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Weiming Lu

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Conference Open access 2026

Experience-driven Multi-turn Reinforcement Learning for GUI Agents

EMPO achieves substantial gains over the base model and achieves competitive performance against strong baselines such as UI-TARS-7B and GPT-4o, demonstrating better generalization than prior single-turn RL approaches.

Zhengxi Lu, Jiabo Ye, Fei Tang et al. · 0 citations
Conference Open access 2026

AutoTaskEval: Towards Domain-Specific and Fine-Grained Evaluation for LLMs

An automated framework that constructs domain-specific benchmarks directly from unstructured corpora and systematically discovers tasks, enriches contextual grounding via iterative Socratic prompting, and generates diverse, progressively challenging evaluation instances that preserve established model-level evaluation trends are proposed.

Qingqing Lyu, Linjuan Wu, Yongliang Shen et al. · 0 citations