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08/27/2023
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases
This paper proposes Text mAtching based SequenTial rEcommendation model ...
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07/01/2023
Improving Multitask Retrieval by Promoting Task Specialization
In multitask retrieval, a single retriever is trained to retrieve releva...
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05/31/2023
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data
This paper presents Structure Aware Dense Retrieval (SANTA) model, which...
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05/27/2023
Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In
Retrieval augmentation can aid language models (LMs) in knowledge-intens...
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05/24/2023
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval
Common IR pipelines are typically cascade systems that may involve multi...
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05/21/2023
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers
This paper explores the effectiveness of model-generated signals in impr...
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05/10/2023
Unsupervised Dense Retrieval Training with Web Anchors
In this work, we present an unsupervised retrieval method with contrasti...
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02/07/2023
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories
In this paper we improve the zero-shot generalization ability of languag...
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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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10/31/2022
Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives
In this paper, we investigate the instability in the standard dense retr...
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10/27/2022
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning
We present a new zero-shot dense retrieval (ZeroDR) method, COCO-DR, to ...
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09/01/2022
Universal Multi-Modality Retrieval with One Unified Embedding Space
This paper presents Vision-Language Universal Search (VL-UnivSearch), wh...
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05/06/2022
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder
Dense retrievers encode texts and map them in an embedding space using p...
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05/04/2022
P^3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning
Compared to other language tasks, applying pre-trained language models (...
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04/13/2022
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals
We present an efficient method of pretraining large-scale autoencoding l...
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04/07/2022
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
We present a new framework AMOS that pretrains text encoders with an Adv...
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01/13/2022
Neural Approaches to Conversational Information Retrieval
A conversational information retrieval (CIR) system is an information re...
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10/14/2021
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
Dense retrieval (DR) methods conduct text retrieval by first encoding te...
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10/10/2021
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation
Open-domain question answering answers a question based on evidence retr...
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09/09/2021
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling
Human conversations naturally evolve around different topics and fluentl...
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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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07/16/2021
More Robust Dense Retrieval with Contrastive Dual Learning
Dense retrieval conducts text retrieval in the embedding space and has s...
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06/25/2021
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
Information overload is a prevalent challenge in many high-value domains...
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05/10/2021
Few-Shot Conversational Dense Retrieval
Dense retrieval (DR) has the potential to resolve the query understandin...
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04/13/2021
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval
Complex question answering often requires finding a reasoning chain that...
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03/23/2021
Complex Factoid Question Answering with a Free-Text Knowledge Graph
We introduce DELFT, a factoid question answering system which combines t...
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03/02/2021
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization
The progress in Query-focused Multi-Document Summarization (QMDS) has be...
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02/18/2021
Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder
Many real-world applications use Siamese networks to efficiently match t...
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02/16/2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
We present COCO-LM, a new self-supervised learning framework that pretra...
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01/30/2021
OpenMatch: An Open-Source Package for Information Retrieval
Information Retrieval (IR) is an important task and can be used in many ...
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12/29/2020
Meta Adaptive Neural Ranking with Contrastive Synthetic Supervision
Neural Information Retrieval (Neu-IR) models have shown their effectiven...
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11/03/2020
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
Neural rankers based on deep pretrained language models (LMs) have been ...
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10/23/2020
Long Document Ranking with Query-Directed Sparse Transformer
The computing cost of transformer self-attention often necessitates brea...
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10/14/2020
Text Classification Using Label Names Only: A Language Model Self-Training Approach
Current text classification methods typically require a good number of h...
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07/01/2020
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Conducting text retrieval in a dense learned representation space has ma...
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06/29/2020
Knowledge-Aware Language Model Pretraining
How much knowledge do pretrained language models hold? Recent research o...
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06/18/2020
Proceedings of the KG-BIAS Workshop 2020 at AKBC 2020
The KG-BIAS 2020 workshop touches on biases and how they surface in know...
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06/09/2020
Few-Shot Generative Conversational Query Rewriting
Conversational query rewriting aims to reformulate a concise conversatio...
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04/28/2020
Joint Keyphrase Chunking and Salience Ranking with BERT
An effective keyphrase extraction system requires to produce self-contai...
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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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01/28/2020
Selective Weak Supervision for Neural Information Retrieval
This paper democratizes neural information retrieval to scenarios where ...
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11/08/2019
Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator
Web search engines today return a ranked list of document links in respo...
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11/07/2019
Conversation Generation with Concept Flow
Human conversations naturally evolve around related entities and connect...
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11/06/2019
Open Domain Web Keyphrase Extraction Beyond Language Modeling
This paper studies keyphrase extraction in real-world scenarios where do...
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10/22/2019
Kernel Graph Attention Network for Fact Verification
This paper presents Kernel Graph Attention Network (KGAT), which conduct...
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08/28/2019
Explore Entity Embedding Effectiveness in Entity Retrieval
This paper explores entity embedding effectiveness in ad-hoc entity retr...
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08/21/2019
Latent Relation Language Models
In this paper, we propose Latent Relation Language Models (LRLMs), a cla...
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08/08/2019
Neural Document Expansion with User Feedback
This paper presents a neural document expansion approach (NeuDEF) that e...
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07/24/2019
Generic Intent Representation in Web Search
This paper presents GEneric iNtent Encoder (GEN Encoder) which learns a ...
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04/16/2019