Author

Yan-Yan Zhang

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Preprint Aug 2026

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility

This empirical study covers broad knowledge, symbolic reasoning, and competition mathematics, and it introduces an evaluation profile whose coordinates and simple functionals recover or bound common repeated-sampling metrics, and require compute accounting and uncertainty estimates that match the protocol.

Mohsen Hariri, Weicong Chen, Nahal Shahini et al. · 5 citations · ⚡1

Preprint Aug 2026

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility

Large language models can solve substantially harder reasoning problems with more inference-time compute. The term"test-time scaling,"however, now covers diverse inference algorithms that extend deliberation along a single trajectory, sample completed candidates and aggregate them through voting or verification, or sea...

Mohsen Hariri, Weicong Chen, Nahal Shahini et al. · 4 citations

Preprint Aug 2026

Imagining Recovery: Inference-Time Counterfactual Realignment for Vision-Language-Action Models

Counterfactual Realignment (CoRe), a training-free framework that recovers a frozen VLA at inference time without failure data, is proposed, a training-free framework that recovers a frozen VLA at inference time without policy fine-tuning or failure-specific recovery training.

Yan-Yan Zhang, Disheng Liu, Kai Ye et al. · 0 citations