grounding International Conference on Machine Learning , pages=

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VIG-RL: Learning to Search and Insert for Verified Image Grounding Proceedings of the 31st International Conference on Computational Linguistics: System Demonstrations , pages=

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VIG-RL: Learning to Search and Insert for Verified Image Grounding Findings of the Association for Computational Linguistics: ACL 2024 , pages=

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VIG-RL: Learning to Search and Insert for Verified Image Grounding InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition

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VIG-RL: Learning to Search and Insert for Verified Image Grounding MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer

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VIG-RL: Learning to Search and Insert for Verified Image Grounding Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) , address=

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VIG-RL: Learning to Search and Insert for Verified Image Grounding D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; et al

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VIG-RL: Learning to Search and Insert for Verified Image Grounding M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

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VIG-RL: Learning to Search and Insert for Verified Image Grounding Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

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VIG-RL: Learning to Search and Insert for Verified Image Grounding ANOLE: An Open, Autoregressive, Native Large Multimodal Models for Interleaved Image-Text Generation

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VIG-RL: Learning to Search and Insert for Verified Image Grounding Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

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VIG-RL: Learning to Search and Insert for Verified Image Grounding DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

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VIG-RL: Learning to Search and Insert for Verified Image Grounding DeepEyesV2: Toward Agentic Multimodal Model

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VIG-RL: Learning to Search and Insert for Verified Image Grounding OpenAI o1 System Card

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VIG-RL: Learning to Search and Insert for Verified Image Grounding Multi-modal Retrieval Augmented Multi-modal Generation: Datasets, Evaluation Metrics and Strong Baselines

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VIG-RL: Learning to Search and Insert for Verified Image Grounding M2IO-R1: An Efficient RL-Enhanced Reasoning Framework for Multimodal Retrieval Augmented Multimodal Generation

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VIG-RL: Learning to Search and Insert for Verified Image Grounding MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval

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