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cs.CL2026
Verdicts Without Annotated Evidence: Rejection Sampling or Label-Only Post-Training for Evidence Recovery?
Nishanth Nayakanti, Prasang Gupta, Ashutosh Bilthare +1
In many review workflows the verdict is the only thing retained. The passages behind it are not marked, because that annotation costs far more than recording the decision. We measu…
cs.AI2026
Litmus: Zero-Label, Code-Driven Metric Specification for Evaluating AI Systems
Prajjwal Gupta, Prasang Gupta, Vishal Bhutani +4
As agentic LLM systems move from prototypes to deployment, evaluating them has become more important and more difficult. Evaluation goals are often left implicit. Without a clear a…