Author

Peng Wang

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Preprint Oct 2026

MiDashengLM-Spatial: Unifying General Audio Understanding and Spatial Awareness

Large audio-language models (LALMs) have achieved strong performance in general audio understanding, yet most are designed for monaural input and discard the inter-channel cues essential for spatial perception. In contrast, existing spatial audio-language models are purpose-built for spatial tasks and fail to capitaliz...

Jin-Bo Hu, Hang Su, Li-Chun Fan et al. · 0 citations

Preprint Sep 2026

Beyond Attention Imbalance: Mitigating Hallucinations via Spectral Surgery

While Large Vision-Language Models (LVLMs) achieve remarkable success, hallucinations remain a significant barrier to their reliable deployment. Recent studies primarily attribute these issues to cross-modal attention imbalances; most solutions therefore focus on reweighting visual tokens or suppressing language priors...

Si-Qi Lu, Suo Wei, Yong-Bin Zheng et al. · 0 citations