activity
20152026
most citedAtlas: Few-shot Learning with Retrieval Augmented Language Models

201 citations · 466 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Multiplayer Interactive World Models with Representation Autoencoders

Anthony Hu, Václav Volhejn, Adrien Ramanana Rahary +24

We introduce the first multiplayer world model for highly dynamic environments governed by complex physical interactions. Whereas single-player world models treat the other agents…

cs.IR2026

Subtraction Gets You More: Gap-Aware Retrieval for Multimodal Multi-Hop QA

Sunah O, Jay-Yoon Lee

In multimodal multi-hop question answering, we focus on the initial retrieval stage via two distinct tasks: (1) evidence set completion, retrieving missing evidence given context,…

cs.CL2022★ 201 cited

Atlas: Few-shot Learning with Retrieval Augmented Language Models

Gautier Izacard, Patrick Lewis, Maria Lomeli +7

Large language models have shown impressive few-shot results on a wide range of tasks. However, when knowledge is key for such results, as is the case for tasks such as question an…

cs.IR2022

Improving Wikipedia Verifiability with AI

Fabio Petroni, Samuel Broscheit, Aleksandra Piktus +10

Verifiability is a core content policy of Wikipedia: claims that are likely to be challenged need to be backed by citations. There are millions of articles available online and tho…

cs.LG2022★ 14 cited

Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search

Harsha Vardhan Simhadri, George Williams, Martin Aumüller +9

Despite the broad range of algorithms for Approximate Nearest Neighbor Search, most empirical evaluations of algorithms have focused on smaller datasets, typically of 1 million poi…

cs.IR2021★ 153 cited

Unsupervised Dense Information Retrieval with Contrastive Learning

Gautier Izacard, Mathilde Caron, Lucas Hosseini +4

Recently, information retrieval has seen the emergence of dense retrievers, using neural networks, as an alternative to classical sparse methods based on term-frequency. These mode…

cs.CL2021★ 64 cited

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned

Sewon Min, Jordan Boyd-Graber, Chris Alberti +50

We review the EfficientQA competition from NeurIPS 2020. The competition focused on open-domain question answering (QA), where systems take natural language questions as input and…

cs.CL2020★ 29 cited

A Memory Efficient Baseline for Open Domain Question Answering

Gautier Izacard, Fabio Petroni, Lucas Hosseini +3

Recently, retrieval systems based on dense representations have led to important improvements in open-domain question answering, and related tasks. While very effective, this appro…

math.CO2016

Limits of Mappings

L. Hosseini, J. Nesetril, P. Ossona de Mendez

In this paper we consider a simple algebraic structure --- sets with a single endofunction. We shall see that from the point of view of limits, even this simplest case is both inte…

math.CO2016★ 1 cited

Treeable Graphings Are Local Limits of Finite Graphs

Lucas Hosseini, Patrice Ossona de Mendez

Let be a graphing, that is a Borel graph defined by measure preserving involutions. We prove that if is {\em treeable} then it arises as the local limit…

math.CO2015★ 4 cited

Limits of Structures and the Example of Tree-Semilattices

Pierre Charbit, Lucas Hosseini, Patrice Ossona de Mendez

The notion of left convergent sequences of graphs introduced by Lov\' asz et al. (in relation with homomorphism densities for fixed patterns and Szemerédi's regularity lemma) got i…