Search Results for author:
Found 3 papers, 1 papers with code
Quati: A Brazilian Portuguese Information Retrieval Dataset from Native Speakers
Despite Portuguese being one of the most spoken languages in the world, there is a lack of high-quality information retrieval datasets in that language.
Lissard: Long and Simple Sequential Reasoning Datasets
Language models are now capable of solving tasks that require dealing with long sequences consisting of hundreds of thousands of tokens.
Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models
Our experimental results show that generating step-by-step rationales and introducing marker tokens are both required for effective extrapolation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
