Predicting the Benefit of Retrieval Augmentation in Open-Domain Question Answering
Researchers from the University of Tel Aviv have proposed a method to predict whether incorporating external information into question-answering syste...
Researchers from the University of Tel Aviv have proposed a method to predict whether incorporating external information into question-answering syste...
Researchers have proposed a new framework called InfoPDF to improve the accuracy of fake news detection. The framework uses a combination of real and ...
A new dataset of Russian and Tatar toponyms (place names) has been created, containing over 9,600 entries with linguistic, etymological, and coordinat...
Researchers have created a new benchmark for evaluating the performance of retrieval-augmented generation (RAG) models on Canadian case law. The CanLe...
Researchers have developed a new method to mitigate hallucinations in large language models. Hallucinations occur when the model generates responses t...
Researchers have developed a new method to detect hallucinations in large language models (LLMs). Hallucinations occur when LLMs generate factually in...
Researchers have created a dataset called ConstructCIE to help extract causal information from narratives about construction accidents. The dataset in...
Researchers have developed a new method for spoken dialogue systems to predict when a user has finished speaking. The approach, called X2-Turn, uses a...
Researchers have introduced a new evaluation framework called AutoResearchEval to assess the performance of AI agents in carrying out scientific resea...
Researchers have developed LACONIC, a family of learned sparse retrievers that can efficiently search large datasets using commodity CPU hardware. Unl...
Researchers have proposed a framework to improve spatial reasoning in Multimodal Large Language Models (MLLMs). The framework, which is training-free,...
Stampli, a company that helps businesses manage invoices and payments, used OpenAI's ChatGPT Work and Codex tools to speed up the development of their...