Author

Chao Zhang

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#artificial intelligence Preprint Sep 2026

Forecast-Dojo: Replayable Environments for Benchmarking and Training LLM Forecasting Agents

We introduce Forecast-Dojo, a replayable environment for benchmarking and training LLM forecasting agents. It combines resolved prediction-market questions with dated news, allowing agents to research an event and revisit their predictions at successive historical dates. The same tasks and tools support repeated evalua...

Li-Qin Ye, Hao-Rui Wang, Fardin Ahmed et al. · 0 citations

Jul 2026

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering

Experimental results on a broad range of MLE tasks with diverse model types and scales demonstrate that Matryoshka Agent is an effective and scalable paradigm for long-horizon MLE tasks and complex agentic problem solving.

Rushi Qiang, Changhao Li, Haotian Sun et al. · arXiv.org · 0 citations