Peng Liu

33 papers A* 3A 3B 2C 1Journal 15Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
NorwAI's Large Language Models: Technical Report.
CoRR
Jon Atle Gulla, Peng Liu, Lemei Zhang
2025 — conf
The Impact of Copyrighted Material on Large Language Models: A Norwegian Perspective.
NoDaLiDa/Baltic-HLT
Javier de la Rosa, Vladislav Mikhailov, Lemei Zhang, Freddy Wetjen, David Samuel, Peng Liu, Rolv-Arild Braaten, Petter Mæhlum, Magnus Breder Birkenes, Andrey Kutuzov, Tita Ranveig Enstad, Hans Christian Farsethås, Svein Arne Brygfjeld, Jon Atle Gulla, Stephan Oepen, Erik Velldal, Wilfred Østgulen, Lilja Øvrelid, Aslak Sira Myhre
2024 A* conf
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian.
EMNLP
Peng Liu, Lemei Zhang, Terje Nissen Farup, Even W. Lauvrak, Jon Espen Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang
2024 A* conf
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models.
NeurIPS
Lemei Zhang, Peng Liu, Marcus Tiedemann Oekland Henriksboe, Even W. Lauvrak, Jon Atle Gulla, Heri Ramampiaro
2024 J jnl
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models.
CoRR
Lemei Zhang, Peng Liu, Marcus Tiedemann Oekland Henriksboe, Even W. Lauvrak, Jon Atle Gulla, Heri Ramampiaro
2024 J jnl
The Impact of Copyrighted Material on Large Language Models: A Norwegian Perspective.
CoRR
Javier de la Rosa, Vladislav Mikhailov, Lemei Zhang, Freddy Wetjen, David Samuel, Peng Liu, Rolv-Arild Braaten, Petter Mæhlum, Magnus Breder Birkenes, Andrey Kutuzov, Tita Ranveig Enstad, Svein Arne Brygfjeld, Jon Atle Gulla, Stephan Oepen, Erik Velldal, Wilfred Østgulen, Lilja Øvrelid, Aslak Sira Myhre
2024 J jnl
Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges.
CoRR
Lemei Zhang, Peng Liu, Yashar Deldjoo, Yong Zheng, Jon Atle Gulla
2023 — ed.
Joint Proceedings of the 10th International Workshop on News Recommendation and Analytics (INRA 2022) and the 3rd International Workshop on Investigating Learning During Web Search (IWILDS 2022) co-located with 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain, July 15, 2022.
INRA/IWILDS@SIGIR
Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Edward C. Malthouse, Jon Atle Gulla, Anett Hoppe, Ran Yu, Jiqun Liu
2023 J jnl
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian.
CoRR
Peng Liu, Lemei Zhang, Terje Nissen Farup, Even W. Lauvrak, Jon Espen Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang
2023 J jnl
Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems.
CoRR
Peng Liu, Lemei Zhang, Jon Atle Gulla
2023 J jnl
Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems.
Trans. Assoc. Comput. Linguistics
Peng Liu, Lemei Zhang, Jon Atle Gulla
2023 C conf
Prompt and Instruction-Based Tuning for Response Generation in Conversational Question Answering.
NLDB
Yujie Xing, Peng Liu
2023 J jnl
Recommending on graphs: a comprehensive review from a data perspective.
User Model. User Adapt. Interact.
Lemei Zhang, Peng Liu, Jon Atle Gulla
2023 J jnl
Report on the 11th International Workshop on News Recommendation and Analytics (INRA 2023) at ACM RecSys 2023.
SIGIR Forum
Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Lemei Zhang, Simen Eide
2023 A conf
The Eleventh International Workshop on News Recommendation and Analytics (INRA'23).
RecSys
Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Simen Eide, Lemei Zhang
2022 — conf
Balancing Multi-Domain Corpora Learning for Open-Domain Response Generation.
NAACL-HLT (Findings)
Yujie Xing, Jinglun Cai, Nils Barlaug, Peng Liu, Jon Atle Gulla
2022 J jnl
Balancing Multi-Domain Corpora Learning for Open-Domain Response Generation.
CoRR
Yujie Xing, Jinglun Cai, Nils Barlaug, Peng Liu, Jon Atle Gulla
2022 B conf
Building Sentiment Lexicons for Mainland Scandinavian Languages Using Machine Translation and Sentence Embeddings.
LREC
Peng Liu, Cristina Marco, Jon Atle Gulla
2022 — ed.
Proceedings of the 9th International Workshop on News Recommendation and Analytics (INRA 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, Netherlands, September 27, 2021.
INRA@RecSys
Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Zhixin Pu, Jon Atle Gulla
2022 J jnl
Recommending on Graphs: A Comprehensive Review from Data Perspective.
CoRR
Lemei Zhang, Peng Liu, Jon Atle Gulla
2022 A* conf
The 10th International Workshop on News Recommendation and Analytics (INRA 2022).
SIGIR
Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Jon Atle Gulla, Edward C. Malthouse
2021 A conf
9th International Workshop on News Recommendation and Analytics.
RecSys
Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Zhixin Pu, Jon Atle Gulla
2021 J jnl
Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis.
ACM Trans. Inf. Syst.
Peng Liu, Lemei Zhang, Jon Atle Gulla
2020 J jnl
Dynamic attention-based explainable recommendation with textual and visual fusion.
Inf. Process. Manag.
Peng Liu, Lemei Zhang, Jon Atle Gulla
2020 — —
Exploiting Latent Context for Effective Social Recommendation.
Peng Liu
2019 J jnl
Dynamic attention-integrated neural network for session-based news recommendation.
Mach. Learn.
Lemei Zhang, Peng Liu, Jon Atle Gulla
2019 J jnl
Real-time social recommendation based on graph embedding and temporal context.
Int. J. Hum. Comput. Stud.
Peng Liu, Lemei Zhang, Jon Atle Gulla
2019 — conf
Semi-supervised Sentiment Analysis for Under-Resourced Languages with a Sentiment Lexicon.
INRA@RecSys
Peng Liu, Cristina Marco, Jon Atle Gulla
2018 — conf
A Deep Joint Network for Session-based News Recommendations with Contextual Augmentation.
HT
Lemei Zhang, Peng Liu, Jon Atle Gulla
2018 — conf
Learning Multi-granularity Dynamic Network Representations for Social Recommendation.
ECML/PKDD (2)
Peng Liu, Lemei Zhang, Jon Atle Gulla
2017 A conf
A Neural Time Series Forecasting Model for User Interests Prediction On Twitter.
UMAP
Lemei Zhang, Peng Liu, Jon Atle Gulla
2017 B conf
The Adressa dataset for news recommendation.
WI
Jon Atle Gulla, Lemei Zhang, Peng Liu, Özlem Özgöbek, Xiaomeng Su
2016 — conf
Dynamic Topic-Based Sentiment Analysis of Large-Scale Online News.
WISE (2)
Peng Liu, Jon Atle Gulla, Lemei Zhang