Okapi+QuEst: Translation Quality Estimation within Okapi

Okapi: Generalising Better by Making Statistical Matches Match

We propose Okapi, a simple, efficient, and general method for robust semi-supervised learning based on online statistical matching. Our method uses a nearest-neighbours-based matching procedure to generate cross-domain v…

Compositional Generalization for Natural Language Interfaces to Web APIs

This paper presents Okapi, a new dataset for Natural Language to executable web Application Programming Interfaces (NL2API). This dataset is in English and contains 22,508 questions and 9,019 unique API calls, covering t…

TransIns: Document Translation with Markup Reinsertion

For many use cases, it is required that MT does not just translate raw text, but complex formatted documents (e.g. websites, slides, spreadsheets) and the result of the translation should reflect the formatting. This is …

Vectorisation, Okapi et calcul de similarit\'e pour le TAL : pour oublier enfin le TF-IDF (Vectorization, Okapi and Computing Similarity for NLP : Say Goodbye to TF-IDF) [in French]

Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback

A key technology for the development of large language models (LLMs) involves instruction tuning that helps align the models' responses with human expectations to realize impressive learning abilities. Two major approach…