Author

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. · 0 citations

#machine learning Preprint Sep 2026

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

Releasing a model update requires certifying that its current-population risk stays below a threshold. Trusted labels are expensive, while a cheap evaluator, such as an LLM judge, scores every example. Reusing evaluator errors from earlier audits is tempting, but when may such evidence replace current labels? It depend...

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