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J. Liew

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#artificial intelligence Preprint Oct 2026

GIFT-Eval-CTX: A Benchmark For Contextual Forecasting Model Evaluation

Contextual forecasting seeks to improve time series forecasting by incorporating forward-looking information, such as planned events, external conditions, and expert expectations. However, reliable evaluation remains difficult: existing benchmarks often have limited domain coverage, lack standardized history-future spl...

Xu Liu, Han-Shu Yan, Taha İbrahim Aksu et al. · 0 citations
Jul 2026

StateAct: Program State, before Pixels, for Long-Horizon Computer-Use Agents

Grounding action, verification, and memory in state, what the authors call state-grounding, shifts the main bottleneck from perception toward reasoning: failures depend more on what the agent thinks than on what it sees.

Yan Yang, Xiang-Ru Jian, Ziyang Luo et al. · 4 citations
Preprint Aug 2026

MCP-Universe RL: A Framework for Training MCP Tool-Use Agents via Reinforcement Learning

This work trains software-engineering, deep-research, and general tool-use agents on gpt-oss-20b and improves task reward in all three and presents MCP-Universe RL (MCP-U RL), an open-source framework that takes over both.

Ziyang Luo, Yan Yang, Xiang-Ru Jian et al. · 0 citations
Open access Jul 2026

Cryo-electron microscopy structure of Jabs, a bacteriophage infecting the multidrug-resistant pathogen Mycobacterium abscessus

Exploring bacteriophage structural diversity is essential for understanding phage biology and for advancing phage-based therapies. Here, we determine the cryo-electron microscopy structure of Jabs, providing, to our knowledge, the first high-resolution view of a phage infecting the multidrug-resistant human pathogen My...

Christian Cambillau, Jun Hao Liew, Bernice Siu Yan Tan et al. · 0 citations

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