🔗 Who cites «A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners»

31 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners»

1. GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language ModelsarXiv:2410.05229Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, et al.2024 · 273 citations
2. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 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. Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal ThinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Yilong Chen, Junyuan Shang, Zhenyu Zhang, et al.2025 · 16 citations
5. FACT-E: Causality-Inspired Evaluation for Trustworthy Chain-of-Thought ReasoningFindings of the Association for Computational LinguisticsYuxi Sun, Aoqi Zuo, Haotian Xie, et al.2026 · 7 citations
6. Garbage In, Reasoning Out? Why Benchmark Scores are Unreliable and What to Do About ItFindings of the Association for Computational LinguisticsSeyed Mahed Mousavi, Edoardo Cecchinato, Lucia Horníková, et al.2026 · 2 citations
7. CRiT-QA: Evaluating Multi-hop Reasoning with Counterfactual Chains and Distractor TrapsLanguage Resources and Evaluation Conference (LREC)Jungmin Yun, June Hyoung Kwon, Youngbin Kim2026
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

23 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/jiang-2024-peek-into-token-bias-large/cited-by/