Author

Jun-Jie Wu

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#artificial intelligence Preprint Sep 2026

Beyond Outcomes: Dual-View Relational Learning for Efficient Agent Benchmarking

Agent benchmarks are substantially more costly to evaluate than conventional LLM benchmarks. Benchmark compression is therefore a natural solution, yet existing methods primarily model redundancy in task--model final-score distributions, which is important in agentic evaluation. To address this limitation, we analyze l...

Xin-Shuai Guo, Jun-Jie Wu, Dolly Deng et al. · 0 citations

#artificial intelligence Preprint Sep 2026

StrixAE: An Intelligent Agent for Audio Enhancement under Complex Distortion Coupling in Real-World Scenarios

StrixAE, an agent based on a multimodal large language model (MLLM), outperforms most existing open-source and proprietary solutions, achieving state-of-the-art performance across multiple perceptual metrics and demonstrating strong generalization robustness.

Cheng-Lin Wu, Jun-Jie Wu, Jin-Hang Chen et al. · 0 citations