Author

Zhi-Lin Liu

3 papers indexed here

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Preprint Sep 2026

OmniStepBench: Deployment-Aware Agent Evaluation across Modalities and Task Complexity

As large language models evolve from question-answering systems into general-purpose agents, evaluation must move beyond static answer correctness to assess multimodal perception, multi-step execution, tool use, and artifact delivery. However, existing benchmarks are often tied to specific task types, execution environ...

Yu Liu, Zhi-Lin Liu, Zhi-Wei Yang et al. · 0 citations

#artificial intelligence Preprint Jul 2026

Music Hallucination in Audio-Language Models: A Hierarchical Formulation and Empirical Study

This work presents the first music-specific, layer-wise, multi-paradigm empirical study of hallucination in audio-language models and forms it as a hierarchical perceptual grounding failure across five layers: sound events, temporal properties, tonal attributes, style, and emotion.

Yu Liu, Jia-Hui Liu, Zhi-Lin Liu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

DAREBench: Deployment-Aware and Reliable Evaluation of Models as Agents

DAREBench (Deployment-Aware and Reliable Evaluation of Models as Agents), a benchmark designed to capture workload variation and support reliable agent evaluation, is introduced, suggesting that agent deployment and model selection should consider workload profiles, deployment mode, and accuracy--cost trade-offs rather...

Yu Liu, Zhi-Lin Liu, Zhi-Wei Yang et al. · 0 citations