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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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08/14/2023
Large Language Models for Information Retrieval: A Survey
As a primary means of information acquisition, information retrieval (IR...
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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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06/08/2023
RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit
Although Large Language Models (LLMs) have demonstrated extraordinary ca...
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05/24/2023
JDsearch: A Personalized Product Search Dataset with Real Queries and Full Interactions
Recently, personalized product search attracts great attention and many ...
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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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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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03/12/2023
Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search
In this paper, we present a prompting framework called LLMCS that levera...
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11/30/2022
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection
Deep semantic matching aims to discriminate the relationship between doc...
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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...
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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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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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08/22/2022
From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking
Contextual information in search sessions is important for capturing use...
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08/19/2022
Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer
Document retrieval has been extensively studied within the index-retriev...
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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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04/18/2022
Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation
Personalized dialogue systems explore the problem of generating response...
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03/01/2022
DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index
Web search provides a promising way for people to obtain information and...
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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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02/22/2022
Socialformer: Social Network Inspired Long Document Modeling for Document Ranking
Utilizing pre-trained language models has achieved great success for neu...
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11/24/2021
Group based Personalized Search by Integrating Search Behaviour and Friend Network
The key to personalized search is to build the user profile based on his...
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11/24/2021
PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling
Personalized search plays a crucial role in improving user search experi...
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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
Learning to Select Historical News Articles for Interaction based Neural News Recommendation
The key to personalized news recommendation is to match the user's inter...
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09/30/2021
USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence
Search and recommendation are the two most common approaches used by peo...
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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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08/24/2021
Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking
Context information in search sessions has proven to be useful for captu...
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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...
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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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08/18/2021
Learning Implicit User Profiles for Personalized Retrieval-Based Chatbot
In this paper, we explore the problem of developing personalized chatbot...
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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...
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05/18/2021
Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator
Recent years have witnessed great progress on building emotional chatbot...
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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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01/27/2021
Neural Sentence Ordering Based on Constraint Graphs
Sentence ordering aims at arranging a list of sentences in the correct o...
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01/21/2021
Content Selection Network for Document-grounded Retrieval-based Chatbots
Grounding human-machine conversation in a document is an effective way t...
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09/28/2020
Pchatbot: A Large-Scale Dataset for Personalized Chatbot
Natural language dialogue systems raise great attention recently. As man...
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05/20/2020
ScriptWriter: Narrative-Guided Script Generation
It is appealing to have a system that generates a story or scripts autom...
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08/20/2019