5 citations · 6 across the 5 of their papers we have counts for
5 papers
Fence: Specialized SLM Guardrails for LLM Applications
Kumud Lakara, Ruibo Shi, Fran Silavong
Real-world applications that use closed-source large language models (LLMs) need advanced safety measures that go beyond the basic content filters. Content moderation filters such…
TrueBrief: Faithful Summarization through Small Language Models
Kumud Lakara, Ruibo Shi, Fran Silavong
Large language models (LLMs) have exhibited remarkable proficiency in generating high-quality text; however, their propensity for producing hallucinations poses a significant chall…
Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training
Xiaoying Zhi, Varun Babbar, Rundong Liu +4
The subject of green AI has been gaining attention within the deep learning community given the recent trend of ever larger and more complex neural network models. Existing solutio…
CV4Code: Sourcecode Understanding via Visual Code Representations
Ruibo Shi, Lili Tao, Rohan Saphal +2
We present CV4Code, a compact and effective computer vision method for sourcecode understanding. Our method leverages the contextual and the structural information available from t…
Building Proactive Voice Assistants: When and How (not) to Interact
O. Miksik, I. Munasinghe, J. Asensio-Cubero +17
Voice assistants have recently achieved remarkable commercial success. However, the current generation of these devices is typically capable of only reactive interactions. In other…