Peng Liu

@ntnu.no

Department of Computer Science
Norwegian University of Science and Technology

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Artificial Intelligence, Information Systems, Computational Theory and Mathematics
977

Scholar Citations

12

Scholar h-index

13

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • NorwAI's Large Language Models: Technical Report
    JA Gulla, P Liu, L Zhang
    arXiv preprint arXiv:2601.03034 , 2026
    2026
  • The Impact of Copyrighted Material on Large Language Models: A Norwegian Perspective
    J De La Rosa, V Mikhailov, L Zhang, F Wetjen, D Samuel, P Liu, ...
    The Joint 25th Nordic Conference on Computational Linguistics and 11th … , 2025
    2025
    Citations: 5
  • Nlebench+ norglm: A comprehensive empirical analysis and benchmark dataset for generative language models in norwegian
    P Liu, L Zhang, T Farup, EW Lauvrak, JE Ingvaldsen, S Eide, JA Gulla, ...
    The 2024 Conference on Empirical Methods in Natural Language Processing … , 2024
    2024
    Citations: 13
  • PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
    L Zhang, P Liu, MTO Henriksboe, EW Lauvrak, JA Gulla, H Ramampiaro
    NeurIPS 2024 Track on Datasets and Benchmarks , 2024
    2024
    Citations: 20
  • Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges
    L Zhang, P Liu, Y Deldjoo, Y Zheng, JA Gulla
    The 27th European Conference on Artificial Intelligence (ECAI 2024) , 2024
    2024
    Citations: 12
  • Pre-train, prompt, and recommendation: A comprehensive survey of language modeling paradigm adaptations in recommender systems
    P Liu, L Zhang, JA Gulla
    Transactions of the Association for Computational Linguistics 11, 1553-1571 , 2023
    2023
    Citations: 173
  • The Eleventh International Workshop on News Recommendation and Analytics (INRA’23)
    B Kille, A Lommatzsch, Ö Özgöbek, P Liu, S Eide, L Zhang
    Proceedings of the 17th ACM Conference on Recommender Systems, 1263-1266 , 2023
    2023
    Citations: 3
  • Prompt and instruction-based tuning for response generation in conversational question answering
    Y Xing, P Liu
    International conference on applications of natural language to information … , 2023
    2023
    Citations: 4
  • Recommending on graphs: A comprehensive review from a data perspective
    L Zhang, P Liu, JA Gulla
    User Modeling and User-Adapted Interaction 33 (4), 803-888 , 2023
    2023
    Citations: 10
  • The 10th International Workshop on News Recommendation and Analytics (INRA 2022)
    Ö Özgöbek, A Lommatzsch, B Kille, P Liu, JA Gulla, EC Malthouse
    Proceedings of the 45th International ACM SIGIR Conference on Research and … , 2022
    2022
    Citations: 4
  • Building Sentiment Lexicons for Mainland Scandinavian Languages Using Machine Translation and Sentence Embeddings
    P Liu, C Sánchez-Marco, JA Gulla
    Proceedings of the Thirteenth Language Resources and Evaluation Conference … , 2022
    2022
  • Balancing multi-domain corpora learning for open-domain response generation
    Y Xing, J Cai, N Barlaug, P Liu, JA Gulla
    Findings of the Association for Computational Linguistics: NAACL 2022, 2104-2120 , 2022
    2022
    Citations: 5
  • 9th International Workshop on News Recommendation and Analytics
    Ö Özgöbek, A Lommatzsch, B Kille, P Liu, Z Pu, JA Gulla
    Proceedings of the 15th ACM Conference on Recommender Systems, 772-774 , 2021
    2021
    Citations: 1
  • Multilingual review-aware deep recommender system via aspect-based sentiment analysis
    P Liu, L Zhang, JA Gulla
    ACM Transactions on Information Systems (TOIS) 39 (2), 1-33 , 2021
    2021
    Citations: 80
  • Dynamic attention-based explainable recommendation with textual and visual fusion
    P Liu, L Zhang, JA Gulla
    Information Processing & Management 57 (6), 102099 , 2020
    2020
    Citations: 74
  • Exploiting Latent Context for Effective Social Recommendation.
    P Liu
    Norwegian University of Science and Technology, Trondheim, Norway , 2020
    2020
  • Dynamic attention-integrated neural network for session-based news recommendation.
    L Zhang, P Liu, JA Gulla
    Machine learning 108 (10), 1851 , 2019
    2019
    Citations: 56
  • Semi-supervised Sentiment Analysis for Under-Resourced Languages with a Sentiment Lexicon.
    P Liu, C Marco, JA Gulla
    INRA@ RecSys, 12-17 , 2019
    2019
    Citations: 6
  • Real-time social recommendation based on graph embedding and temporal context
    P Liu, L Zhang, JA Gulla
    International Journal of Human-Computer Studies 121, 58-72 , 2019
    2019
    Citations: 40
  • Learning Multi-granularity Dynamic Network Representations for Social Recommendation
    P Liu, L Zhang, JA Gulla
    Joint European Conference on Machine Learning and Knowledge Discovery in … , 2018
    2018

MOST CITED SCHOLAR PUBLICATIONS

  • The adressa dataset for news recommendation
    JA Gulla, L Zhang, P Liu, Ö Özgöbek, X Su
    Proceedings of the international conference on web intelligence, 1042-1048 , 2017
    2017
    Citations: 256
  • Pre-train, prompt, and recommendation: A comprehensive survey of language modeling paradigm adaptations in recommender systems
    P Liu, L Zhang, JA Gulla
    Transactions of the Association for Computational Linguistics 11, 1553-1571 , 2023
    2023
    Citations: 173
  • Sarcasm detection in social media based on imbalanced classification
    P Liu, W Chen, G Ou, T Wang, D Yang, K Lei
    International conference on web-age information management, 459-471 , 2014
    2014
    Citations: 142
  • Multilingual review-aware deep recommender system via aspect-based sentiment analysis
    P Liu, L Zhang, JA Gulla
    ACM Transactions on Information Systems (TOIS) 39 (2), 1-33 , 2021
    2021
    Citations: 80
  • Dynamic attention-based explainable recommendation with textual and visual fusion
    P Liu, L Zhang, JA Gulla
    Information Processing & Management 57 (6), 102099 , 2020
    2020
    Citations: 74
  • Dynamic attention-integrated neural network for session-based news recommendation.
    L Zhang, P Liu, JA Gulla
    Machine learning 108 (10), 1851 , 2019
    2019
    Citations: 56
  • A deep joint network for session-based news recommendations with contextual augmentation
    L Zhang, P Liu, JA Gulla
    Proceedings of the 29th on Hypertext and Social Media, 201-209 , 2018
    2018
    Citations: 47
  • Real-time social recommendation based on graph embedding and temporal context
    P Liu, L Zhang, JA Gulla
    International Journal of Human-Computer Studies 121, 58-72 , 2019
    2019
    Citations: 40
  • PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
    L Zhang, P Liu, MTO Henriksboe, EW Lauvrak, JA Gulla, H Ramampiaro
    NeurIPS 2024 Track on Datasets and Benchmarks , 2024
    2024
    Citations: 20
  • Nlebench+ norglm: A comprehensive empirical analysis and benchmark dataset for generative language models in norwegian
    P Liu, L Zhang, T Farup, EW Lauvrak, JE Ingvaldsen, S Eide, JA Gulla, ...
    The 2024 Conference on Empirical Methods in Natural Language Processing … , 2024
    2024
    Citations: 13
  • Dynamic topic-based sentiment analysis of large-scale online news
    P Liu, JA Gulla, L Zhang
    International Conference on Web Information Systems Engineering, 3-18 , 2016
    2016
    Citations: 13
  • Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges
    L Zhang, P Liu, Y Deldjoo, Y Zheng, JA Gulla
    The 27th European Conference on Artificial Intelligence (ECAI 2024) , 2024
    2024
    Citations: 12
  • Recommending on graphs: A comprehensive review from a data perspective
    L Zhang, P Liu, JA Gulla
    User Modeling and User-Adapted Interaction 33 (4), 803-888 , 2023
    2023
    Citations: 10
  • A neural time series forecasting model for user interests prediction on Twitter
    L Zhang, P Liu, JA Gulla
    Proceedings of the 25th Conference on User Modeling, Adaptation and … , 2017
    2017
    Citations: 8
  • Semi-supervised Sentiment Analysis for Under-Resourced Languages with a Sentiment Lexicon.
    P Liu, C Marco, JA Gulla
    INRA@ RecSys, 12-17 , 2019
    2019
    Citations: 6
  • The Impact of Copyrighted Material on Large Language Models: A Norwegian Perspective
    J De La Rosa, V Mikhailov, L Zhang, F Wetjen, D Samuel, P Liu, ...
    The Joint 25th Nordic Conference on Computational Linguistics and 11th … , 2025
    2025
    Citations: 5
  • Balancing multi-domain corpora learning for open-domain response generation
    Y Xing, J Cai, N Barlaug, P Liu, JA Gulla
    Findings of the Association for Computational Linguistics: NAACL 2022, 2104-2120 , 2022
    2022
    Citations: 5
  • Aspect-specific polarity-aware summarization of online reviews
    G Ou, W Chen, P Liu, T Wang, D Yang, K Lei, Y Liu
    International Conference on Web-Age Information Management, 289-300 , 2013
    2013
    Citations: 5
  • Prompt and instruction-based tuning for response generation in conversational question answering
    Y Xing, P Liu
    International conference on applications of natural language to information … , 2023
    2023
    Citations: 4
  • The 10th International Workshop on News Recommendation and Analytics (INRA 2022)
    Ö Özgöbek, A Lommatzsch, B Kille, P Liu, JA Gulla, EC Malthouse
    Proceedings of the 45th International ACM SIGIR Conference on Research and … , 2022
    2022
    Citations: 4