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S. Sheshappanavar

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Preprint Aug 2026

PlanSightRAG: A Visual-First Multimodal RAG for Automating Question Answering and Compliance Checking for Civil Standard Plans

Civil infrastructure compliance checking has long relied on engineers manually reading legacy 2D plans; however, OCR-based automation strips away the geometry and layout essential for interpreting these plans. We present a Visual-First Multimodal Retrieval-Augmented Generation (RAG) framework called PlanSightRAG. It in...

N. Subedi, S. Datta, A. Abdelaty et al. · 0 citations
#natural language process... Preprint Sep 2026

Linger and Lose: Knowledge Collapse in Low-Bit Language Models

This work measures knowledge capacity, the factual bits stored per parameter, on synthetic biographies with known information content and suggests judging low-precision training by retained capacity during training rather than final loss.

Prashanna Mani Paudel, S. Sheshappanavar · 0 citations

Parameter Golf: What Really Works?

It is shown that most techniques'gains shrink when re-measured among competitive submissions, isolating the few methods that help regardless of the surrounding stack, and that most techniques'gains shrink when re-measured among competitive submissions.

Prashanna Mani Paudel, S. Sheshappanavar · 0 citations
Review Aug 2026

Object Counting Across Modalities: Taxonomies, Benchmarks, Applications, and Open Challenges

A five-axis taxonomy (modality, mechanism, prompting, supervision level, and generalization setting) is introduced to audit the literature across application domains, including microscopy, remote sensing, crowd counting, and agriculture, and formalizes prevailing challenges into six structural contradictions.

Joana Konadu Owusu, S. Sheshappanavar · 0 citations

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