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cs.LG2026
SLDBench v2: Active Scaling Law Discovery
Lingbei Meng, Rui Huang, Zhirong Shen +5
Scaling laws predict large-model performance from small experiments, but finding a reliable law itself requires costly experiments. SLDBench tests whether language-model agents can…
cs.LG2026
FC-SWE: Failure-Conditioned RL for Long-Horizon Software Engineering Agents
Jia Liufu, Bin Hu, Linglin Jing +5
Repository-level software engineering (SWE) is a challenging long-horizon setting: agents must reason over extended interactions, use tools, and adapt to stateful environments. Rec…