5 papers
IKS-Instruct: A 24,000-Example Multilingual Dataset for Teaching Language Models Indian Knowledge Systems
Shwetha Singaravelu, Gayathri Muruganantham, Lakshmi Rajendran +1
Instruction tuning has become the standard method for adapting large language models to follow human intent, yet existing instruction datasets are dominated by English-language gen…
BHARATI: Morphology-Aware Tokenizers for Classical Indian Languages with Subword Fertility Analysis
Poornima Kumaresan, Pavithra Muruganantham, Lakshmi Rajendran +1
Standard subword tokenization algorithms such as Byte-Pair Encoding (BPE) and SentencePiece are trained predominantly on modern language corpora and produce inefficient segmentatio…
Eliminating Vendor Lock-In in Quantum Machine Learning via Framework-Agnostic Neural Networks
Poornima Kumaresan, Shwetha Singaravelu, Lakshmi Rajendran +1
Quantum machine learning (QML) stands at the intersection of quantum computing and artificial intelligence, offering the potential to solve problems that remain intractable for cla…
Adaptive Tensor Network Simulation via Entropy-Feedback PID Control and GPU-Accelerated SVD
Harshni Kumaresan, Gayathri Muruganantham, Lakshmi Rajendran +1
Tensor network methods, particularly those based on Matrix Product States (MPS), provide a powerful framework for simulating quantum many-body systems. A persistent computational c…
GPU-Accelerated Quantum Simulation: Empirical Backend Selection, Gate Fusion, and Adaptive Precision
Poornima Kumaresan, Pavithra Muruganantham, Lakshmi Rajendran +1
Classical simulation of quantum circuits remains indispensable for algorithm development, hardware validation, and error analysis in the noisy intermediate-scale quantum (NISQ) era…