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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
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portfolio
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publications
Analyzing international relations from British parliamentary debates
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020
This study examines how different voting rules affect citizens’ perception of legitimacy in a democratic government, underscoring the importance of how preferences are expressed and considered in political decision-making.
Recommended citation: Junling Wang, Yuehan Zhang, Jiani Huang, Jiayu Shen, Yiyang Wang, Jiamin Wang, Jiming Hu, Wei Lu. (2015). "Analyzing international relations from British parliamentary debates." Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020. 2020. https://dl.acm.org/doi/proceedings/10.1145/3383583
How has academia responded to the urgent needs created by COVID-19? A multi-level global, regional and national analysis
Journal of Information Science, 2024
This paper analyzes global academic responses to the COVID-19 pandemic, examining publication patterns, research focus, and scientific collaborations, and highlights the dynamic, country-specific responses and the importance of a diverse knowledge base in addressing pandemic-related challenges.
Recommended citation: Wenjing Zhao, Lin Zhang, Junling Wang, Lili Wang. (2024). "How has academia responded to the urgent needs created by COVID-19? A multi-level global, regional and national analysis." Journal of Information Science. 50.1 (2024): 162-188. https://journals.sagepub.com/doi/full/10.1177/01655515221084646
How voting rules impact legitimacy
Humanities and Social Sciences Communications, 2024
We examine how voting methods and decision-making contexts influence perceived legitimacy.
Recommended citation: Carina I. Hausladen, Regula Hänggli Fricker, Dirk Helbing, Renato Kunz, Junling Wang, Evangelos Pournaras. (2024). "How voting rules impact legitimacy." Humanities and Social Sciences Communications, 11, 689. https://www.nature.com/articles/s41599-024-03056-8
Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots
Findings of the Association for Computational Linguistics: ACL 2024, 2024
We propose a framework for generating synthetic teacher-student interactions grounded in a set of textbooks and build a dataset based on it.
Recommended citation: Junling Wang, Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Mrinmaya Sachan. (2024). "Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots." Findings of the Association for Computational Linguistics: ACL 2024. https://aclanthology.org/2024.findings-acl.578/
DBox: Scaffolding Algorithmic Programming Learning through Learner-LLM Co-Decomposition
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI 2025), 2025
DBox supports algorithmic programming practice by helping learners decompose problems collaboratively with an LLM.
Recommended citation: Shuai Ma, Junling Wang, Yuanhao Zhang, Xiaojuan Ma, April Yi Wang. (2025). "DBox: Scaffolding Algorithmic Programming Learning through Learner-LLM Co-Decomposition." Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI 2025). https://arxiv.org/abs/2502.19133
Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models
Findings of the Association for Computational Linguistics: ACL 2025, 2025
Math2Visual generates instructional illustrations for math word problems and provides a benchmark for evaluating educational image generation.
Recommended citation: Junling Wang, Anna Rutkiewicz, April Yi Wang, Mrinmaya Sachan. (2025). "Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models." Findings of the Association for Computational Linguistics: ACL 2025. https://aclanthology.org/2025.findings-acl.586/
Can Vision-Language Models Solve Visual Math Equations?
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), 2025
We examine how counting, object recognition, and symbolic reasoning affect vision-language models when solving equations represented by images.
Recommended citation: Monjoy Narayan Choudhury*, Junling Wang*, Yifan Hou, Mrinmaya Sachan. (2025). "Can Vision-Language Models Solve Visual Math Equations?." Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025). https://aclanthology.org/2025.emnlp-main.547/
Bridging Instead of Replacing Online Coding Communities with AI through Community-Enriched Chatbot Designs
Proceedings of the ACM on Human-Computer Interaction (PACM HCI), CSCW 2026, 2026
Community-Enriched AI connects coding assistance with resources and social interactions from online communities to support learning and community participation.
Recommended citation: Junling Wang, Lahari Goswami, Gustavo Kreia Umbelino, Kiara Chau, Mrinmaya Sachan, April Yi Wang. (2026). "Bridging Instead of Replacing Online Coding Communities with AI through Community-Enriched Chatbot Designs." Proceedings of the ACM on Human-Computer Interaction (PACM HCI), CSCW 2026. https://arxiv.org/abs/2601.18697
UI Remix: Supporting UI Design Through Interactive Example Retrieval and Remixing
Proceedings of the 31st International Conference on Intelligent User Interfaces (IUI 2026), 2026
UI Remix supports interface design through interactive retrieval and remixing of design examples.
Recommended citation: Junling Wang, Hongyi Lan, Xiaotian Su, Mustafa Doga Dogan, April Yi Wang. (2026). "UI Remix: Supporting UI Design Through Interactive Example Retrieval and Remixing." Proceedings of the 31st International Conference on Intelligent User Interfaces (IUI 2026). https://arxiv.org/abs/2601.18759
SPARC: Separating Perception And Reasoning Circuits for Test-time Scaling of VLMs
Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), 2026
SPARC separates visual perception from reasoning, enabling independent allocation of inference-time computation to each stage.
Recommended citation: Niccolò Avogaro, Nayanika Debnath, Li Mi, Thomas Frick, Junling Wang, Zexue He, Hang Hua, Konrad Schindler, Mattia Rigotti. (2026). "SPARC: Separating Perception And Reasoning Circuits for Test-time Scaling of VLMs." Proceedings of the 43rd International Conference on Machine Learning (ICML 2026). https://arxiv.org/abs/2602.06566
GeoDial: A Multimodal Conversational Tutoring Dataset for Geometry Problem-Solving with Visual Tutor Turns
Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS 2026), 2026
GeoDial pairs geometry tutoring conversations with instructional diagram highlights to support the development of multimodal tutoring systems.
Recommended citation: Sankalan Pal Chowdhury*, Junling Wang*, Donya Rooein, April Yi Wang, Mrinmaya Sachan. (2026). "GeoDial: A Multimodal Conversational Tutoring Dataset for Geometry Problem-Solving with Visual Tutor Turns." Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS 2026). https://arxiv.org/abs/2606.12419
When Should Teachers Control AI Generation for Mathematics Visuals?
ACM Conference on Learning at Scale (L@S 2026), 2026
We investigate how teachers can guide AI generation of mathematical visuals to meet instructional needs.
Recommended citation: Zhengxu Li*, Junling Wang*, April Yi Wang. (2026). "When Should Teachers Control AI Generation for Mathematics Visuals?." ACM Conference on Learning at Scale (L@S 2026). https://arxiv.org/abs/2605.10672
Unveiling the Visual Counting Bottleneck in Vision-Language Models
Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), 2026
We investigate why vision-language models struggle to count beyond training distributions, tracing failures to the mapping from visual quantities to symbolic numbers.
Recommended citation: Xingzhou Pang, Yifan Hou, Junling Wang, Mrinmaya Sachan. (2026). "Unveiling the Visual Counting Bottleneck in Vision-Language Models." Proceedings of the 43rd International Conference on Machine Learning (ICML 2026). https://arxiv.org/abs/2605.30170
Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), 2026
LFTutor combines Socratic questioning and critical argumentation to help learners identify logical fallacies and reflect on their reasoning.
Recommended citation: Minjing Shi, Junling Wang, Jingwei Ni, Sankalan Pal Chowdhury, Mrinmaya Sachan. (2026). "Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation." Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026). https://aclanthology.org/2026.acl-long.2209/
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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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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