Researchers Liudmila Rozanova and Alexander Temerev analyzed the Voynich manuscript using various assumptions about its units. They tested three commo...
Researchers have been studying how multimodal foundation models (MFMs) recognize emotions across different modalities such as speech, vision, and lang...
Researchers have found that children's vocabulary growth accelerates over time, contrary to previous models that described it as a steady accumulation...
Researchers propose a new security principle for Retrieval-Augmented Generation (RAG) systems, which rely on large language models to access untrusted...
Researchers have developed Polaris, a system that generates table descriptions using feedback from retrieval tasks. The system trains a language model...
Researchers have developed AISA, a framework that uses large language models to improve highway construction safety. The system analyzes incident narr...
Researchers studied how vision-language models (VLMs) handle conflicting information between images and text. They created a controlled setup where on...
Researchers have created a dataset that maps sentences from literary summaries to their original chapters in novels. They found that summarizing liter...
Researchers have found that temporal leakage in financial news NLP can significantly affect model performance. They audited a corpus of 49,799 article...
Researchers have proposed Q-Interference, a quantum-inspired attention mechanism for language modeling that takes into account the phase relationships...
Researchers analyzed how tokenization affects language modeling performance across various languages. They compared two approaches to optimizing token...
Researchers have developed ArguLens, an open-source system for automated essay scoring and providing label-aware feedback. The system breaks down the ...