🔗 Who cites «Large Language Models Are Neurosymbolic Reasoners»

15 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Large Language Models Are Neurosymbolic Reasoners»

1. A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic SystemsarXiv:2504.09037Zixuan Ke, Fangkai Jiao, Yifei Ming, et al.2025 · 39 citations
2. Answer Convergence as a Signal for Early Stopping in ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Xin Liu, Lu Wang2025 · 22 citations
3. Mastering Board Games by External and Internal Planning with Language ModelsarXiv:2412.12119John Schultz, Jakub Adamek, Matej Jusup, et al.2024 · 14 citations
4. Incentivizing Strong Reasoning from Weak SupervisionConference of the European Chapter of the Association for Computational Linguistics (EACL)Yige Yuan, Teng Xiao, Shuchang Tao, et al.2026 · 1 citation
5. Map-of-Actions: Deliberate Reasoning over Multi-Labeled GraphsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraWuguang Ni, Kai Yang2026
6. Signals Are Not States: Neuro-Symbolic Safeguards for Culturally Aware Classroom AIWorkshop on Stereotypes Across Cultures in Language TechnologiesBagheri Nezhad, Sina2026

9 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/fang-2024-large-language-models-neurosymbolic/cited-by/