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Ibne Farabi Shihab

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Preprint Aug 2026

Stateful CARS: Exact Cross-History Reuse for Policy-Constrained LLM Agents

The evidence supports exact schema-induced conditioning, not a systems advantage over CARS, and the evaluated method makes no generic finite-trie scalability claim.

Ibne Farabi Shihab, Md Najmus Swaqeeb, Abu Sa-Adat Mohamed Moon-Im Al Ahsan · 0 citations
Preprint Aug 2026

Quality-Diversity Stress Tests for Process Reward Models:What Archive Coverage Can and Cannot Certify

This work formulate PRM stress testing as a quality-diversity search problem using MAP-Elites, retaining the most severe correctness-flipping edit in each behavior-space region while separating search coverage from exploit coverage, and characterize what such archives certify.

Ibne Farabi Shihab, Fariya Afrin · 0 citations
Preprint Aug 2026

CODS: Iterative Bellman-Residual Data Selection for Reusable Offline Reinforcement Learning

CODS is introduced, a critic-guided selector that alternates between fitting an algorithm-matched critic and acquiring high-residual transitions before freezing a reusable subset, a reusable selection procedure, not a formal coreset guarantee.

Ibne Farabi Shihab, Sanjeda Akter, Abu Sa-Adat Mohamed Moon-Im Al Ahsan et al. · 0 citations
Preprint Aug 2026

FlowNeg: GFlowNet-Guided Diverse Hard Negative Sampling for Knowledge Graph Embedding

FlowNeg is introduced, a context-conditioned hierarchical generative flow network that amortizes reward-proportional sampling without normalizing a composite reward over the entity set: given a positive triple and corruption side, it selects a type, then an entity.

Ibne Farabi Shihab, Naoshin Anzum Hridi, Joyanta J. Mondal · 0 citations
Preprint Aug 2026

Opportunity Is Not Realizability: Selection-Valid Diagnostics for Multi-LLM Routing

The realizable share of oracle opportunity is small and certifiable: strong routers beat the best fixed model, and most of the gap remains, while the selection-valid confidence intervals are small and certifiable.

Ibne Farabi Shihab, Abu Sa-Adat Mohamed Moon-Im Al Ahsan, Md Najmus Swaqeeb · 2 citations
Preprint Aug 2026

The Cost of Adaptivity: Matching Lower Bounds Across Learning Problems

A finite-horizon composition law for Gaussian certification from M independent coordinates, a familywise certifier protecting every coordinate and time up to T pays optimal normalized squared half-width of order log(eM) + log log(e^eT), within the sample-mean-centered rectangular class.

Ibne Farabi Shihab, Adria Binte Habib · 0 citations

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