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02/20/2023
Query Performance Prediction for Neural IR: Are We There Yet?
Evaluation in Information Retrieval relies on post-hoc empirical procedu...
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01/26/2023
LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization
Text Summarization is a popular task and an active area of research for ...
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01/11/2023
CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval
Conversational search is a difficult task as it aims at retrieving docum...
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05/10/2022
From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective
Neural retrievers based on dense representations combined with Approxima...
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04/25/2022
Which Discriminator for Cooperative Text Generation?
Language models generate texts by successively predicting probability di...
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01/28/2022
Generative Cooperative Networks for Natural Language Generation
Generative Adversarial Networks (GANs) have known a tremendous success f...
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12/10/2021
Match Your Words! A Study of Lexical Matching in Neural Information Retrieval
Neural Information Retrieval models hold the promise to replace lexical ...
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09/21/2021
SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval
In neural Information Retrieval (IR), ongoing research is directed towar...
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09/02/2021
Skim-Attention: Learning to Focus via Document Layout
Transformer-based pre-training techniques of text and layout have proven...
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07/12/2021
SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
In neural Information Retrieval, ongoing research is directed towards im...
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06/11/2021
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs
Due to the discrete nature of words, language GANs require to be optimiz...
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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,...
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03/23/2021
SAFEval: Summarization Asks for Fact-based Evaluation
Summarization evaluation remains an open research problem: current metri...
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12/17/2020
A White Box Analysis of ColBERT
Transformer-based models are nowadays state-of-the-art in ad-hoc Informa...
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11/13/2020
Transductive Zero-Shot Learning using Cross-Modal CycleGAN
In Computer Vision, Zero-Shot Learning (ZSL) aims at classifying unseen ...
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06/08/2020
ColdGANs: Taming Language GANs with Cautious Sampling Strategies
Training regimes based on Maximum Likelihood Estimation (MLE) suffer fro...
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04/30/2020
MLSUM: The Multilingual Summarization Corpus
We present MLSUM, the first large-scale MultiLingual SUMmarization datas...
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02/24/2020
Discriminative Adversarial Search for Abstractive Summarization
We introduce a novel approach for sequence decoding, Discriminative Adve...
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02/07/2020
Incorporating Visual Semantics into Sentence Representations within a Grounded Space
Language grounding is an active field aiming at enriching textual repres...
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09/04/2019
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
Abstractive summarization approaches based on Reinforcement Learning (RL...
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04/24/2019
Context-Aware Zero-Shot Learning for Object Recognition
Zero-Shot Learning (ZSL) aims at classifying unlabeled objects by levera...
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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...
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10/06/2015