🧑‍🔬 Who cites Curt Tigges

68 citations of their works from 67 papers of our library (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← Curt Tigges

1. Llemma: An Open Language Model For MathematicsarXiv:2310.10631Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.2023 · 286 citations
2. Refusal in Language Models Is Mediated by a Single DirectionarXiv:2406.11717Andy Arditi, Oscar Obeso, Aaquib Syed, et al.2024 · 196 citations
3. The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False DatasetsarXiv:2310.06824Samuel Marks, Max Tegmark2023 · 169 citations
4. CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionarXiv:2401.03065Alex Gu, Baptiste Rozière, Hugh Leather, et al.2024 · 122 citations
5. A Primer on the Inner Workings of Transformer-based Language ModelsarXiv:2405.00208Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.2024 · 72 citations
6. What Algorithms can Transformers Learn? A Study in Length GeneralizationarXiv:2310.16028Hattie Zhou, Arwen Bradley, Etai Littwin, et al.2023 · 67 citations
7. A Practical Review of Mechanistic Interpretability for Transformer-Based Language ModelsarXiv:2407.02646Daking Rai, Yilun Zhou, Shi Feng, et al.2024 · 58 citations
8. Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model MechanismsarXiv:2403.17806Michael Hanna, Sandro Pezzelle, Yonatan Belinkov2024 · 54 citations
9. Physics of Language Models: Part 1, Learning Hierarchical Language StructuresarXiv:2305.13673Zeyuan Allen-Zhu, Yuanzhi Li2023 · 42 citations
10. CausalGym: Benchmarking causal interpretability methods on linguistic tasksAnnual Meeting of the Association for Computational Linguistics (ACL)Aryaman Arora, Dan Jurafsky, Christopher Potts2024 · 38 citations
11. BioCoder: A Benchmark for Bioinformatics Code Generation with Large Language ModelsBioinformaticsXiangru Tang, Bill Qian, Rick Gao, et al.2023 · 38 citations
12. Calibrating Verbal Uncertainty as a Linear Feature to Reduce HallucinationsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziwei Ji, Lei Yu, Yeskendir Koishekenov, et al.2025 · 11 citations
13. Paths Not Taken: Understanding and Mending the Multilingual Factual Recall PipelineConference on Empirical Methods in Natural Language Processing (EMNLP)Meng Lu, Ruochen Zhang, Carsten Eickhoff, et al.2025 · 9 citations
14. The Quest for the Right Mediator: Surveying Mechanistic Interpretability for NLP Through the Lens of Causal Mediation AnalysisComputational LinguisticsAaron Mueller, Jannik Brinkmann, Millicent Li, et al.2026 · 7 citations
15. Why Steering Works: Toward a Unified View of Language Model Parameter DynamicsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziwen Xu, Chenyan WU, Hengyu Sun, et al.2026 · 1 citation
16. AdaptiveK: Complexity-Driven Sparse Autoencoders for Interpretable Language Model RepresentationsFindings of the Association for Computational LinguisticsYifei Yao, Hanrong Zhang, Mengnan Du2026
17. Graph-Based Alternatives to LLMs for Human SimulationAnnual Meeting of the Association for Computational Linguistics (ACL)Joseph Suh, Suhong Moon, Serina Chang2026
18. How Controllable Are Large Language Models? A Unified Evaluation across Behavioral GranularitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Ziwen Xu, Kewei Xu, Haoming Xu, et al.2026

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