Yiqun Liu
4 papers · Latest:
Enhancing Judgment Document Generation via Agentic Legal Information Collection and Rubric-Guided Optimization
Judge-R1 enhances LLM-based judgment document generation through agentic legal information collection and rubric-guided optimization, improving accuracy.
Decoupling Knowledge and Task Subspaces for Composable Parametric Retrieval Augmented Generation
This paper introduces Orthogonal Subspace Decomposition (OSD) to disentangle task and knowledge in PRAG, improving compositional robustness.
Skill Retrieval Augmentation for Agentic AI
This paper introduces Skill Retrieval Augmentation (SRA) for LLM agents, enabling dynamic skill retrieval from large corpora and presenting SRA-Bench for evaluation.
Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation
This paper proposes a hierarchical indexing method using cross-attention and residual quantization to efficiently scale large-scale retrieval models for recommendations.
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