Author

Bing Li

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#natural language process... Preprint Oct 2026

Event-Centric Memory with Query-Aware Graph Augmentation for Long-Term Conversational Agents

For persistent and personalized conversational agents, memory systems can enable them to remember, update, and reason over long histories by storing past interactions and retrieving relevant information. Existing memory systems typically follow two paradigms: flat-structured memory and graph-based memory. The former is...

Yi-Chen Liu, Chun-Feng Yuan, Hao-Wei Liu et al. · 0 citations

#natural language process... Preprint Sep 2026

Schema-Anchored Latent Reasoning for Semantic Parsing-Based Knowledge Base Question Answering

SALR is proposed, a schema-anchored latent reasoning method for LF construction that performs multi-step reasoning by generating continuous thoughts in the model's hidden states, thereby delaying the explicit commitment to LF decisions.

Guang-Ze Gao, Zi-Xuan Li, Si-Kui Zhang et al. · 0 citations

Jul 2026

MMAgent-R2: Learning to Rerank and Reject for Agentic mRAG

MMAgent-R$^2$, an agentic mRAG framework that integrates visual reranking and active rejection as its internal verification mechanism, is proposed and achieves joint optimization of external retrieval, internal verification, and answer generation via GRPO training.

Tao Zhang, Ziqi Zhang, Zongyang Ma et al. · arXiv.org · 0 citations

Jul 2026

Gaussian Mixture Modeling for Event-Aware Visual Allocation in Long Video Understanding

Gaussian Mixture Modeling for Event-Aware Visual Allocation is proposed, which leverages Gaussian Mixture Models to model event-level structure from discrete frame-wise observations and achieves comparable performance to baseline selection methods while utilizing only approximately half of the visual token budget.

Yifan Lu, Ziqi Zhang, C. Yuan et al. · arXiv.org · 0 citations

SRA-Det: Learning Omni-Grained Open-Vocabulary Detection Beyond Category Names

A Semantic-Retrieval-Augmented Detector (SRA-Det) is proposed that uses an attention-based module to retrieve multiple semantic facets from token-level text features, and a soft-min matching rule that behaves like a differentiable logical AND over these facets, ensuring that all key attributes are satisfied.

Li Yang, Boyu Cai, Wei Liu et al. · 1 citation