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reward-models

topic2 events
papersTODAY 04:00 UTC

arXiv paper proposes reward models for legal grounding and abstention

A new arXiv preprint introduces reward models designed to train language models to cite retrieved evidence when answering legal questions and to decline when that evidence is inadequate. The authors note that most existing reward models are not built for these high-stakes requirements. The work targets legal applications where unsupported or fabricated answers carry significant risk.

papersSEP 10 04:00 UTC

No Free Checker: A Survey of Verifiers for Robot Policies

A new survey paper catalogues methods that score robot behaviors, ranging from success detectors and reward models to runtime monitors. It examines how these verification approaches serve two roles: evaluating vision-language-action policies and providing training signals for them. The work appears on arXiv, cross-listed between the AI and machine learning categories.