🔗 Who cites «Premise Order Matters in Reasoning with Large Language Models»

55 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · ← back to «Premise Order Matters in Reasoning with Large Language Models»

1. A Peek into Token Bias: Large Language Models Are Not Yet Genuine ReasonersConference on Empirical Methods in Natural Language Processing (EMNLP)Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, et al.2024 · 64 citations
2. Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models — A SurveyarXiv:2404.01869Philipp Mondorf, Barbara Plank2024 · 53 citations
3. On Memorization of Large Language Models in Logical ReasoningInternational Joint Conference on Natural Language Processing (IJCNLP)Chulin Xie, Yangsibo Huang, Chiyuan Zhang, et al.2025 · 45 citations
4. LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting ProblemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nan Xu, Xuezhe Ma2025 · 17 citations
5. Quantifying the Impact of Structured Output Format on Large Language Models through Causal InferenceFindings of the Association for Computational LinguisticsHan Yuan, Yue Zhao, Li Zhang, et al.2026 · 2 citations
6. When LLMs Annotate: Reliability Challenges in Low-Resource NLIWorkshop on Language Models for Low-Resource LanguagesSolmaz Panahi, John Kelleher, Vasudevan Nedumpozhimana2026 · 1 citation
7. Did You Forget What I Asked? Prospective Memory Failures in Large Language ModelsWorkshop on Trustworthy NLPAvni Mittal2026
8. GSM-Noise: Exploring and Enhancing Large Language Models' Reasoning under Noisy InputsFindings of the Association for Computational LinguisticsZhengxin Zhang, Chengyu Huang, Xufu Liu, et al.2026
9. Reliable Use of Lemmas via Eligibility Reasoning and Section-Aware Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhikun Xu, Xiaodong Yu, Ben Zhou, et al.2026
10. Tracing the Light of Thought: A Probabilistic Self- and Cross-Consistency Verification Mechanism Improving Mathematical Reasoning in LLMsFindings of the Association for Computational LinguisticsXiaoyang Liu, Dawei Wang, Tian Li, et al.2026
11. Vertical Routing: A Cost-Efficient Collaboration Routing FrameworkTransactions of the Association for Computational Linguistics (TACL)Si Shen, Peijun Shen, Danhao Zhu2026

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

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