Author

Parag Singla

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#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

#computer vision Preprint Aug 2025

The Percept-V Challenge: Can Multimodal LLMs Crack Simple Perception Problems?

Percept-V is introduced, a dataset containing 6000 program-generated uncontaminated images divided into 30 domains, where each domain tests one or more TVPS-4 skills, and shows a weak performance of SoTA proprietary and open-source MLLMs compared to very high human performance on Percept-V.

Sam Ghosh, Ashish Goswami, Naman Agarwal et al. · 0 citations