13 citations · 20 across the 8 of their papers we have counts for
3 papers · 1 filter
LLM Routing as Reasoning: A MaxSAT View
Son Nguyen, Xinyuan Liu, Ransalu Senanayake
Routing a query through an appropriate LLM is challenging, particularly when user preferences are expressed in natural language and model attributes are only partially observable.…
CURATRON: Complete and Robust Preference Data for Rigorous Alignment of Large Language Models
Son The Nguyen, Niranjan Uma Naresh, Theja Tulabandhula
This paper addresses the challenges of aligning large language models (LLMs) with human values via preference learning (PL), focusing on incomplete and corrupted data in preference…
User Friendly and Adaptable Discriminative AI: Using the Lessons from the Success of LLMs and Image Generation Models
Son The Nguyen, Theja Tulabandhula, Mary Beth Watson-Manheim
While there is significant interest in using generative AI tools as general-purpose models for specific ML applications, discriminative models are much more widely deployed current…