Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 16 Peace, Justice and Strong Institutions
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Dive into the research topics where Bingquan Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Analyzing how pre-trained language models capture factual knowledge using attribution methods
Li, S., Sun, C., Liu, B., Li, X., Shang, L., Dong, Z., Ji, Z., Jiang, X. & Liu, Q., 22 Apr 2026, In: Knowledge-Based Systems. 339, 115553.Research output: Contribution to journal › Article › peer-review
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Capturing Cross-Modal Semantics by Generating Comments for Image-Text Contents
Qian, S., Liu, B., Sun, C., Xu, Z. & Wang, B., 2026, Pattern Recognition and Computer Vision - 8th Chinese Conference, PRCV 2025, Proceedings. Kittler, J., Xiong, H., Yang, J., Chen, X., Lu, J., Lin, W., Yu, J. & Zheng, W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 135-148 14 p. (Lecture Notes in Computer Science; vol. 16277 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Dynamic Multi-views In-Context Learning with Large Language Models for Aspect-Based Sentiment Analysis
Wang, Y., Zhang, Z., Shan, L. & Liu, B., 2026, Natural Language Processing and Chinese Computing - 14th National CCF Conference, NLPCC 2025, Proceedings. Mao, X.-L., Ren, Z. & Yang, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 588-601 14 p. (Lecture Notes in Computer Science; vol. 16104 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Enhancing Compositional Reasoning in Multimodal Large Language Models
Qian, S., Liu, B., Sun, C., Xu, Z. & Wang, B., 2026, Pattern Recognition and Computer Vision - 8th Chinese Conference, PRCV 2025, Proceedings. Kittler, J., Xiong, H., Yang, J., Chen, X., Lu, J., Lin, W., Yu, J. & Zheng, W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 76-90 15 p. (Lecture Notes in Computer Science; vol. 16277 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A Dual Contrastive Learning Framework for Enhanced Multimodal Conversational Emotion Recognition
Xie, Y., Sun, C., Cao, Z., Liu, B., Ji, Z., Liu, Y. & Shan, L., 2025, Main Conference. Rambow, O., Wanner, L., Apidianaki, M., Al-Khalifa, H., Di Eugenio, B. & Schockaert, S. (eds.). Association for Computational Linguistics (ACL), p. 4055-4065 11 p. (Proceedings - International Conference on Computational Linguistics, COLING).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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