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Swakkhar Shatabda

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Preprint Sep 2026

Trust propagation and structural containment in Multi-agent LLM pipelines

Multi-agent LLM systems increasingly automate tasks involving agents with different levels of privilege, creating a security risk in which a compromised low-privilege agent can influence a higher-privilege agent and trigger an unauthorized action. We study attack propagation in a four-agent LangGraph pipeline comprisin...

Tanzim Hossain Safin, Sharif Noor Zisad, S. Shatabda et al. · 0 citations
Preprint Aug 2026

Time Present and Time Past: Benchmarking Large Language Models on Temporally Evolving Document Understanding

Evolving documents, such as laws, tax codes, and software documentation, are amended, replaced, and sometimes reverted over time, so a question has different correct answers at different dates. In contrast to encyclopedic knowledge, where an old fact is simply overwritten, an amendment is itself an official text that s...

M. Sobhani, Md. Faiyaz Abdullah Sayeedi, F. Chowdhury et al. · 1 citation · ⚡1
#natural language process... Preprint Sep 2026

To What Extent Do Large Language Models Understand Bangla Idioms?

Idiomatic expressions are an integral part of natural language, reflecting cultural nuances and posing unique challenges for computational models, particularly in low-resource languages. In this paper, we present the first large-scale benchmark dataset of Bangla idioms, complemented by a synthetic multiple-choice quest...

Mousumi Akter, Md. Faiyaz Abdullah Sayeedi, Nurul Labib Sayeedi et al. · 0 citations

Do Small Models Use the Law You Give Them? Measuring Context Use on a Bilingual Bangladesh Legal Benchmark

Fine-tuning can improve legal question-answering accuracy without improving how models use law supplied in context. We study this distinction in bilingual Bangladeshi legal QA, where observed errors can arise from answer scoring, retrieval, or failure to use relevant law. We construct a hierarchy-preserving statutory c...

Moniruzzaman Mahadi, Abrarul Alam, Sayma Siddika Monalisa et al. · 0 citations
Preprint Aug 2026

Frozen but Not Always Accessible: A Representation Analysis of Genomic Language Models

A representation-accessibility analysis of frozen genomic language models across regulatory, epigenetic, promoter, splice-site, and variant-effect prediction tasks shows that local biological signal is partially present in frozen representations, but is not always accessible through final pooled embeddings.

Nirjhor Datta, Swakkhar Shatabda, M. Rahman · 0 citations

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