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Minhan Cho

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#artificial intelligence Preprint Aug 2026

ABAI at COLIEE 2026 Task 1: Multi-Stage Retrieval with GraphRAG-Enhanced Meta-Learning, and a Post-Hoc Study of the Cross-Validation-to-Test Gap

The ABAI submission to COLIEE 2026 Task 1, case law retrieval is presented, together with a controlled study of why it underperformed, and four evaluation artifacts are document, each of which reversed a result once the protocol was corrected.

Minhan Cho, Soyoung Park, Daejin Choi et al. · 0 citations
Preprint Aug 2026

LLM within MCP Matters: Measuring Inefficient Resource Utilization Driven by LLMs

Per-server prompt engineering is therefore a workaround rather than a fix; it is argued that MCP host applications should provide an explicit mechanism that places server instructions ahead of tool selection in the client LLM's deliberation.

Minhan Cho, Soyoung Park, Kihyeon Jeong et al. · 0 citations

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