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#small language model Open access Aug 2026

Training-free counterfactual hallucination mitigation method for large vision-language models

This work proposes CounterfactualLVLM, a training-free and plug-and-play framework that mitigates object hallucinations via small-model-assisted counterfactual reasoning and highlights the power of counterfactual guidance as a simple yet effective paradigm for enhancing factual grounding in LVLM-based multi-modal reasoning.

Xilin Li, Boyue Wang, Xiaoqian Ju et al. · 0 citations