From the 1 of 35 linked papers with an AI index.
2 citations · 2 across the 12 of their papers we have counts for
9 papers · 1 filter
Many LLMs Are More Utilitarian Than One
Anita Keshmirian, Razan Baltaji, Babak Hemmatian +2
Moral judgment is integral to large language models' (LLMs) social reasoning. As multi-agent systems gain prominence, it becomes crucial to understand how LLMs function when collab…
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
Raghav Singhal, Kaustubh Ponkshe, Rohit Vartak +2
Low-Rank Adaptation (LoRA) has become ubiquitous for efficiently fine-tuning foundation models. However, federated fine-tuning using LoRA is challenging due to suboptimal updates a…
Concealment of Intent: A Game-Theoretic Analysis
Xinbo Wu, Abhishek Umrawal, Lav R. Varshney
As large language models (LLMs) grow more capable, concerns about their safe deployment have also grown. Although alignment mechanisms have been introduced to deter misuse, they re…
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…
A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search
Austin R. Ellis-Mohr, Anuj K. Nayak, Lav R. Varshney
Large language models (LLMs) demand considerable computational, energy, and financial resources during both training and deployment. While scaling laws for training have guided muc…
Cross-lingual Transfer in Programming Languages: An Extensive Empirical Study
Razan Baltaji, Saurabh Pujar, Louis Mandel +3
Large language models (LLMs) have achieved state-of-the-art performance in various software engineering tasks, including error detection, clone detection, and code translation, pri…