Author

Anubhav Shrimal

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#machine learning Preprint Sep 2026

TACTICS: Taxonomy-Aware Intelligent Corpus Sampling for Machine Translation

Large-scale machine-translation (MT) systems are typically evaluated on random samples from a corpus whose distributional composition is an artifact of how it was assembled. Such a sample inherits the phenomena the collection happens to contain rather than the full space a system must handle, spanning rule-governed con...

Prasanth Bathala, Anubhav Shrimal, S. Kharbanda et al. · 0 citations

#machine learning Preprint Sep 2026

StalePO: Anchored Token-Level Preference Optimization using Legacy Post-Edits in Machine Translation

StalePO is introduced, an objective derived from three requirements this regime imposes that improves the fraction of segments passing all LLM-as-judge MQM quality checks by 14.9 and 4.6 percentage points, respectively, with gains concentrated on style and fluency.

Rohit Dhaipule, Sukhdeep Singh Kharbanda, Prasanth Bathala et al. · 0 citations