Author

Tianyou Wang

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Conference Jul 2026

AutoQABench: A Three-Level UX Benchmark for Automated Evaluation of Open-Ended LLM Responses

Evaluating open-ended large language model responses remains difficult because response quality depends not only on factual correctness and task completion, but also on subjective and scenario-dependent user experience factors. Existing benchmarks and automatic evaluators are effective for coarse-grained assessment, ye...

Tianyou Wang, Fei Yuan, Chia-Ju Miao et al. · International Conference on... · 0 citations

#artificial intelligence Preprint Aug 2026

FM-Bench: A Benchmark for Long-Horizon Management with Competing Agents

Language model agents now execute bounded tasks reliably. Whether they can sustain effective decision-making over long horizons, where actions have cumulative consequences and the environment responds to their choices, remains largely unmeasured. FM-Bench (Football Management Benchmark) measures this. An LLM agent runs...

Tianyou Wang, Chong-Yang Gao, Ke-Zhen Chen et al. · 1 citation