XiaoM at SemEval-2026 Task 7: A Qwen-based System for Accurate Retrieval of Everyday Knowledge Across Diverse Languages and Cultures

AbstractThis paper describes our system designed for SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures. We describe a practical inference system for a two-track benchmark consisting of short-answer questions (SAQ) and multiple-choice questions (MCQ). Our submission is implemented in a single script and targets competition constraints directly: strict TSV schemas, short answer limits, and reliability under batch inference. The system uses Qwen2.5-7B-Instruct with memory-aware initialization, deterministic decoding (no sampling, zero temperature), and post-processing rules that guarantee valid outputs. We further add retry-on-failure and file-write fault tolerance to reduce runtime interruptions.