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08/30/2023
Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection
Language models (LMs) have revolutionized the way we interact with infor...
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07/21/2023
Alleviating the Long-Tail Problem in Conversational Recommender Systems
Conversational recommender systems (CRS) aim to provide the recommendati...
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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...
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06/05/2023
Improving Conversational Recommendation Systems via Counterfactual Data Simulation
Conversational recommender systems (CRSs) aim to provide recommendation ...
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05/28/2023
Plug-and-Play Document Modules for Pre-trained Models
Large-scale pre-trained models (PTMs) have been widely used in document-...
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05/23/2023
Term-Sets Can Be Strong Document Identifiers For Auto-Regressive Search Engines
Auto-regressive search engines emerge as a promising paradigm for next-g...
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05/04/2023
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models
To better support information retrieval tasks such as web search and ope...
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04/24/2023
Constructing Tree-based Index for Efficient and Effective Dense Retrieval
Recent studies have shown that Dense Retrieval (DR) techniques can signi...
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04/21/2023
EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction
Learning effective high-order feature interactions is very crucial in th...
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04/12/2023
Rethinking Dense Retrieval's Few-Shot Ability
Few-shot dense retrieval (DR) aims to effectively generalize to novel se...
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04/11/2023
FashionSAP: Symbols and Attributes Prompt for Fine-grained Fashion Vision-Language Pre-training
Fashion vision-language pre-training models have shown efficacy for a wi...
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04/10/2023
WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus
In this paper, we introduce a new NLP task – generating short factual ar...
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03/09/2023
Replacement as a Self-supervision for Fine-grained Vision-language Pre-training
Fine-grained supervision based on object annotations has been widely use...
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12/19/2022
Rethinking Label Smoothing on Multi-hop Question Answering
Label smoothing is a regularization technique widely used in supervised ...
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09/14/2022
Pre-training for Information Retrieval: Are Hyperlinks Fully Explored?
Recent years have witnessed great progress on applying pre-trained langu...
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09/02/2022
Multi-Modal Experience Inspired AI Creation
AI creation, such as poem or lyrics generation, has attracted increasing...
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08/23/2022
Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search
Users' search tasks have become increasingly complicated, requiring mult...
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08/19/2022
Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding
Generalized text representations are the foundation of many natural lang...
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02/28/2022
KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models
Previous works show the great potential of pre-trained language models (...
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10/20/2021
VLDeformer: Vision-Language Decomposed Transformer for Fast Cross-Modal Retrieval
Cross-model retrieval has emerged as one of the most important upgrades ...
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10/14/2021
Towards More Effective and Economic Sparsely-Activated Model
The sparsely-activated models have achieved great success in natural lan...
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10/13/2021
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
Supersized pre-trained language models have pushed the accuracy of vario...
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09/14/2021
YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker
Pre-trained model such as BERT has been proved to be an effective tool f...
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08/20/2021
Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need
Designing pre-training objectives that more closely resemble the downstr...
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05/28/2021
