4 papers
Omni-Decision: A Progressive Evidence-State Agent System for Omni-Modal QA
Ming Ma, Yi Zhu, Yiran Zhong +6
The paper introduces Omni-Decision, a training‑free system that keeps a structured evidence state to guide agents in gathering and validating omni‑modal information (videos, audio,…
Covering the Unseen: Information Demand Coverage Optimization for Retrieval-Augmented Generation
Bingxue Zhang, Jianying Jia, Feida Zhu
Retrieval-augmented generation (RAG) typically treats context selection as ranking chunks against a single query embedding. This assumption breaks down for complex queries, such as…
LineageMark: Multi-user White-box Watermarking for Contribution Tracing in Model Derivation Chains
Bingxue Zhang, Xiaofeng Xu, Feida Zhu
In open large language model (LLM) ecosystems, models are frequently adapted across multiple domains and applications, forming multi-stage derivation chains. Consequently, tracking…
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy Data
Weiran Pan, Wei Wei, Feida Zhu +1
We propose a novel sample selection method for image classification in the presence of noisy labels. Existing methods typically consider small-loss samples as correctly labeled. Ho…