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Junyang Ji

2 accepted papers

2026

CausalLens: Sensitivity-Guided Multi-Head Causal Intervention for Hallucination Mitigation in Large Vision-Language Models

CVPR 2026

Recent Large Vision-Language Models (LVLMs) have shown impressive capabilities in multimodal understanding and generation. Despite this progress, they remain prone to *hallucination*, where model outputs conflict with the visual input due to an over-reliance on textual priors. Existing inference-tim

Cited by 0SourceScholar
2026

OmniCVR: A Benchmark for Omni-Composed Video Retrieval with Vision, Audio, and Text

ICLR 2026poster

Composed video retrieval presents a complex challenge: retrieving a target video based on a source video and a textual modification instruction. This task demands fine-grained reasoning over multimodal transformations. However, existing benchmarks predominantly focus on vision–text alignment, largel…

Cited by 0SourceScholar