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04/26/2023
Improving Conversational Passage Re-ranking with View Ensemble
This paper presents ConvRerank, a conversational passage re-ranker that ...
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02/15/2023
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval
Various techniques have been developed in recent years to improve dense ...
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02/13/2023
SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes
This paper introduces a method called Sparsified Late Interaction for Mu...
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11/18/2022
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval
Multi-vector retrieval methods combine the merits of sparse (e.g. BM25) ...
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10/09/2022
Strong Gravitational Lensing Parameter Estimation with Vision Transformer
Quantifying the parameters and corresponding uncertainties of hundreds o...
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07/31/2022
Aggretriever: A Simple Approach to Aggregate Textual Representation for Robust Dense Passage Retrieval
Pre-trained transformers has declared its success in many NLP tasks. One...
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06/20/2022
A Dense Representation Framework for Lexical and Semantic Matching
Lexical and semantic matching capture different successful approaches to...
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12/09/2021
Densifying Sparse Representations for Passage Retrieval by Representational Slicing
Learned sparse and dense representations capture different successful ap...
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04/18/2021
Contextualized Query Embeddings for Conversational Search
Conversational search (CS) plays a vital role in information retrieval. ...
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04/14/2021
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
A vital step towards the widespread adoption of neural retrieval models ...
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02/19/2021
Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations
Pyserini is an easy-to-use Python toolkit that supports replicable IR re...
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12/04/2020
Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate
Most galaxies in the nearby Universe are gravitationally bound to a clus...
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10/22/2020
Distilling Dense Representations for Ranking using Tightly-Coupled Teachers
We present an approach to ranking with dense representations that applie...
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08/30/2020
Personalized TV Recommendation: Fusing User Behavior and Preferences
In this paper, we propose a two-stage ranking approach for recommending ...
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05/05/2020
Query Reformulation using Query History for Passage Retrieval in Conversational Search
Passage retrieval in a conversational context is essential for many down...
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04/04/2020
Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models
This paper presents an empirical study of conversational question reform...
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03/18/2020