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Jitin Singla

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Open access Oct 2026

FUNCTIONAL OUTCOME OF EARLY MOBILISATION AFTER TOTAL HIP ARTHROPLASTY

Background : Total Hip Arthroplasty (THA) is a highly successful orthopedic procedure performed to relieve pain and restore function in patients with advanced hip disorders. Early mobilization has emerged as an important component of postoperative rehabilitation aimed at enhancing recovery and reducing complications. A...

Prasad Sakhare, Himanshu Jain, Manoj Kumar et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Back-Translation Still Matters: Leveraging Monolingual Data for Low-Resource Machine Translation with LLMs

Pre-trained Large Language Model (LLMs) are effective on many tasks in zero-shot and few-shot settings. For machine translation of low-resource languages, the obvious options are few-shot prompting and fine-tuning on a small parallel set. We ask: what if moderate amounts of low-resource monolingual data are also availa...

Divyanshu Bathla, Parag Singla, Jitin Singla · 0 citations
#machine learning Preprint Sep 2026

Cross-Model Agreement as a Deployment-Time Reliability Signal for Automatic Polyp Segmentation

This study supports cross-model agreement as a practical, interpretable reliability framework for automated polyp segmentation in real-time colonoscopy by measuring agreement between a primary segmentation model and an independently trained referee on the same image.

Siddharth Gupta, Jitin Singla · 1 citation
#machine learning Open access Aug 2026

Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling

A simple, sequence-only pipeline can match and surpass leading methods by combining 330 interpretable sequence descriptors with TabPFN, a tabular foundation model that performs in-context prediction in a single forward pass without gradient-based training or hyperparameter search.

Anuj Pal, Raunak Kumar, D. Solanki et al. · 0 citations

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