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Zekun Wang

Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models
2026 · Runxuan Liu, Xianhao Ou, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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CobwebTM: Probabilistic Concept Formation for Lifelong and Hierarchical Topic Modeling
2026 · Karthik Singaravadivelan, Anant Gupta, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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LOTUS: Evolving Multimodal Unlearning via Hyperbolic Entailment and Lorentz Transport
2026 · Zekun Wang, Jingjie Zeng, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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PARIF: Pushing the Pareto Frontier of Instruction Following and Reasoning with Curriculum Reinforcement Learning
2026 · Rongchuan Mu, Zexin Wang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Grounded Concreteness: Human-Like Concreteness Sensitivity in Vision–Language Models
2026 · Aryan Roy, Zekun Wang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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GLA: Grounding Large Language Models in Molecular Hierarchy for Chemical Understanding
2026 · Yingxu Li, Jingjie Zeng, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Works count: 6
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