78 citations · 169 across the 10 of their papers we have counts for
7 papers · 1 filter
Back-Translation Still Matters: Leveraging Monolingual Data for Low-Resource Machine Translation with LLMs
Divyanshu Bathla, Parag Singla, Jitin Singla
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 f…
Teaching LLMs to Generate Challenging MILP Instances via Solver Feedback
Jitin Singla, Parikshit Pareek, Pratik Jawanpuria +1
Generating optimization instances that are both feasible and computationally challenging is crucial for benchmarking solvers and training learning-based optimization algorithms. Ex…
Cross-Model Agreement as a Deployment-Time Reliability Signal for Automatic Polyp Segmentation
Siddharth Gupta, Jitin Singla
In real-time colonoscopy, ground-truth annotations are unavailable at inference, so polyp segmentation models can fail silently. We propose Referee-Based Quality Estimation (RBQE),…
Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling
Anuj Pal, Raunak Kumar, Dhruvi Solanki +3
Antimicrobial peptides (AMPs) often act against multiple pathogen classes, making multi-label activity prediction a more realistic screening target than binary antimicrobial classi…
FiRe: Frequency Reparameterization as a Preconditioner for Periodic Implicit Neural Representations
Harinandan Shukla, Rajarshi Verma, Jitin Singla
Periodic Implicit Neural Representations (INRs) such as SIREN and FINER assign every neuron, the same global frequency, spending the representational budget inefficiently when loca…
Samasāmayik: A Parallel Dataset for Hindi-Sanskrit Machine Translation
N J Karthika, Keerthana Suryanarayanan, Jahanvi Purohit +3
We release Samasāmayik, a novel, meticulously curated, large-scale Hindi-Sanskrit corpus, comprising 92,196 parallel sentences. Unlike most data available in Sanskrit, which focuse…
Pathology-Aware Multi-View Contrastive Learning for Patient-Independent ECG Reconstruction
Youssef Youssef, Jitin Singla
Reconstructing a 12-lead electrocardiogram (ECG) from a reduced lead set is an ill-posed inverse problem due to anatomical variability. Standard deep learning methods often ignore…