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HANS: A Handwritten Answer Sheet Dataset for Noisy Hybrid Document Parsing

Paper recorded by Signals 4 on 2026-10-08 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-08 on arXiv · recorded by Signals 4 on 2026-10-09

Category: cs.AI · 人工智能 · first seen 2026-10-09

Abstract

Intelligent grading and automated scoring technologies constitute critical infrastructure for smart education. However, existing document parsing and handwriting recognition benchmarks are predominantly designed for well-structured printed documents or isolated mathematical expressions, lacking datasets that capture the complex characteristics inherent to student answer sheets, including multi-lin

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#377 most recent of 960 cs.AI papers we have recorded · ↑ newer: OnTrack: Real-Time Monitoring and Intervention in LLM Agent Trajectori · ↓ older: Cited but Not Consulted: A Counterfactual Audit of Legal Chain-of-Thou
Cite this page: HANS: A Handwritten Answer Sheet Dataset for Noisy Hybrid Document Parsing: the #377 most recent of 960 cs.AI papers we have recorded (as of 2026-10-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/hans-a-handwritten-answer-sheet-dataset-for-noisy-hybrid-document-parsing.html
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