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CHENGXIAO DAI

2 accepted papers

2026

CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering

ICLR 2026poster

Knowledge graphs provide structured context for multi‑hop question answering, but deployed systems must balance answer accuracy with strict latency and cost targets while preserving provenance. Static $k$‑hop expansions and ``think‑longer'' prompting often over‑retrieve, inflate context, and yield u…

Cited by 0SourceScholar
2026

From Knowledge to Inference: Formalizing Specialized Public Health Reasoning on GlobalHealthAtlas

ICML 2026poster

Public health reasoning requires population-level inference grounded in scientific evidence, expert consensus, and safety constraints. However, it remains underexplored as a structured machine learning problem with limited supervised signals and benchmarks. We introduce GlobalHealthAtlas, a large-sc…

Cited by 0SourceScholar