24 citations · 48 across the 21 of their papers we have counts for
4 papers · 1 filter
Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis
Philip John Gorinski, Matthieu Zimmer, Gerasimos Lampouras +2
The advent of large pre-trained language models in the domain of Code Synthesis has shown remarkable performance on various benchmarks, treating the problem of Code Generation in a…
A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems
Songbo Hu, Han Zhou, Moy Yuan +5
Achieving robust language technologies that can perform well across the world's many languages is a central goal of multilingual NLP. In this work, we take stock of and empirically…
Correct and Optimal: the Regular Expression Inference Challenge
Mojtaba Valizadeh, Philip John Gorinski, Ignacio Iacobacci +1
We propose regular expression inference (REI) as a challenge for code/language modelling, and the wider machine learning community. REI is a supervised machine learning (ML) and pr…
Multi3WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systems
Songbo Hu, Han Zhou, Mete Hergul +5
Creating high-quality annotated data for task-oriented dialog (ToD) is known to be notoriously difficult, and the challenges are amplified when the goal is to create equitable, cul…