Author

Ashton Anderson

2 papers indexed here

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#artificial intelligence Jun 2026

Tandem Reinforcement Learning with Verifiable Rewards

Tandem RLVR is introduced, bringing the recently proposed tandem-training paradigm beyond proof-of-concept settings and into modern RLVR, and initial evidence that tandem rollout structure is a promising direction for keeping RLVR reasoning gains accessible to weaker partners is provided.

Di-Fan Jiao, Raghav Singhal, Robert West et al. · arXiv.org · 0 citations

#artificial intelligence Preprint Sep 2026

Agent Safety From Within: Detecting Harmful Trajectories from LLM Internal States

This work investigates how open-source guard models represent two types of trajectory-level agentic harms and finds that they are linearly readable inside the model, even though guard models predict no better than chance on pairs that differ only in the called tool's schema.

Di-Fan Jiao, Ashton Anderson · 0 citations