3 papers
cs.IR2026
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
Minhan Cho, Soyoung Park, Daejin Choi +1
We present the ABAI submission to COLIEE 2026 Task 1, case law retrieval, together with a controlled study of why it underperformed. The task suppresses the cited passages themselv…
cs.AI2026
Reproducing and Stress-Testing Two Approaches to LLM Reasoning Reliability: Test-Time Probability Aggregation and Logic-Representation Editing
Minhan Cho, Jimin Kweon
We independently reproduce two recent methods for making large language model (LLM) reasoning more reliable, and stress-test them across domains and models (RPC across four new tas…
cs.AI2026
LLM within MCP Matters: Measuring Inefficient Resource Utilization Driven by LLMs
Minhan Cho, Soyoung Park, Kihyeon Jeong +3
The Model Context Protocol (MCP) standardizes how servers expose data and tools to Large Language Models (LLMs). A common server design embeds frequently used reference data, such…