6 citations · 8 across the 16 of their papers we have counts for
20 papers · 1 filter
XITE: Cross-lingual Interpolation for Transfer using Embeddings
Barah Fazili, Preethi Jyothi
Facilitating cross-lingual transfer in multilingual language models remains a critical challenge. Towards this goal, we propose an embedding-based data augmentation technique calle…
Evaluating Extremely Low-Resource Machine Translation: A Comparative Study of ChrF++ and BLEU Metrics
Sanjeev Kumar, Preethi Jyothi, Pushpak Bhattacharyya
Evaluating machine translation (MT) quality in extremely low-resource language (ELRL) scenarios poses unique challenges, as widely used metrics such as BLEU, effective in high-reso…
LASER: An LLM-based ASR Scoring and Evaluation Rubric
Amruta Parulekar, Preethi Jyothi
Standard ASR evaluation metrics like Word Error Rate (WER) tend to unfairly penalize morphological and syntactic nuances that do not significantly alter sentence semantics. We intr…
DeFTX: Denoised Sparse Fine-Tuning for Zero-Shot Cross-Lingual Transfer
Sona Elza Simon, Preethi Jyothi
Effective cross-lingual transfer remains a critical challenge in scaling the benefits of large language models from high-resource to low-resource languages. Towards this goal, prio…
Language-specific Neurons Do Not Facilitate Cross-Lingual Transfer
Soumen Kumar Mondal, Sayambhu Sen, Abhishek Singhania +1
Multilingual large language models (LLMs) aim towards robust natural language understanding across diverse languages, yet their performance significantly degrades on low-resource l…
AMPS: ASR with Multimodal Paraphrase Supervision
Abhishek Gupta, Amruta Parulekar, Sameep Chattopadhyay +1
Spontaneous or conversational multilingual speech presents many challenges for state-of-the-art automatic speech recognition (ASR) systems. In this work, we present a new technique…