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20232026
most citedMake a Choice! Knowledge Base Question Answering with In-Context Learning

4 citations · 4 across the 9 of their papers we have counts for

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cs.LG2026

Learn from Move: the Next Step for GUI Agents

Jiahao Lu, Yize Shen, Chuanyuan Tan +6

Existing benchmarks for GUI agents primarily focus on increasing task difficulty by extending task horizons. Besides, enabling agents to explore unfamiliar environments and success…

cs.LG2026

MARCO: Multi-Round Agentic Reinforcement for Conditional Molecular Optimization

Shicheng Fang, Yuxin Wang, Zhuo Yang +6

Molecular optimization is inherently iterative: a candidate is proposed, evaluated against several objectives, and revised while preserving a relationship to the source molecule. M…