activity
20182026
most citedA Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Last Translation Benchmark

Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263

For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…

cs.CL2026

RedVox: Safety and Fairness Gaps in Speech Models Across Languages

Beatrice Savoldi, Sara Papi, Wafa Aissa +2

Speech-capable models are increasingly deployed in real-world applications across languages. Yet their safety and fairness beyond English settings and under naturalistic conditions…

cs.CL2023

Multimodal Representations for Teacher-Guided Compositional Visual Reasoning

Wafa Aissa, Marin Ferecatu, Michel Crucianu

Neural Module Networks (NMN) are a compelling method for visual question answering, enabling the translation of a question into a program consisting of a series of reasoning sub-ta…

cs.CL2023★ 2 cited

Curriculum Learning for Compositional Visual Reasoning

Wafa Aissa, Marin Ferecatu, Michel Crucianu

Visual Question Answering (VQA) is a complex task requiring large datasets and expensive training. Neural Module Networks (NMN) first translate the question to a reasoning path, th…

cs.CL2018★ 3 cited

A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems

Wafa Aissa, Laure Soulier, Ludovic Denoyer

Search-oriented conversational systems rely on information needs expressed in natural language (NL). We focus here on the understanding of NL expressions for building keyword-based…