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20242026
most citedA Survey of Reinforcement Learning for Large Reasoning Models

2 citations · 4 across the 8 of their papers we have counts for

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cs.CL2026

Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering

Junlin Yang, Che Jiang, Yu Fu +21

Recursive self-improvement (RSI) requires AI systems that improve the process of building AI (i.e., AI4AI); machine learning engineering (MLE) offers a concrete, executable testbed…

cs.AI2026★ 1 cited

AgentCPM-Explore: Realizing Long-Horizon Deep Exploration for Edge-Scale Agents

Haotian Chen, Xin Cong, Shengda Fan +16

While Large Language Model (LLM)-based agents have shown remarkable potential for solving complex tasks, existing systems remain heavily reliant on large-scale models, leaving the…