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Matthieu Cord
95 publications
Patrick Gallinari
48 publications
Ludovic Denoyer
37 publications
Jian-Yun Nie
37 publications
David Picard
36 publications
Nicolas Thome
35 publications
Thomas Scialom
29 publications
Sylvain Lamprier
27 publications
Roberta Raileanu
23 publications
Benjamin Piwowarski
23 publications
Jacopo Staiano
22 publications

∙ 06/07/2023

Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards

Foundation models are first pre-trained on vast unsupervised datasets an...

0 Alexandre Ramé, et al. ∙

∙ 02/16/2023

Dynamic Named Entity Recognition

Named Entity Recognition (NER) is a challenging and widely studied task ...

0 Tristan Luiggi, et al. ∙

∙ 01/11/2023

CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval

Conversational search is a difficult task as it aims at retrieving docum...

0 Nam Le Hai, et al. ∙

∙ 11/18/2022

Building a Subspace of Policies for Scalable Continual Learning

The ability to continuously acquire new knowledge and skills is crucial ...

0 Jean-Baptiste Gaya, et al. ∙

∙ 05/31/2022

Interactive Query Clarification and Refinement via User Simulation

When users initiate search sessions, their queries are often unclear or ...

0 Pierre Erbacher, et al. ∙

∙ 01/10/2022

State of the Art of User Simulation approaches for conversational information retrieval

Conversational Information Retrieval (CIR) is an emerging field of Infor...

0 Pierre Erbacher, et al. ∙

∙ 01/10/2022

Continual Learning of Long Topic Sequences in Neural Information Retrieval

In information retrieval (IR) systems, trends and users' interests may c...

0 Thomas Gerald, et al. ∙

∙ 12/08/2021

Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs

In this work, our aim is to provide a structured answer in natural langu...

0 Hanane Djeddal, et al. ∙

∙ 10/11/2021

Learning a subspace of policies for online adaptation in Reinforcement Learning

Deep Reinforcement Learning (RL) is mainly studied in a setting where th...

0 Jean-Baptiste Gaya, et al. ∙

∙ 04/15/2021

Data-QuestEval: A Referenceless Metric for Data to Text Semantic Evaluation

In this paper, we explore how QuestEval, which is a Text-vs-Text metric,...

0 Clément Rebuffel, et al. ∙

∙ 02/04/2021

Controlling Hallucinations at Word Level in Data-to-Text Generation

Data-to-Text Generation (DTG) is a subfield of Natural Language Generati...

0 Clément Rebuffel, et al. ∙

∙ 01/18/2021

Studying Catastrophic Forgetting in Neural Ranking Models

Several deep neural ranking models have been proposed in the recent IR l...

0 Jesus Lovon Melgarejo, et al. ∙

∙ 10/21/2020

PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation

In language generation models conditioned by structured data, the classi...

0 Clément Rebuffel, et al. ∙

∙ 02/07/2020

Incorporating Visual Semantics into Sentence Representations within a Grounded Space

Language grounding is an active field aiming at enriching textual repres...

0 Patrick Bordes, et al. ∙

∙ 01/09/2020

Conversational Search for Learning Technologies

Conversational search is based on a user-system cooperation with the obj...

0 Sharon Oviatt, et al. ∙

∙ 12/20/2019

A Hierarchical Model for Data-to-Text Generation

Transcribing structured data into natural language descriptions has emer...

0 Clément Rebuffel, et al. ∙

∙ 04/24/2019

Context-Aware Zero-Shot Learning for Object Recognition

Zero-Shot Learning (ZSL) aims at classifying unlabeled objects by levera...

0 Éloi Zablocki, et al. ∙

∙ 08/29/2018

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

Search-oriented conversational systems rely on information needs express...

0 Wafa Aissa, et al. ∙

∙ 05/02/2018

Images & Recipes: Retrieval in the cooking context

Recent advances in the machine learning community allowed different use ...

0 Micael Carvalho, et al. ∙

∙ 04/30/2018

Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings

Designing powerful tools that support cooking activities has rapidly gai...

0 Micael Carvalho, et al. ∙

∙ 11/09/2017

Learning Multi-Modal Word Representation Grounded in Visual Context

Representing the semantics of words is a long-standing problem for the n...

0 Éloi Zablocki, et al. ∙

∙ 06/15/2017

DSRIM: A Deep Neural Information Retrieval Model Enhanced by a Knowledge Resource Driven Representation of Documents

The state-of-the-art solutions to the vocabulary mismatch in information...

0 Gia-Hung Nguyen, et al. ∙

∙ 06/23/2016

Toward a Deep Neural Approach for Knowledge-Based IR

This paper tackles the problem of the semantic gap between a document an...

0 Gia-Hung Nguyen, et al. ∙

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