XiaoM at SemEval-2026 Task 7: A Qwen-based System for Accurate Retrieval of Everyday Knowledge Across Diverse Languages and Cultures
Year: 2026
Type: conference-paper
Abstract: This 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 twotrack 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.
Authors: Xiao Yao, Liang Yang
Institution: Dalian University of Technology
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7166849884