Papers with image caption

2 papers
Visual Named Entity Linking: A New Dataset and A Baseline (2022.findings-emnlp)

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Challenge: Existing tasks in Visual Entity Linking (VEL) rely on textual data to complement multi-modal linking or only link objects with general entities.
Approach: They propose a task to link regions of images with corresponding entities in Knowledge Bases . they propose three sub-tasks, based on a human-annotated visual person dataset .
Outcome: The proposed task is based on a human-annotated visual person linking dataset . the proposed sub-tasks are validated on the WIKIPerson dataset based upon the proposed methods .
TokenPenalty: Alleviating Attention Sinks and Positional Decay in LVLMs (2026.findings-acl)

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Challenge: Multimodal large language models (MLLMs) often hallucinate due to two relevant phenomena: massive activation phenomenon and positional information decay.
Approach: They propose a token-level intervention strategy that dynamically suppresses irrelevant visual tokens while preserving key contextual signals.
Outcome: Experiments show that TokenTruth significantly improves factual consistency across MLLMs on standard image understanding benchmarks.

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