Author

Zesheng Yang

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Preprint Aug 2026

Listen, See and Track: Spatio-Temporal Audio-Visual Sound Event Reasoning for Omni-Modal Language Models

ST-Omni-R1 is proposed, which integrates FOA-derived semantic and trajectory representations with panoramic visual context and is trained through progressive curriculum learning and reasoning-tree reinforcement learning, and results on three public spatial-audio benchmarks indicate that its learned spatial and motion representations transfer beyond ST-OmniQA.

Zhi Zeng, Cheng Zhang, Ze-Sheng Yang et al. · 2 citations

Preprint Aug 2026

QUMem: Personalized Memory for Query-Conditioned User-State Inference in LLM Agents

A structured memory framework for query-conditioned user-state inference for long-term personalization that achieves state-of-the-art performance on both PersonaMem and KnowU-Bench, demonstrating the effectiveness of query-conditioned user-state inference for long-term personalization.

Heng Wang, Yifei Li, Lingling Zhang et al. · 0 citations

Preprint Aug 2026

GLaQ: Grounding Latent Queries in Visual Evidence for Multimodal Reasoning

GLaQ, a grounded latent-query framework that replaces sequential latent rollout with a fixed set of context-conditioned queries grounded in the original visual tokens, is introduced, suggesting that direct query-to-image grounding can recover localized evidence from the full image without external visual operations or autoregressive latent rollouts.

Ze-Sheng Yang, Lingling Zhang, Xinyu Zhang et al. · 0 citations