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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
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publications
A Hybrid Detection and Generation Framework with Separate Encoders for Event Extraction
Published in Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), 2023
Uses separate encoders for event detection and argument extraction, bridged by joint training, to reduce feature interference between the two subtasks. (* Equal contribution)
Recommended citation: Ge Shi*, Yunyue Su*, Yongliang Ma, Ming Zhou. (2023). "A Hybrid Detection and Generation Framework with Separate Encoders for Event Extraction." Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pp. 3163-3180.
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GraphFM: Graph Factorization Machines for Feature Interaction Modelling
Published in Machine Intelligence Research, 2025
Integrates graph neural networks into factorization machines, modelling feature interactions from a graph perspective to capture high-order interactions while filtering out noisy ones.
Recommended citation: Shu Wu, Zekun Li, Yunyue Su, Zeyu Cui, Xiaoyu Zhang, Liang Wang. (2025). "GraphFM: Graph Factorization Machines for Feature Interaction Modelling." Machine Intelligence Research, 22(2), 239-253.
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GenPilot: A Multi-Agent System for Test-Time Prompt Optimization in Image Generation
Published in Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
A plug-and-play multi-agent system that optimizes text-to-image prompts at test time through error analysis, clustering-based adaptive exploration and fine-grained verification.
Recommended citation: Wen Ye, Zhaocheng Liu, Yuwei Gui, Tingyu Yuan, Yunyue Su, Bowen Fang, Chaoyang Zhao, Qiang Liu, Liang Wang. (2025). "GenPilot: A Multi-Agent System for Test-Time Prompt Optimization in Image Generation." Findings of the Association for Computational Linguistics: EMNLP 2025, pp. 929-958.
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Toolscaler: Scalable Generative Tool Calling via Structure-Aware Semantic Tokenization
Published in Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Enables LLMs to call large-scale toolkits (over 47,000 tools) by unifying tool representation, retrieval and calling in a single generative process, using structure-aware semantic tokenization and post-guided iterative training.
Recommended citation: Yunyue Su, Zhang Jinshuai, Bowen Fang, Wen Ye, Jinghao Zhang, Bowen Song, Weiqiang Wang, Qiang Liu, Liang Wang. (2025). "Toolscaler: Scalable Generative Tool Calling via Structure-Aware Semantic Tokenization." Findings of the Association for Computational Linguistics: EMNLP 2025, pp. 556-578.
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ToolWeaver: Weaving Collaborative Semantics for Scalable Tool Use in Large Language Models
Published in International Conference on Learning Representations (ICLR 2026), 2026
A generative tool learning framework that encodes tools into hierarchical code sequences, so that vocabulary growth is logarithmic in the number of tools and the LLM can learn collaborative tool relationships.
Recommended citation: Bowen Fang, Wen Ye, Yunyue Su, Jinghao Zhang, Qiang Liu, Yesheng Liu, Xin Sun, Shu Wu, Jiabing Yang, Baole Wei, Liang Wang. (2026). "ToolWeaver: Weaving Collaborative Semantics for Scalable Tool Use in Large Language Models." International Conference on Learning Representations (ICLR), pp. 90654-90684.
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SpectraLLM: Uncovering the Ability of LLMs for Molecular Structure Elucidation from Multi-Spectral Data
Published in International Conference on Learning Representations (ICLR 2026), 2026
A large language model that performs end-to-end molecular structure elucidation by reasoning over one or multiple spectra (IR, Raman, UV-Vis, NMR and MS) in a shared language space.
Recommended citation: Yunyue Su, Jiahui Chen, Zao Jiang, Zhenyi Zhong, Liang Wang, Qiang Liu, Zhaoxiang Zhang. (2026). "SpectraLLM: Uncovering the Ability of LLMs for Molecular Structure Elucidation from Multi-Spectral Data." International Conference on Learning Representations (ICLR), pp. 25079-25117.
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Sycophancy Suppression Can Impair Rational Updating: Anti-Sycophancy Should Preserve the Ability to Update
Published in Findings of the Association for Computational Linguistics: EMNLP 2026, 2026
A two-turn evaluation framework that separates unsupported yielding from rational updating, showing that anti-sycophancy methods often reduce one at the cost of the other.
Recommended citation: Huanhuan Ma, Henry Peng Zou, Chengze Li, Enze Ma, Yunyue Su, Philip S. Yu. (2026). "Sycophancy Suppression Can Impair Rational Updating: Anti-Sycophancy Should Preserve the Ability to Update." Findings of the Association for Computational Linguistics: EMNLP 2026, pp. 25499-25515.
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XDecomposer: Learning Prior-Free Set Decomposition for Multiphase X-ray Diffraction
Published in Conference on Neural Information Processing Systems (NeurIPS 2026), to appear, 2026
A prior-free framework that formulates multiphase powder X-ray diffraction analysis as set prediction, jointly decomposing mixtures and identifying their constituent phases without candidate phase lists or templates.
Recommended citation: Hanyu Gao, Bin Cao, Yunyue Su, Tong-Yi Zhang, Qiang Liu. (2026). "XDecomposer: Learning Prior-Free Set Decomposition for Multiphase X-ray Diffraction." Conference on Neural Information Processing Systems (NeurIPS), to appear.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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