🔗 Who cites «Successor Heads: Recurring, Interpretable Attention Heads In The Wild»

35 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 «Successor Heads: Recurring, Interpretable Attention Heads In The Wild»

1. Mechanistic Interpretability for AI Safety — A ReviewarXiv:2404.14082Leonard Bereska, Efstratios Gavves2024 · 108 citations
2. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
3. A Primer on the Inner Workings of Transformer-based Language ModelsarXiv:2405.00208Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.2024 · 72 citations
4. A Practical Review of Mechanistic Interpretability for Transformer-Based Language ModelsarXiv:2407.02646Daking Rai, Yilun Zhou, Shi Feng, et al.2024 · 58 citations
5. Arithmetic Without Algorithms: Language Models Solve Math With a Bag of HeuristicsarXiv:2410.21272Yaniv Nikankin, Anja Reusch, Aaron Mueller, et al.2024 · 51 citations
6. Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zeping Yu, Yonatan Belinkov, Sophia Ananiadou2025 · 16 citations
7. Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhipeng Yang, Junzhuo Li, Siyu Xia, et al.2025 · 7 citations
8. Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Shenglai Zeng, Tianqi Zheng, Chuan Tian, et al.2026
9. DKME: Rethinking Coupled Knowledge Memory for Lifelong Model Editing of Large Language ModelsFindings of the Association for Computational LinguisticsGuanyu Zheng, Wang Zhenyu, He Tingting, et al.2026
10. Unveiling Inherent Visual Grounding in Multimodal LLMs for Text-Rich ImagesFindings of the Association for Computational LinguisticsShijie Zhou, Jihyung Kil, Ming Li, et al.2026

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

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