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Dilara Soylu

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#natural language process... Preprint Oct 2026

DuoDiscover: Scaling Autonomous Discovery Beyond the Evaluation Bottleneck

Evaluation has been central to advances in AI, and it is equally critical to autonomous discovery. Yet scaling autonomous discovery to real-world engineering challenges faces a fundamental bottleneck: the cost of evaluating progress. In real settings, a single true evaluation, such as a full benchmark or serving trace,...

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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