Pengjie Ren

Orcid: 0000-0003-2964-6422

According to our database1, Pengjie Ren authored at least 140 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Diversifying Sequential Recommendation with Retrospective and Prospective Transformers.
ACM Trans. Inf. Syst., September, 2024

Center-retained fine-tuning for conversational question ranking through unsupervised center identification.
Inf. Process. Manag., March, 2024

Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems.
ACM Trans. Inf. Syst., January, 2024

Uncovering Overfitting in Large Language Model Editing.
CoRR, 2024

MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization.
CoRR, 2024

Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing.
CoRR, 2024

Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2024

Chain-of-Strategy Planning with LLMs: Aligning the Generation of Psychotherapy Dialogue with Strategy in Motivational Interviewing.
CoRR, 2024

ExcluIR: Exclusionary Neural Information Retrieval.
CoRR, 2024

Offline Trajectory Generalization for Offline Reinforcement Learning.
CoRR, 2024

Enhanced Generative Recommendation via Content and Collaboration Integration.
CoRR, 2024

Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation.
CoRR, 2024

Learning to Use Tools via Cooperative and Interactive Agents.
CoRR, 2024

Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning.
CoRR, 2024

A Multi-Agent Conversational Recommender System.
CoRR, 2024

Privacy-Preserving Sequential Recommendation with Collaborative Confusion.
CoRR, 2024

Zero-Shot Position Debiasing for Large Language Models.
CoRR, 2024

Generative News Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

On the Effectiveness of Unlearning in Session-Based Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Generative Retrieval as Multi-Vector Dense Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Towards Empathetic Conversational Recommender Systems.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Knowledge Graph Enhanced Large Language Model Editing.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Learning to Use Tools via Cooperative and Interactive Agents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Content-Based Collaborative Generation for Recommender Systems.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Self-Supervised Position Debiasing for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Parallel Split-Join Networks for Shared Account Cross-Domain Sequential Recommendations.
IEEE Trans. Knowl. Data Eng., April, 2023

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
AI Open, January, 2023

Improving Transformer-based Sequential Recommenders through Preference Editing.
ACM Trans. Inf. Syst., 2023

On the User Behavior Leakage from Recommender System Exposure.
ACM Trans. Inf. Syst., 2023

Learning Robust Sequential Recommenders through Confident Soft Labels.
CoRR, 2023

Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers.
CoRR, 2023

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum.
CoRR, 2023

Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues.
CoRR, 2023

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent.
CoRR, 2023

Modeling Sequential Recommendation as Missing Information Imputation.
CoRR, 2023

A Self-Correcting Sequential Recommender.
Proceedings of the ACM Web Conference 2023, 2023

Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Towards Explainable Conversational Recommender Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Learning to Tokenize for Generative Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards a Unified Framework for Reference Retrieval and Related Work Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Syllogistic Reasoning for Legal Judgment Analysis.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Generative Knowledge Selection for Knowledge-Grounded Dialogues.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Answering Ambiguous Questions via Iterative Prompting.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

UMSE: Unified Multi-scenario Summarization Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Contrastive Learning Reduces Hallucination in Conversations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Feature-Level Debiased Natural Language Understanding.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Multi-interest Diversification for End-to-end Sequential Recommendation.
ACM Trans. Inf. Syst., 2022

Mixed Information Flow for Cross-Domain Sequential Recommendations.
ACM Trans. Knowl. Discov. Data, 2022

Improving legal judgment prediction through reinforced criminal element extraction.
Inf. Process. Manag., 2022

Paying More Attention to Self-attention: Improving Pre-trained Language Models via Attention Guiding.
CoRR, 2022

Bayesian feature interaction selection for factorization machines.
Artif. Intell., 2022

Improving Conversational Recommender Systems via Transformer-based Sequential Modelling.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Personalized Abstractive Opinion Tagging.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Variational Reasoning about User Preferences for Conversational Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Debiasing Learning for Membership Inference Attacks Against Recommender Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Improving Multi-label Malevolence Detection in Dialogues through Multi-faceted Label Correlation Enhancement.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Knowledge Bridging for Empathetic Dialogue Generation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Conversations with Search Engines: SERP-based Conversational Response Generation.
ACM Trans. Inf. Syst., 2021

A taxonomy, data set, and benchmark for detecting and classifying malevolent dialogue responses.
J. Assoc. Inf. Sci. Technol., 2021

M^2-MedDialog: A Dataset and Benchmarks for Multi-domain Multi-service Medical Dialogues.
CoRR, 2021

Few-Shot Electronic Health Record Coding through Graph Contrastive Learning.
CoRR, 2021

A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Long Short-Term Session Search: Joint Personalized Reranking and Next Query Prediction.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Conversations Powered by Cross-Lingual Knowledge.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Wizard of Search Engine: Access to Information Through Conversations with Search Engines.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Semi-Supervised Variational Reasoning for Medical Dialogue Generation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Membership Inference Attacks Against Recommender Systems.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning to Ask Conversational Questions by Optimizing Levenshtein Distance.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation.
IEEE Trans. Knowl. Data Eng., 2020

Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020.
SIGIR Forum, 2020

Mixed Information Flow for Cross-domain Sequential Recommendations.
CoRR, 2020

Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology.
CoRR, 2020

Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing.
CoRR, 2020

Attribute-aware Diversification for Sequential Recommendations.
CoRR, 2020

Conversations with Search Engines.
CoRR, 2020

NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Coding Electronic Health Records with Adversarial Reinforcement Path Generation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Query Resolution for Conversational Search with Limited Supervision.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Meta Matrix Factorization for Federated Rating Predictions.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Neural Topical Expansion Framework for Unstructured Persona-Oriented Dialogue Generation.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Retrospective and Prospective Mixture-of-Generators for Task-Oriented Dialogue Response Generation.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Improving End-to-End Sequential Recommendations with Intent-aware Diversification.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

RefNet: A Reference-Aware Network for Background Based Conversation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
From Personalization to Privatization: Meta Matrix Factorization for Private Rating Predictions.
CoRR, 2019

Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations.
CoRR, 2019

Improving End-to-End Sequential Recommendations with Intent-aware Diversification.
CoRR, 2019

A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts.
CoRR, 2019

Improving Background Based Conversation with Context-aware Knowledge Pre-selection.
CoRR, 2019

Multi-resolution representation with recurrent neural networks application for streaming time series in IoT.
Comput. Networks, 2019

Improving Outfit Recommendation with Co-supervision of Fashion Generation.
Proceedings of the World Wide Web Conference, 2019

Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss.
Proceedings of the World Wide Web Conference, 2019

ILPS at TREC 2019 Conversational Assistant Track.
Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

A Collaborative Session-based Recommendation Approach with Parallel Memory Modules.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

π-Net: A Parallel Information-sharing Network for Shared-account Cross-domain Sequential Recommendations.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Bayesian Personalized Feature Interaction Selection for Factorization Machines.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

A Multi-granularity Neural Network for Answer Sentence Selection.
Proceedings of the International Joint Conference on Neural Networks, 2019

Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Sentence Relations for Extractive Summarization with Deep Neural Networks.
ACM Trans. Inf. Syst., 2018

User session level diverse reranking of search results.
Neurocomputing, 2018

Explainable Fashion Recommendation with Joint Outfit Matching and Comment Generation.
CoRR, 2018

An Attentive Interaction Network for Context-aware Recommendations.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Relation Enhanced Neural Model for Type Classification of Entity Mentions with a Fine-Grained Taxonomy.
J. Comput. Sci. Technol., 2017

Detecting temporal patterns of user queries.
J. Assoc. Inf. Sci. Technol., 2017

Neural Attentive Session-based Recommendation.
CoRR, 2017

Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Entity Linking for Queries by Searching Wikipedia Sentences.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Attentive Session-based Recommendation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Supervised Local Contexts Aggregation for Effective Session Search.
Proceedings of the Advances in Information Retrieval, 2016

A Redundancy-Aware Sentence Regression Framework for Extractive Summarization.
Proceedings of the COLING 2016, 2016

2015
Mining and ranking users' intents behind queries.
Inf. Retr. J., 2015

Analysis of Subjective City Happiness Index Based on Large Scale Microblog Data.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

Sleep Quality Evaluation of Active Microblog Users.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

Learning Similarity Functions for Urban Events Detection by Mining Hotline Phone Records.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014
Social Media as Sensor in Real World: Geolocate User with Microblog.
Proceedings of the Natural Language Processing and Chinese Computing, 2014

2013
Understanding Temporal Intent of User Query Based on Time-Based Query Classification.
Proceedings of the Natural Language Processing and Chinese Computing, 2013


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