22 citations · 51 across the 6 of their papers we have counts for
6 papers
SkillTrace: Traversing a Query-Skill Graph for Composable LLM Agents
Yue Yao, Shengyuan Wang, Xin Chen +4
Large language model agents increasingly solve complex tasks by composing reusable skills from a library. To address this, the key challenge is not merely to retrieve individually…
Real-Time Language Model Jamming: A Case Study for Live Music Accompaniment Generation
Bowen Zheng, Andrew H. Yang, Jiaqi Ruan +5
Language models (LMs) have become one of the most prominent paradigms in modern generative modeling. While making them faster has been the main focus of real-time deployment, speed…
Does Prompt Formatting Have Any Impact on LLM Performance?
Jia He, Mukund Rungta, David Koleczek +3
In the realm of Large Language Models (LLMs), prompt optimization is crucial for model performance. Although previous research has explored aspects like rephrasing prompt contexts,…
Can LLMs be Fooled? Investigating Vulnerabilities in LLMs
Sara Abdali, Jia He, CJ Barberan +1
The advent of Large Language Models (LLMs) has garnered significant popularity and wielded immense power across various domains within Natural Language Processing (NLP). While thei…
Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
Sara Abdali, Richard Anarfi, CJ Barberan +2
Large language models (LLMs) have significantly transformed the landscape of Natural Language Processing (NLP). Their impact extends across a diverse spectrum of tasks, revolutioni…
Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text
Sara Abdali, Richard Anarfi, CJ Barberan +1
Large Language Models (LLMs) have revolutionized the field of Natural Language Generation (NLG) by demonstrating an impressive ability to generate human-like text. However, their w…