research
∙
08/29/2023
Continual Learning for Generative Retrieval over Dynamic Corpora
Generative retrieval (GR) directly predicts the identifiers of relevant ...
share
research
∙
08/24/2023
Inducing Causal Structure for Abstractive Text Summarization
The mainstream of data-driven abstractive summarization models tends to ...
research
∙
08/22/2023
L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations
First-stage retrieval is a critical task that aims to retrieve relevant ...
research
∙
08/22/2023
Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval
Grounded on pre-trained language models (PLMs), dense retrieval has been...
research
∙
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 ...
research
∙
07/19/2023
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
The research field of Information Retrieval (IR) has evolved significant...
research
∙
06/22/2023
On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective
Recently, we have witnessed generative retrieval increasingly gaining at...
research
∙
05/24/2023
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies
Recently, a new paradigm called Differentiable Search Index (DSI) has be...
research
∙
05/22/2023
Semantic Structure Enhanced Event Causality Identification
Event Causality Identification (ECI) aims to identify causal relations b...
research
∙
05/10/2023
Few-shot Link Prediction on N-ary Facts
N-ary facts composed of a primary triple (head entity, relation, tail en...
research
∙
05/03/2023
Visual Transformation Telling
In this paper, we propose a new visual reasoning task, called Visual Tra...
research
∙
05/02/2023
Visual Reasoning: from State to Transformation
Most existing visual reasoning tasks, such as CLEVR in VQA, ignore an im...
research
∙
04/28/2023
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models
Neural ranking models (NRMs) have attracted considerable attention in in...
research
∙
04/28/2023
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
Knowledge-intensive language tasks (KILTs) benefit from retrieving high-...
research
∙
02/18/2023
Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search
An effective ranking model usually requires a large amount of training d...
research
∙
02/15/2023
Feature-Enhanced Network with Hybrid Debiasing Strategies for Unbiased Learning to Rank
Unbiased learning to rank (ULTR) aims to mitigate various biases existin...
research
∙
12/16/2022
Rich Event Modeling for Script Event Prediction
Script is a kind of structured knowledge extracted from texts, which con...
research
∙
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...
research
∙
10/28/2022
LegoNet: A Fast and Exact Unlearning Architecture
Machine unlearning aims to erase the impact of specific training samples...
research
∙
10/18/2022
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning
A Temporal Knowledge Graph (TKG) is a sequence of KGs with respective ti...
research
∙
09/14/2022
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models
Neural ranking models (NRMs) have achieved promising results in informat...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
04/12/2022
GERE: Generative Evidence Retrieval for Fact Verification
Fact verification (FV) is a challenging task which aims to verify a clai...
research
∙
03/15/2022
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning
A Temporal Knowledge Graph (TKG) is a sequence of KGs corresponding to d...
research
∙
12/31/2021
What is Event Knowledge Graph: A Survey
Besides entity-centric knowledge, usually organized as Knowledge Graph (...
research
∙
11/27/2021
Interpreting Dense Retrieval as Mixture of Topics
Dense Retrieval (DR) reaches state-of-the-art results in first-stage ret...
research
∙
11/27/2021
Pre-training Methods in Information Retrieval
The core of information retrieval (IR) is to identify relevant informati...
research
∙
10/12/2021
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
Dense Retrieval (DR) has achieved state-of-the-art first-stage ranking e...
research
∙
09/08/2021
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict
Sarcasm employs ambivalence, where one says something positive but actua...
research
∙
08/16/2021
Toward the Understanding of Deep Text Matching Models for Information Retrieval
Semantic text matching is a critical problem in information retrieval. R...
research
∙
08/11/2021
FedMatch: Federated Learning Over Heterogeneous Question Answering Data
Question Answering (QA), a popular and promising technique for intellige...
research
∙
08/11/2021
Are Neural Ranking Models Robust?
Recently, we have witnessed the bloom of neural ranking models in the in...
research
∙
08/02/2021
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance
Recently, Information Retrieval community has witnessed fast-paced advan...
research
∙
07/18/2021
A Discriminative Semantic Ranker for Question Retrieval
Similar question retrieval is a core task in community-based question an...
research
∙
06/01/2021
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs
Temporal Knowledge Graphs (TKGs) have been developed and used in many di...
research
∙
04/21/2021
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation
With the overwhelming popularity of Knowledge Graphs (KGs), researchers ...
research
∙
04/21/2021
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning
Knowledge Graph (KG) reasoning that predicts missing facts for incomplet...
research
∙
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...
research
∙
04/16/2021
Optimizing Dense Retrieval Model Training with Hard Negatives
Ranking has always been one of the top concerns in information retrieval...
research
∙
04/02/2021
Sketch and Customize: A Counterfactual Story Generator
Recent text generation models are easy to generate relevant and fluent t...
research
∙
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...
research
∙
03/01/2021
A Linguistic Study on Relevance Modeling in Information Retrieval
Relevance plays a central role in information retrieval (IR), which has ...
research
∙
02/25/2021
Learning to Truncate Ranked Lists for Information Retrieval
Ranked list truncation is of critical importance in a variety of profess...
research
∙
12/25/2020
Dynamic-K Recommendation with Personalized Decision Boundary
In this paper, we investigate the recommendation task in the most common...
research
∙
11/26/2020
Transformation Driven Visual Reasoning
This paper defines a new visual reasoning paradigm by introducing an imp...
research
∙
10/20/2020