🔗 Who cites «Thought Anchors: Which LLM Reasoning Steps Matter?»

42 papers of our library cite it (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · ← back to «Thought Anchors: Which LLM Reasoning Steps Matter?»

1. Measuring Chain of Thought Faithfulness by Unlearning Reasoning StepsConference on Empirical Methods in Natural Language Processing (EMNLP)Martin Tutek, Fateme Hashemi Chaleshtori, Ana Marasovic, et al.2025 · 15 citations
2. Qwen-Scope: Turning Sparse Features into Development Tools for Large Language ModelsarXiv:2605.11887Boyi Deng, Xu Wang, Yaoning Wang, et al.2026 · 3 citations
3. C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Thought ReasoningWorkshop on Generation, Evaluation and Metrics (GEM)Avni Mittal, Rauno Arike2026 · 2 citations
4. Do LLMs Encode Functional Importance of Reasoning Tokens ?Annual Meeting of the Association for Computational Linguistics (ACL)Janvijay Singh, Dilek Hakkani-Tür2026 · 2 citations
5. When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Xiang, Yixin Ji, Ruotao Xu, et al.2026 · 1 citation
6. Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning ChainsFindings of the Association for Computational LinguisticsSeunghyun Park, Yuanyuan Lei2026 · 1 citation
7. Exploring Layer Activation Dynamic of CoT via Knowledge ProbeAnnual Meeting of the Association for Computational Linguistics (ACL)Chuanxin Zhang, Jiajun Liu, Yao He, et al.2026
8. Improving Chain-of-Thought for Logical Reasoning via Attention-Aware InterventionFindings of the Association for Computational LinguisticsPhuong Minh Nguyen, Dang Huu-Tien, Naoya Inoue2026
9. KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?Transactions of the Association for Computational Linguistics (TACL)Soumadeep Saha, Akshay Chaturvedi, Saptarshi Saha, et al.2026
10. Mind's Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Rohit Sinha, Aditya Sanjiv Kanade, Sai Srinivas Kancheti, et al.2026

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

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