research
∙
08/14/2023
Large Language Models for Information Retrieval: A Survey
As a primary means of information acquisition, information retrieval (IR...
share
research
∙
05/25/2023
ConvGQR: Generative Query Reformulation for Conversational Search
In conversational search, the user's real search intent for the current ...
research
∙
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...
research
∙
02/08/2023
An Empirical Study of Uniform-Architecture Knowledge Distillation in Document Ranking
Although BERT-based ranking models have been commonly used in commercial...
research
∙
10/17/2022
MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling
Personalized chatbots focus on endowing the chatbots with a consistent p...
research
∙
09/14/2022
Pre-training for Information Retrieval: Are Hyperlinks Fully Explored?
Recent years have witnessed great progress on applying pre-trained langu...
research
∙
08/23/2022
Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search
Users' search tasks have become increasingly complicated, requiring mult...
research
∙
08/22/2022
From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking
Contextual information in search sessions is important for capturing use...
research
∙
08/19/2022
Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding
Generalized text representations are the foundation of many natural lang...
research
∙
07/05/2022
PReGAN: Answer Oriented Passage Ranking with Weakly Supervised GAN
Beyond topical relevance, passage ranking for open-domain factoid questi...
research
∙
04/18/2022
Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation
Personalized dialogue systems explore the problem of generating response...
research
∙
11/24/2021
PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling
Personalized search plays a crucial role in improving user search experi...
research
∙
08/24/2021
Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking
Context information in search sessions has proven to be useful for captu...
research
∙
08/20/2021
One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles
Personalized chatbots focus on endowing chatbots with a consistent perso...
research
∙
08/18/2021
Learning Implicit User Profiles for Personalized Retrieval-Based Chatbot
In this paper, we explore the problem of developing personalized chatbot...
research
∙
07/18/2021
Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals
A proactive dialogue system has the ability to proactively lead the conv...
research
∙
05/18/2021
Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator
Recent years have witnessed great progress on building emotional chatbot...
research
∙
03/25/2021
BERT4SO: Neural Sentence Ordering by Fine-tuning BERT
Sentence ordering aims to arrange the sentences of a given text in the c...
research
∙
01/27/2021
Neural Sentence Ordering Based on Constraint Graphs
Sentence ordering aims at arranging a list of sentences in the correct o...
research
∙
01/21/2021
Content Selection Network for Document-grounded Retrieval-based Chatbots
Grounding human-machine conversation in a document is an effective way t...
research
∙
08/18/2020
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Recently, significant progress has been made in sequential recommendatio...
research
∙
05/20/2020
ScriptWriter: Narrative-Guided Script Generation
It is appealing to have a system that generates a story or scripts autom...
research
∙
02/18/2020
