77 citations · 135 across the 21 of their papers we have counts for
5 papers · 1 filter
VerityMath: Advancing Mathematical Reasoning by Self-Verification Through Unit Consistency
Vernon Toh Yan Han, Ratish Puduppully, Nancy F. Chen
Large Language Models (LLMs), combined with program-based solving techniques, are increasingly demonstrating proficiency in mathematical reasoning. For example, closed-source model…
A Comprehensive Analysis of Adapter Efficiency
Nandini Mundra, Sumanth Doddapaneni, Raj Dabre +3
Adapters have been positioned as a parameter-efficient fine-tuning (PEFT) approach, whereby a minimal number of parameters are added to the model and fine-tuned. However, adapters…
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages
Jay Gala, Pranjal A. Chitale, Raghavan AK +11
India has a rich linguistic landscape with languages from 4 major language families spoken by over a billion people. 22 of these languages are listed in the Constitution of India (…
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation
Aswanth Kumar, Ratish Puduppully, Raj Dabre +1
Large language models have demonstrated the capability to perform on machine translation when the input is prompted with a few examples (in-context learning). Translation quality d…
Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models
Ratish Puduppully, Anoop Kunchukuttan, Raj Dabre +2
This study investigates machine translation between related languages i.e., languages within the same family that share linguistic characteristics such as word order and lexical si…