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Yuan He

University of Oxford

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#artificial intelligence Preprint Sep 2026

Rufus-Air: An Open LLM Post-Training Recipe

Rufus-Air is an open and reproducible post-training recipe on GLM-4.5-Air-Base (106B-A12B), organized as a serial pipeline of eight stages: SFT, Reasoning RL, Coding RL, Instruction-Following RL, General Agent, Coding Agent, Search Agent, and RLHF. We document the data, reward design, infrastructure, stage order, and s...

Chia-yuan Chang, Ren-Yuan Cheng, Rui Feng et al. · 0 citations
#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

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