1 citations · 3 across the 4 of their papers we have counts for
5 papers
A Graph-Based Stackelberg Security Game for Trustworthy 6G Disaggregated Architecture
Lav R. Varshney, Xinbo Wu
Open, cloud-native, and AI-enabled 6G architectures make network functions easier to deploy, observe, and replace, often implemented with separate software modules. However, each e…
When Every Token Counts: Optimal Segmentation for Low-Resource Language Models
Bharath Raj, Garvit Suri, Vikrant Dewangan +1
Traditional greedy tokenization methods have been a critical step in Natural Language Processing (NLP), influencing how text is converted into tokens and directly impacting model p…
SwitchCIT: Switching for Continual Instruction Tuning
Xinbo Wu, Max Hartman, Vidhata Arjun Jayaraman +1
Large language models (LLMs) and multimodal models (MMs) have exhibited impressive capabilities in various domains, particularly in general language understanding and visual reason…
Transformer-based Causal Language Models Perform Clustering
Xinbo Wu, Lav R. Varshney
Even though large language models (LLMs) have demonstrated remarkable capability in solving various natural language tasks, the capability of an LLM to follow human instructions is…
A Meta-Learning Perspective on Transformers for Causal Language Modeling
Xinbo Wu, Lav R. Varshney
The Transformer architecture has become prominent in developing large causal language models. However, mechanisms to explain its capabilities are not well understood. Focused on th…