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09/15/2023
RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue
Evaluating open-domain dialogue systems is challenging for reasons such ...
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08/27/2023
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
Augmenting large language models (LLMs) with external tools has emerged ...
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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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07/13/2023
Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues
Answer selection in open-domain dialogues aims to select an accurate ans...
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07/08/2023
Answering Ambiguous Questions via Iterative Prompting
In open-domain question answering, due to the ambiguity of questions, mu...
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05/27/2023
Towards Explainable Conversational Recommender Systems
Explanations in conventional recommender systems have demonstrated benef...
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05/26/2023
UMSE: Unified Multi-scenario Summarization Evaluation
Summarization quality evaluation is a non-trivial task in text summariza...
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05/18/2023
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems
Learning reinforcement learning (RL)-based recommenders from historical ...
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05/17/2023
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations
Recent work on knowledge graph completion (KGC) focused on learning embe...
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05/09/2023
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment
Recommender systems that learn from implicit feedback often use large vo...
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04/19/2023
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent
Large Language Models (LLMs) have demonstrated a remarkable ability to g...
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04/10/2023
Generative Knowledge Selection for Knowledge-Grounded Dialogues
Knowledge selection is the key in knowledge-grounded dialogues (KGD), wh...
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04/09/2023
Learning to Tokenize for Generative Retrieval
Conventional document retrieval techniques are mainly based on the index...
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03/04/2023
A Self-Correcting Sequential Recommender
Sequential recommendations aim to capture users' preferences from their ...
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01/04/2023
Modeling Sequential Recommendation as Missing Information Imputation
Side information is being used extensively to improve the effectiveness ...
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12/22/2022
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation
Conversational recommender systems (CRSs) often utilize external knowled...
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12/20/2022
Contrastive Learning Reduces Hallucination in Conversations
Pre-trained language models (LMs) store knowledge in their parameters an...
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12/11/2022
Feature-Level Debiased Natural Language Understanding
Natural language understanding (NLU) models often rely on dataset biases...
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10/16/2022
On the User Behavior Leakage from Recommender System Exposure
Modern recommender systems are trained to predict users potential future...
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06/24/2022
Debiasing Learning for Membership Inference Attacks Against Recommender Systems
Learned recommender systems may inadvertently leak information about the...
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06/15/2022
Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective
Modern recommender systems aim to improve user experience. As reinforcem...
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04/06/2022
Paying More Attention to Self-attention: Improving Pre-trained Language Models via Attention Guiding
Pre-trained language models (PLM) have demonstrated their effectiveness ...
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04/02/2022
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems
Task-oriented dialogue systems (TDSs) are assessed mainly in an offline ...
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09/16/2021
Membership Inference Attacks Against Recommender Systems
Recently, recommender systems have achieved promising performances and b...
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09/01/2021
M^2-MedDialog: A Dataset and Benchmarks for Multi-domain Multi-service Medical Dialogues
Medical dialogue systems (MDSs) aim to assist doctors and patients with ...
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06/29/2021
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning
Electronic health record (EHR) coding is the task of assigning ICD codes...
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06/23/2021
Improving Transformer-based Sequential Recommenders through Preference Editing
One of the key challenges in Sequential Recommendation (SR) is how to ex...
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05/18/2021
Wizard of Search Engine: Access to Information Through Conversations with Search Engines
Conversational information seeking (CIS) is playing an increasingly impo...
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05/13/2021
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network
Contract element extraction (CEE) is the novel task of automatically ide...
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05/13/2021
Semi-Supervised Variational Reasoning for Medical Dialogue Generation
Medical dialogue generation aims to provide automatic and accurate respo...
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05/08/2021
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems
Evaluation is crucial in the development process of task-oriented dialog...
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02/16/2021
A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles
There is increasing interest in developing personalized Task-oriented Di...
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12/01/2020
Mixed Information Flow for Cross-domain Sequential Recommendations
Cross-domain sequential recommendation is the task of predict the next i...
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08/21/2020
Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology
Conversational interfaces are increasingly popular as a way of connectin...
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08/07/2020
Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing
Existing methods for Dialogue Response Generation (DRG) in Task-oriented...
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08/03/2020
Attribute-aware Diversification for Sequential Recommendations
Users prefer diverse recommendations over homogeneous ones. However, mos...
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05/24/2020
Query Resolution for Conversational Search with Limited Supervision
In this work we focus on multi-turn passage retrieval as a crucial compo...
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04/29/2020
Conversations with Search Engines
In this paper, we address the problem of answering complex information n...
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02/06/2020
A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation
Unstructured Persona-oriented Dialogue Systems (UPDS) has been demonstra...
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11/19/2019
Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation
Dialogue response generation (DRG) is a critical component of task-orien...
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10/22/2019
From Personalization to Privatization: Meta Matrix Factorization for Private Rating Predictions
Matrix factorization (MF) techniques have been shown to be effective for...
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10/06/2019
Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations
Sequential Recommendation (SR) has been attracting a growing attention f...
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10/06/2019
Parallel Segregation-Integration Networks for Shared-account Cross-domain Sequential Recommendations
Sequential Recommendation (SR) has been attracting a growing attention f...
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08/27/2019
Improving End-to-End Sequential Recommendations with Intent-aware Diversification
Sequential Recommendation (SRs) that capture users' dynamic intents by m...
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08/26/2019
Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation
Background Based Conversations (BBCs) have been introduced to help conve...
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08/24/2019
Improving Outfit Recommendation with Co-supervision of Fashion Generation
The task of fashion recommendation includes two main challenges: visual ...
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08/18/2019
RefNet: A Reference-aware Network for Background Based Conversation
Existing conversational systems tend to generate generic responses. Rece...
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07/10/2019
A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts
End-to-end Task-oriented Dialogue Systems (TDSs) have attracted a lot of...
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06/16/2019
Improving Background Based Conversation with Context-aware Knowledge Pre-selection
Background Based Conversations (BBCs) have been developed to make dialog...
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02/25/2019
