3 papers
cs.CL2025
From What to Why: Thought-Space Recommendation with Small Language Models
Prosenjit Biswas, Pervez Shaik, Abhinav Thorat +2
Large Language Models (LLMs) have advanced recommendation capabilities through enhanced reasoning, but pose significant challenges for real-world deployment due to high inference c…
cs.AI2024
I See, Therefore I Do: Estimating Causal Effects for Image Treatments
Abhinav Thorat, Ravi Kolla, Niranjan Pedanekar
Causal effect estimation under observational studies is challenging due to the lack of ground truth data and treatment assignment bias. Though various methods exist in literature f…
cs.SD2023
MParrotTTS: Multilingual Multi-speaker Text to Speech Synthesis in Low Resource Setting
Neil Shah, Vishal Tambrahalli, Saiteja Kosgi +2
We present MParrotTTS, a unified multilingual, multi-speaker text-to-speech (TTS) synthesis model that can produce high-quality speech. Benefiting from a modularized training parad…