4 citations · 4 across the 2 of their papers we have counts for
5 papers · 1 filter
Energy Considerations of Large Language Model Inference and Efficiency Optimizations
Jared Fernandez, Clara Na, Vashisth Tiwari +3
As large language models (LLMs) scale in size and adoption, their computational and environmental costs continue to rise. Prior benchmarking efforts have primarily focused on laten…
Gradient Localization Improves Lifelong Pretraining of Language Models
Jared Fernandez, Yonatan Bisk, Emma Strubell
Large Language Models (LLMs) trained on web-scale text corpora have been shown to capture world knowledge in their parameters. However, the mechanism by which language models store…
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models
Jaeyoung Lee, Ximing Lu, Jack Hessel +5
Given the growing influx of misinformation across news and social media, there is a critical need for systems that can provide effective real-time verification of news claims. Larg…
Tools Fail: Detecting Silent Errors in Faulty Tools
Jimin Sun, So Yeon Min, Yingshan Chang +1
Tools have become a mainstay of LLMs, allowing them to retrieve knowledge not in their weights, to perform tasks on the web, and even to control robots. However, most ontologies an…
SOTOPIA-: Interactive Learning of Socially Intelligent Language Agents
Ruiyi Wang, Haofei Yu, Wenxin Zhang +5
Humans learn social skills through both imitation and social interaction. This social learning process is largely understudied by existing research on building language agents. Mot…