Researchers conducted a multi-site study to evaluate the performance of large language models (LLMs) in abstracting data from electronic medical recor...
Researchers have proposed a new framework called GRAFT for constructing draft trees in language models. The existing method, DDTree, has limitations w...
Researchers propose a new method called TH-GNN to detect fake reviews generated by large language models (LLMs). These fake reviews can be hard to spo...
Researchers have developed a new architecture for multimodal large language models called Libra. This design separates vision and language systems wit...
Researchers have developed a method to improve the accuracy of quality appraisal in systematic reviews by analyzing disagreements between human expert...
Researchers have developed Intent Engine, a system that translates natural-language intents into Service-level Objectives (SLOs) for microservice plac...
A new dataset called ImmigrationReason has been created by researchers. It contains information on 12,375 non-precedent decisions made by the U.S. Cit...
Researchers have developed a method to track the convergence of children's speech patterns towards adult models using self-supervised speech represent...
Researchers have developed a framework called ARGUS for generating persuasive arguments that take into account an audience's beliefs, values, and rhet...
Researchers have developed LiLiCorr, a model that improves the performance of speculative decoding in language models. This technique accelerates infe...
Researchers have proposed a new approach to efficient transformers called Sparse Token Routing. They designed a two-stream transformer that routes tok...
Researchers have developed an algorithm called MIL-BERT that can classify large text documents by selecting relevant excerpts. The approach is inspire...