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Mahi Luthra

3 accepted papers

2025

LongTail-Swap: benchmarking language models’ abilities on rare words

EMNLP 2025

Children learn to speak with a low amount of data and can be taught new words on a few-shot basis, making them particularly data-efficient learners. The BabyLM challenge aims at exploring language model (LM) training in the low-data regime but uses metrics that concentrate on the head of the word di

2024

MusicFlow: Cascaded Flow Matching for Text Guided Music Generation

ICML 2024poster

We introduce MusicFlow, a cascaded text-to-music generation model based on flow matching. Based on self-supervised representations to bridge between text descriptions and music audios, we construct two flow matching networks to model the conditional distribution of semantic and acoustic features. Ad…

Cited by 9Source ↗PDF ↗Scholar ↗
2024

On the Open Prompt Challenge in Conditional Audio Generation

ICASSP 2024accepted

Text-to-audio generation (TTA) produces audio from a text description, learning from pairs of audio samples and hand-annotated text. However, commercializing audio generation is challenging as user-input prompts are often under-specified when compared to text descriptions used to train TTA models. I…

Cited by 0Source ↗Scholar ↗