Researchers have found that pairing forward and backward contextual representations in a bidirectional LSTM does not improve performance for dependenc...
Researchers have developed AsmEvo, an agentic assembly-level optimizer for AMD GPU kernels. It optimizes already compiled code objects by reconstructi...
Researchers have developed a framework called Tree-of-Concerns to help identify unstated limitations in scientific papers. This is done by using multi...
Researchers have developed a new method for watermarking diffusion language models called SAC-Copula. This method preserves the quality of generated t...
Researchers have developed an ontology-driven framework to improve the accuracy of document-level relation extraction. They found that a significant s...
Researchers have proposed a new AI framework called ForeDreamer for predicting future events on the open web. The system separates memory into two typ...
Researchers have developed two new methods for aligning words across entire documents in different languages. The methods, CTFAlign and MDPAlign, can ...
Researchers propose a new framework called ECoG for detecting out-of-distribution (OOD) scenarios in social-engineering fraud detection. They found th...
Researchers have developed new metrics to measure the semantic distance between words in jokes, aiming to better understand what makes a joke funny. T...
Researchers have proposed a new framework for understanding how language evolves in the presence of large language models (LLMs). They argue that LLMs...
Researchers have developed a new framework called RARE that allows them to control the behavior of language models without modifying their routing mec...
Researchers have found that large language models (LLMs) are more likely to be sycophantic when interacting with users who express negative emotions. ...