5 papers
Skip-It? Theoretical Conditions for Layer Skipping in Vision-Language Models
Max Hartman, Vidhata Jayaraman, Moulik Choraria +2
Vision-language models achieve incredible performance across a wide range of tasks, but their large size makes inference costly. Recent work has shown that multimodal processing co…
Watermarking Discrete Diffusion Language Models
Avi Bagchi, Akhil Bhimaraju, Moulik Choraria +2
Watermarking has emerged as a promising technique to track AI-generated content and differentiate it from authentic human creations. While prior work extensively studies watermarki…
DeepInsert: Early Layer Bypass for Efficient and Performant Multimodal Understanding
Moulik Choraria, Xinbo Wu, Akhil Bhimaraju +5
Hyperscaling of data and parameter count in LLMs is yielding diminishing improvement when weighed against training costs, underlining a growing need for more efficient finetuning a…
Dynamic Batching of Online Arrivals to Leverage Economies of Scale
Akhil Bhimaraju, S. Rasoul Etesami, Lav R. Varshney
Many settings, such as matching riders to drivers in ride-hailing platforms or in-stream video advertising, require handling arrivals over time. In such applications, it is often b…
Fractional Budget Allocation for Influence Maximization under General Marketing Strategies
Akhil Bhimaraju, Eliot W. Robson, Lav R. Varshney +1
We consider the fractional influence maximization problem, i.e., identifying users on a social network to be incentivized with potentially partial discounts to maximize the influen…