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Md. Shifatul Ahsan Apurba

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#machine learning Preprint Sep 2026

Before Answering: Evidence Sufficiency under Size-Matched Memory Construction

Agents that answer questions from compressed or retrieved memory must recognize when the evidence a query needs is no longer in memory. Benchmarks for this task usually create insufficient-evidence examples by deleting supporting passages. We show that this construction leaks the label through memory size: on MuSiQue,...

Joyanta J. Mondal, Md. Shifatul Ahsan Apurba, Mridul Banik et al. · 1 citation
#machine learning Preprint Sep 2026

When Can Old Evaluations Certify a New Model? Label-Efficient Release Decisions under Evaluator Drift

Portfolio vigilance is proposed, a sequential certifier mixing a betting expert guided by history with one that learns only from current labels; history affects only how it bets, so validity holds for any history.

Joyanta J. Mondal, Mridul Banik, Md. Shifatul Ahsan Apurba et al. · 0 citations

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