research
∙
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...
share
research
∙
02/16/2023
Dynamic Named Entity Recognition
Named Entity Recognition (NER) is a challenging and widely studied task ...
research
∙
01/11/2023
CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval
Conversational search is a difficult task as it aims at retrieving docum...
research
∙
11/18/2022
Building a Subspace of Policies for Scalable Continual Learning
The ability to continuously acquire new knowledge and skills is crucial ...
research
∙
05/31/2022
Interactive Query Clarification and Refinement via User Simulation
When users initiate search sessions, their queries are often unclear or ...
research
∙
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...
research
∙
01/10/2022
Continual Learning of Long Topic Sequences in Neural Information Retrieval
In information retrieval (IR) systems, trends and users' interests may c...
research
∙
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...
research
∙
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...
research
∙
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,...
research
∙
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...
research
∙
01/18/2021
Studying Catastrophic Forgetting in Neural Ranking Models
Several deep neural ranking models have been proposed in the recent IR l...
research
∙
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...
research
∙
02/07/2020
Incorporating Visual Semantics into Sentence Representations within a Grounded Space
Language grounding is an active field aiming at enriching textual repres...
research
∙
01/09/2020
Conversational Search for Learning Technologies
Conversational search is based on a user-system cooperation with the obj...
research
∙
12/20/2019
A Hierarchical Model for Data-to-Text Generation
Transcribing structured data into natural language descriptions has emer...
research
∙
04/24/2019
Context-Aware Zero-Shot Learning for Object Recognition
Zero-Shot Learning (ZSL) aims at classifying unlabeled objects by levera...
research
∙
08/29/2018
A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems
Search-oriented conversational systems rely on information needs express...
research
∙
05/02/2018
Images & Recipes: Retrieval in the cooking context
Recent advances in the machine learning community allowed different use ...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
06/23/2016