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Dilara Soylu

2 papers indexed here

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#natural language process... Preprint Oct 2026

DuoDiscover: Scaling Autonomous Discovery Beyond the Evaluation Bottleneck

DuoDiscover enables autonomous optimization from software to chip architecture, and surpasses both AlphaEvolve-based ArchAgent v2 and the best human design, with 1.65 times the gain on a CPU microarchitecture optimization task with evaluations of up to 28 hours.

Shubham Agarwal, Akshat Gupta, M. Heddes et al. · 0 citations
Preprint Aug 2026

One Frozen Simulator Is Not Enough: Simulator Collapse in Multi-Agent RL

The results suggest that the diversity of the training environment, not only the policy, is critical to the generalization of multi-turn RL to real-world deployment, and releases SCOPE, an open-source framework for Population Co-Training multi-agent RL.

Simon Yu, Nicholas Tomlin, Marwa Abdulhai et al. · 2 citations

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