Researchers have developed a method for creating synthetic images of satellites that closely resemble real-world images while preserving important ann...
Researchers have proposed a new approach to reinforcement learning called Q-Value Expectile Disagreement (QED). The goal of QED is to reduce the varia...
Researchers have developed a metric called the Word Coverage Score (WCS) to measure how well large language models (LLMs) can generate diverse and uni...
Researchers have developed Chatterbox-Flash, a text-to-speech model that can generate speech without prior training data. The model uses a block-diffu...
Researchers have proposed an Audio Interaction Model that allows for continuous and interactive audio processing. Unlike current large language models...
Researchers have developed a new framework called INFUSER that improves the reasoning abilities of language models through self-evolution. The framewo...
Researchers Lezhi Tan and Tijana Zrnic propose a new approach to using synthetic data in scientific research. They argue that synthetic data can be bi...
A survey paper explores the intersection of cryptocurrency and artificial intelligence (AI). The authors systematize existing work, summarize key take...
Researchers have developed a new benchmark for evaluating large language models (LLMs), called the Metanym Game, which measures their ability to gener...
A new benchmark called Know2Guess has been developed to evaluate the reliability of large language models. The benchmark separates supported answering...
Researchers have developed an open-source pipeline called MatMMExtract that extracts image-text pairs from materials science literature. The pipeline ...
Researchers have found that Large Language Model (LLM) personalities can be understood in two different ways. Aggregated features, such as personality...