1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2025
MossNet: Mixture of State-Space Experts is a Multi-Head Attention
Shikhar Tuli, James Seale Smith, Haris Jeelani +5
Large language models (LLMs) have significantly advanced generative applications in natural language processing (NLP). Recent trends in model architectures revolve around efficient…
cs.CL2025
Dynamic Noise Preference Optimization: Self-Improvement of Large Language Models with Self-Synthetic Data
Haoyan Yang, Khiem Le, Ting Hua +7
Although LLMs have achieved significant success, their reliance on large volumes of human-annotated data has limited their potential for further scaling. In this situation, utilizi…
cs.CL2024★ 1 cited
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models
Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan +1
Question Answer Generation (QAG) is an effective data augmentation technique to improve the accuracy of question answering systems, especially in low-resource domains. While recent…