b'Zhaochun Ren'

research

∙ 09/15/2023

RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue

Evaluating open-domain dialogue systems is challenging for reasons such ...

0 Zhengliang Shi, et al. ∙

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...

0 Qingyao Ai, et al. ∙

research

∙ 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...

0 Wentao Deng, et al. ∙

research

∙ 07/08/2023

Answering Ambiguous Questions via Iterative Prompting

In open-domain question answering, due to the ambiguity of questions, mu...

0 Weiwei Sun, et al. ∙

research

∙ 05/27/2023

Towards Explainable Conversational Recommender Systems

Explanations in conventional recommender systems have demonstrated benef...

0 Shuyu Guo, et al. ∙

research

∙ 05/26/2023

UMSE: Unified Multi-scenario Summarization Evaluation

Summarization quality evaluation is a non-trivial task in text summariza...

0 Shen Gao, et al. ∙

research

∙ 05/18/2023

Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems

Learning reinforcement learning (RL)-based recommenders from historical ...

0 Zhaochun Ren, et al. ∙

research

∙ 05/17/2023

Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations

Recent work on knowledge graph completion (KGC) focused on learning embe...

0 Zihan Wang, et al. ∙

research

∙ 05/09/2023

Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment

Recommender systems that learn from implicit feedback often use large vo...

0 Xin Xin, et al. ∙

research

∙ 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...

0 Weiwei Sun, et al. ∙

research

∙ 04/10/2023

Generative Knowledge Selection for Knowledge-Grounded Dialogues

Knowledge selection is the key in knowledge-grounded dialogues (KGD), wh...

0 Weiwei Sun, et al. ∙

research

∙ 04/09/2023

Learning to Tokenize for Generative Retrieval

Conventional document retrieval techniques are mainly based on the index...

0 Weiwei Sun, et al. ∙

research

∙ 03/04/2023

A Self-Correcting Sequential Recommender

Sequential recommendations aim to capture users' preferences from their ...

0 Yujie Lin, et al. ∙

research

∙ 03/02/2023

CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation

Dialogue structure discovery is essential in dialogue generation. Well-s...

0 Congchi Yin, et al. ∙

research

∙ 01/04/2023

Modeling Sequential Recommendation as Missing Information Imputation

Side information is being used extensively to improve the effectiveness ...

0 Yujie Lin, et al. ∙

research

∙ 12/22/2022

Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation

Conversational recommender systems (CRSs) often utilize external knowled...

0 Xiaoyu Zhang, et al. ∙

research

∙ 12/20/2022

Contrastive Learning Reduces Hallucination in Conversations

Pre-trained language models (LMs) store knowledge in their parameters an...

0 Weiwei Sun, et al. ∙

research

∙ 12/11/2022

Feature-Level Debiased Natural Language Understanding

Natural language understanding (NLU) models often rely on dataset biases...

16 Yougang Lyu, et al. ∙

research

∙ 11/23/2022

DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing

Knowledge tracing aims to trace students' evolving knowledge states by p...

0 Chaoran Cui, et al. ∙

research

∙ 10/16/2022

On the User Behavior Leakage from Recommender System Exposure

Modern recommender systems are trained to predict users potential future...

0 Xin Xin, et al. ∙

research

∙ 06/24/2022

Debiasing Learning for Membership Inference Attacks Against Recommender Systems

Learned recommender systems may inadvertently leak information about the...

10 Zihan Wang, et al. ∙

research

∙ 06/15/2022

Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective

Modern recommender systems aim to improve user experience. As reinforcem...

0 Xin Xin, et al. ∙

research

∙ 04/20/2022

Event Transition Planning for Open-ended Text Generation

Open-ended text generation tasks, such as dialogue generation and story ...

2 Qintong Li, et al. ∙

research

∙ 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 ...

5 Shanshan Wang, et al. ∙

research

∙ 04/02/2022

Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems

Task-oriented dialogue systems (TDSs) are assessed mainly in an offline ...

1 Weiwei Sun, et al. ∙

research

∙ 09/16/2021

Membership Inference Attacks Against Recommender Systems

Recently, recommender systems have achieved promising performances and b...

18 Minxing Zhang, et al. ∙

research

∙ 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 ...

19 Guojun Yan, et al. ∙

research

∙ 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...

24 Shanshan Wang, et al. ∙

research

∙ 06/23/2021

Improving Transformer-based Sequential Recommenders through Preference Editing

One of the key challenges in Sequential Recommendation (SR) is how to ex...

0 Muyang Ma, et al. ∙

research

∙ 05/18/2021

Wizard of Search Engine: Access to Information Through Conversations with Search Engines

Conversational information seeking (CIS) is playing an increasingly impo...

38 Pengjie Ren, et al. ∙

research

∙ 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...

5 Zihan Wang, et al. ∙

research

∙ 05/13/2021

Semi-Supervised Variational Reasoning for Medical Dialogue Generation

Medical dialogue generation aims to provide automatic and accurate respo...

9 Dongdong Li, et al. ∙

research

∙ 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...

0 Weiwei Sun, et al. ∙

research

∙ 01/18/2021

Abstractive Opinion Tagging

In e-commerce, opinion tags refer to a ranked list of tags provided by t...

9 Qintong Li, et al. ∙

research

∙ 12/01/2020

Mixed Information Flow for Cross-domain Sequential Recommendations

Cross-domain sequential recommendation is the task of predict the next i...

0 Muyang Ma, et al. ∙

research

∙ 09/21/2020

Empathetic Dialogue Generation via Knowledge Enhancing and Emotion Dependency Modeling

Enabling the machines with empathetic abilities to provide context-consi...

0 Qintong Li, et al. ∙

research

∙ 05/10/2020

From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information

Text summarization is the research area aiming at creating a short and c...

0 Shen Gao, et al. ∙

research

∙ 04/29/2020

Conversations with Search Engines

In this paper, we address the problem of answering complex information n...

13 Pengjie Ren, et al. ∙

research

∙ 02/06/2020

A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation

Unstructured Persona-oriented Dialogue Systems (UPDS) has been demonstra...

5 Minghong Xu, et al. ∙

research

∙ 11/20/2019

EmpGAN: Multi-resolution Interactive Empathetic Dialogue Generation

Conventional emotional dialogue system focuses on generating emotion-ric...

0 Qintong Li, et al. ∙

research

∙ 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...

0 Yujie Lin, et al. ∙

research

∙ 10/06/2019

Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations

Sequential Recommendation (SR) has been attracting a growing attention f...

0 Pengjie Ren, et al. ∙

research

∙ 10/06/2019

Parallel Segregation-Integration Networks for Shared-account Cross-domain Sequential Recommendations

Sequential Recommendation (SR) has been attracting a growing attention f...

0 Pengjie Ren, et al. ∙

research

∙ 08/24/2019

Improving Outfit Recommendation with Co-supervision of Fashion Generation

The task of fashion recommendation includes two main challenges: visual ...

5 Yujie Lin, et al. ∙

research

∙ 01/23/2019

Product-Aware Answer Generation in E-Commerce Question-Answering

In e-commerce portals, generating answers for product-related questions ...

0 Shen Gao, et al. ∙

research

∙ 12/13/2018

Abstractive Text Summarization by Incorporating Reader Comments

In neural abstractive summarization field, conventional sequence-to-sequ...

0 Shen Gao, et al. ∙

research

∙ 12/06/2018

RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation

Recurrent neural networks for session-based recommendation have attracte...

0 Pengjie Ren, et al. ∙

research

∙ 10/24/2018

Dynamic Graph Neural Networks

Graphs, which describe pairwise relations between objects, are essential...

0 Yao Ma, et al. ∙

research

∙ 08/31/2018

Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation

The task of dialogue generation aims to automatically provide responses ...

0 Xisen Jin, et al. ∙

research

∙ 06/23/2018

Explainable Fashion Recommendation with Joint Outfit Matching and Comment Generation

Most previous work on fashion recommendation focuses on designing visual...

0 Yujie Lin, et al. ∙

Zhaochun Ren

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