163 citations · 212 across the 8 of their papers we have counts for
12 papers
Shieldstral
Antonia Calvi, Avinash Sooriyarachchi, Giada Pistilli +273
We introduce Shieldstral, a 3B-parameter policy-adaptive multimodal safety classifier that matches or outperforms models nearly 7 its size on text safety benchmarks and set…
Voxtral TTS
Mistral-AI, :, Alexander H. Liu +186
We introduce Voxtral TTS, an expressive multilingual text-to-speech model that generates natural speech from as little as 3 seconds of reference audio. Voxtral TTS adopts a hybrid…
Voxtral Realtime
Mistral-AI, :, Alexander H. Liu +166
We introduce Voxtral Realtime, a natively streaming automatic speech recognition model that matches offline transcription quality at sub-second latency. Unlike approaches that adap…
Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack
Emily Dinan, Samuel Humeau, Bharath Chintagunta +1
The detection of offensive language in the context of a dialogue has become an increasingly important application of natural language processing. The detection of trolls in public…
Codensity Games for Bisimilarity
Yuichi Komorida, Shin-ya Katsumata, Nick Hu +2
Bisimilarity as an equivalence notion of systems has been central to process theory. Due to the recent rise of interest in quantitative systems (probabilistic, weighted, hybrid, et…
Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring
Samuel Humeau, Kurt Shuster, Marie-Anne Lachaux +1
The use of deep pre-trained bidirectional transformers has led to remarkable progress in a number of applications (Devlin et al., 2018). For tasks that make pairwise comparisons be…
Learning to Speak and Act in a Fantasy Text Adventure Game
Jack Urbanek, Angela Fan, Siddharth Karamcheti +7
We introduce a large scale crowdsourced text adventure game as a research platform for studying grounded dialogue. In it, agents can perceive, emote, and act whilst conducting dial…
Reference-less Quality Estimation of Text Simplification Systems
Louis Martin, Samuel Humeau, Pierre-Emmanuel Mazaré +3
The evaluation of text simplification (TS) systems remains an open challenge. As the task has common points with machine translation (MT), TS is often evaluated using MT metrics su…
Image Chat: Engaging Grounded Conversations
Kurt Shuster, Samuel Humeau, Antoine Bordes +1
To achieve the long-term goal of machines being able to engage humans in conversation, our models should captivate the interest of their speaking partners. Communication grounded i…
Engaging Image Captioning Via Personality
Kurt Shuster, Samuel Humeau, Hexiang Hu +2
Standard image captioning tasks such as COCO and Flickr30k are factual, neutral in tone and (to a human) state the obvious (e.g., "a man playing a guitar"). While such tasks are us…
Training Millions of Personalized Dialogue Agents
Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison +1
Current dialogue systems are not very engaging for users, especially when trained end-to-end without relying on proactive reengaging scripted strategies. Zhang et al. (2018) showed…
Multimodal Attribute Extraction
Robert L. Logan, Samuel Humeau, Sameer Singh
The broad goal of information extraction is to derive structured information from unstructured data. However, most existing methods focus solely on text, ignoring other types of un…