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05/11/2023
Active Retrieval Augmented Generation
Despite the remarkable ability of large language models (LMs) to compreh...
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12/20/2022
Precise Zero-Shot Dense Retrieval without Relevance Labels
While dense retrieval has been shown effective and efficient across task...
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12/05/2022
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer
Systems for knowledge-intensive tasks such as open-domain question answe...
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11/29/2022
ClueWeb22: 10 Billion Web Documents with Visual and Semantic Information
ClueWeb22, the newest iteration of the ClueWeb line of datasets, provide...
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11/18/2022
PAL: Program-aided Language Models
Large language models (LLMs) have recently demonstrated an impressive ab...
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05/09/2022
Long Document Re-ranking with Modular Re-ranker
Long document re-ranking has been a challenging problem for neural re-ra...
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03/11/2022
Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval
Recent rapid advancements in deep pre-trained language models and the in...
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08/30/2021
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback
Dense retrieval systems conduct first-stage retrieval using embedded rep...
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08/12/2021
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval
Recent research demonstrates the effectiveness of using fine-tuned langu...
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04/16/2021
Is Your Language Model Ready for Dense Representation Fine-tuning?
Pre-trained language models (LM) have become go-to text representation e...
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04/15/2021
COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List
Classical information retrieval systems such as BM25 rely on exact lexic...
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01/21/2021
Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline
Pre-trained deep language models (LM) have advanced the state-of-the-art...
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01/21/2021
Assessing the Benefits of Model Ensembles in Neural Re-Ranking for Passage Retrieval
Our work aimed at experimentally assessing the benefits of model ensembl...
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01/20/2021
PGT: Pseudo Relevance Feedback Using a Graph-Based Transformer
Most research on pseudo relevance feedback (PRF) has been done in vector...
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08/19/2020
Generating Categories for Sets of Entities
Category systems are central components of knowledge bases, as they prov...
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07/21/2020
Understanding BERT Rankers Under Distillation
Deep language models such as BERT pre-trained on large corpus have given...
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05/23/2020
Summarizing and Exploring Tabular Data in Conversational Search
Tabular data provide answers to a significant portion of search queries....
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04/29/2020
Complementing Lexical Retrieval with Semantic Residual Embedding
Information retrieval traditionally has relied on lexical matching signa...
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04/28/2020
EARL: Speedup Transformer-based Rankers with Pre-computed Representation
Recent innovations in Transformer-based ranking models have advanced the...
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03/30/2020
TREC CAsT 2019: The Conversational Assistance Track Overview
The Conversational Assistance Track (CAsT) is a new track for TREC 2019 ...
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10/23/2019
Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrieval
Term frequency is a common method for identifying the importance of a te...
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05/22/2019
Deeper Text Understanding for IR with Contextual Neural Language Modeling
Neural networks provide new possibilities to automatically learn complex...
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12/03/2018
Modeling Temporal Evidence from External Collections
Newsworthy events are broadcast through multiple mediums and prompt the ...
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10/08/2018
A Vertical PRF Architecture for Microblog Search
In microblog retrieval, query expansion can be essential to obtain good ...
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10/05/2018
Sifaka: Text Mining Above a Search API
Text mining and analytics software has become popular, but little attent...
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09/27/2018
Consistency and Variation in Kernel Neural Ranking Model
This paper studies the consistency of the kernel-based neural ranking mo...
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05/03/2018
Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling
This paper presents a Kernel Entity Salience Model (KESM) that improves ...
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04/08/2018
A Structure-Oriented Unsupervised Crawling Strategy for Social Media Sites
Existing techniques for efficiently crawling social media sites rely on ...
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06/20/2017
Word-Entity Duet Representations for Document Ranking
This paper presents a word-entity duet framework for utilizing knowledge...
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06/20/2017
