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08/29/2023
Continual Learning for Generative Retrieval over Dynamic Corpora
Generative retrieval (GR) directly predicts the identifiers of relevant ...
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08/24/2023
Inducing Causal Structure for Abstractive Text Summarization
The mainstream of data-driven abstractive summarization models tends to ...
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08/19/2023
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method
Neural ranking models (NRMs) and dense retrieval (DR) models have given ...
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06/22/2023
On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective
Recently, we have witnessed generative retrieval increasingly gaining at...
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06/05/2023
Gen-IR @ SIGIR 2023: The First Workshop on Generative Information Retrieval
Generative information retrieval (IR) has experienced substantial growth...
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05/24/2023
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies
Recently, a new paradigm called Differentiable Search Index (DSI) has be...
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04/28/2023
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models
Neural ranking models (NRMs) have attracted considerable attention in in...
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04/28/2023
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
Knowledge-intensive language tasks (KILTs) benefit from retrieving high-...
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11/09/2022
Visual Named Entity Linking: A New Dataset and A Baseline
Visual Entity Linking (VEL) is a task to link regions of images with the...
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10/28/2022
LegoNet: A Fast and Exact Unlearning Architecture
Machine unlearning aims to erase the impact of specific training samples...
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09/14/2022
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models
Neural ranking models (NRMs) have achieved promising results in informat...
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09/12/2022
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models
Neural ranking models (NRMs) have become one of the most important techn...
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08/21/2022
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval
Pre-training and fine-tuning have achieved significant advances in the i...
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08/21/2022
A Contrastive Pre-training Approach to Learn Discriminative Autoencoder for Dense Retrieval
Dense retrieval (DR) has shown promising results in information retrieva...
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08/16/2022
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks
Knowledge-intensive language tasks (KILT) usually require a large body o...
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05/05/2022
A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration
The cross-entropy objective has proved to be an all-purpose training obj...
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04/22/2022
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction
Dense retrieval has shown promising results in many information retrieva...
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04/12/2022
GERE: Generative Evidence Retrieval for Fact Verification
Fact verification (FV) is a challenging task which aims to verify a clai...
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11/27/2021
Pre-training Methods in Information Retrieval
The core of information retrieval (IR) is to identify relevant informati...
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08/11/2021
FedMatch: Federated Learning Over Heterogeneous Question Answering Data
Question Answering (QA), a popular and promising technique for intellige...
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08/11/2021
Are Neural Ranking Models Robust?
Recently, we have witnessed the bloom of neural ranking models in the in...
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07/18/2021
A Discriminative Semantic Ranker for Question Retrieval
Similar question retrieval is a core task in community-based question an...
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04/20/2021
B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval
Pre-training and fine-tuning have achieved remarkable success in many do...
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03/08/2021
Semantic Models for the First-stage Retrieval: A Comprehensive Review
Multi-stage ranking pipelines have been a practical solution in modern s...
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03/01/2021
A Linguistic Study on Relevance Modeling in Information Retrieval
Relevance plays a central role in information retrieval (IR), which has ...
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02/25/2021
Learning to Truncate Ranked Lists for Information Retrieval
Ranked list truncation is of critical importance in a variety of profess...
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10/20/2020
PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval
Recently pre-trained language representation models such as BERT have sh...
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08/25/2020
Query Understanding via Intent Description Generation
Query understanding is a fundamental problem in information retrieval (I...
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08/25/2020
Continual Domain Adaptation for Machine Reading Comprehension
Machine reading comprehension (MRC) has become a core component in a var...
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06/21/2020
Match^2: A Matching over Matching Model for Similar Question Identification
Community Question Answering (CQA) has become a primary means for people...
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05/24/2019
Outline Generation: Understanding the Inherent Content Structure of Documents
In this paper, we introduce and tackle the Outline Generation (OG) task,...
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07/18/2017