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Nouha Dziri

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#natural language process... Preprint Oct 2026

Scaling Inference-Time Compute with Teams of Coding Agents

This work builds a minimal multi-agent harness from the ground up and traces this frontier by varying, one at a time, the workflow stage at which a lead delegates to its workers (planning, implementation, or verification), the models that form the team, and the number of workers.

Keenan Samway, Daniel D'Souza, Omar Darwiche Domingues et al. · 0 citations
#artificial intelligence Review Sep 2026

Quantifying Overclaiming Propensity in Frontier LLM Agents

This work operationalizes overclaiming as a final response that reports work that the agent's own transcript shows it did not do, for example, claiming to have read a file it never opened, showing that claims of completion can conceal substantive failures.

Nolan Smyth, Yorguin-Jose Mantilla-Ramos, Pascal Junior Tikeng Notsawo et al. · 2 citations · ⚡1

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