2 citations · 4 across the 5 of their papers we have counts for
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cs.AI2026
A Rubric-Supervised Critic from Sparse Real-World Outcomes
Xingyao Wang, Valerie Chen, Heng Ji +1
Academic benchmarks for coding agents tend to reward autonomous task completion, measured by verifiable rewards such as unit-test success. In contrast, real-world coding agents ope…
cs.AI2025★ 1 cited
The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks
Alejandro Cuadron, Dacheng Li, Wenjie Ma +13
Large Reasoning Models (LRMs) represent a breakthrough in AI problem-solving capabilities, but their effectiveness in interactive environments can be limited. This paper introduces…