5 papers
Making Large Language Models Speak Tulu: Structured Prompting for an Extremely Low-Resource Language
Prathamesh Devadiga, Paras Chopra
Can large language models converse in languages virtually absent from their training data? We investigate this question through a case study on Tulu, a Dravidian language with over…
Small Language Models as Compiler Experts: Auto-Parallelization for Heterogeneous Systems
Prathamesh Devadiga
Traditional auto-parallelizing compilers, reliant on rigid heuristics, struggle with the complexity of modern heterogeneous systems. This paper presents a comprehensive evaluation…
SAMVAD: A Multi-Agent System for Simulating Judicial Deliberation Dynamics in India
Prathamesh Devadiga, Omkaar Jayadev Shetty, Pooja Agarwal
Understanding the complexities of judicial deliberation is crucial for assessing the efficacy and fairness of a justice system. However, empirical studies of judicial panels are co…
MorphNAS: Differentiable Architecture Search for Morphologically-Aware Multilingual NER
Prathamesh Devadiga, Omkaar Jayadev Shetty, Hiya Nachnani +1
Morphologically complex languages, particularly multiscript Indian languages, present significant challenges for Natural Language Processing (NLP). This work introduces MorphNAS, a…
RegimeNAS: Regime-Aware Differentiable Architecture Search With Theoretical Guarantees for Financial Trading
Prathamesh Devadiga, Yashmitha Shailesh
We introduce RegimeNAS, a novel differentiable architecture search framework specifically designed to enhance cryptocurrency trading performance by explicitly integrating market re…