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Wanli Li

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#artificial intelligence Preprint Oct 2026

Words to World: Benchmarking LLMs in Interactive Physical Environments

Words are increasingly becoming an interface for action: large language models (LLMs) can now invoke tools, operate devices, and make decisions that affect the physical world. However, current benchmarks largely evaluate LLMs through static text responses, offline tool calls, or simulated tasks, leaving open the questi...

Xin-Nan Dai, Kai-Qi Yang, Ya-Xing Li et al. · 0 citations

RecreationWorld: Scalable and Verifiable Environments for Hybrid Computer-Use Agents

This work introduces RecreationWorld, a five-platform framework built around recreation: given a running reference, an agent must discover its behavior and build a faithful implementation with no prescribed workflow, and introduces RecreationBench, comprising 250 diverse tasks across domains and platforms.

Shuai Bai, Jia-Yong Deng, Si-Cheng Fan et al. · 1 citation
Jul 2026

AREX: Towards a Recursively Self-Improving Agent for Deep Research

This work introduces AREX, a family of Recursively Self-Improving (RSI) deep research agents that substantially outperforms comparable-scale baselines and remains competitive with models using substantially more activated parameters.

Shuqi Lu, Chaofan Li, Kun Luo et al. · 2 citations · ⚡1

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