Author

Fantine Huot

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#machine learning Dec 2025

Learning Steerable Clarification Policies with Collaborative Self-play

This work uses Reinforced Self-Training (ReST) to train the model to achieve high reward and shows this leads to a steerable policy that changes its behavior predictably conditioned on the provided costs, leading to higher reward and accuracy.

Jonathan Berant, M. Chen, Adam Fisch et al. · arXiv.org · 6 citations · ⚡2

Preprint Aug 2026

Pandora's AI Model Routing Box: Efficient Allocation with Costly Value Estimation

Experiments across three domains show that Pandora's Router matches the routing quality of exhaustive estimation, while querying the expensive estimator far less often.

Adam Fisch, Shubhendu Trivedi, Fantine Huot et al. · 1 citation

Jul 2026

When is Routing Meaningful? Diversity and Robustness in Language Model Societies

Routing policies for multi-model systems are evaluated almost exclusively on task accuracy and inference cost. We argue that two properties, orthogonal to performance, determine whether routing is meaningful. First, the society of actors must be behaviourally differentiated: if all actors respond identically, routing i...

Fantine Huot, Michael Kaisers, Mirella Lapata · arXiv.org · 0 citations