4 papers
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…
Demystifying ChatGPT: How It Masters Genre Recognition
Subham Raj, Sriparna Saha, Brijraj Singh +1
The introduction of ChatGPT has garnered significant attention within the NLP community and beyond. Previous studies have demonstrated ChatGPT's substantial advancements across var…
KANITE: Kolmogorov-Arnold Networks for ITE estimation
Eshan Mehendale, Abhinav Thorat, Ravi Kolla +1
We introduce KANITE, a framework leveraging Kolmogorov-Arnold Networks (KANs) for Individual Treatment Effect (ITE) estimation under multiple treatments setting in causal inference…
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…