🔗 Who cites «AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders»

59 papers of our library cite it (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · ← back to «AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders»

1. Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target AtomsAnnual Meeting of the Association for Computational Linguistics (ACL)Mengru Wang, Ziwen Xu, Shengyu Mao, et al.2025 · 14 citations
2. SAEs Are Good for Steering – If You Select the Right FeaturesConference on Empirical Methods in Natural Language Processing (EMNLP)Dana Arad, Aaron Mueller, Yonatan Belinkov2025 · 12 citations
3. Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of RaceAnnual Meeting of the Association for Computational Linguistics (ACL)Lihao Sun, Chengzhi Mao, Valentin Hofmann, et al.2025 · 10 citations
4. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language ModelsFindings of the Association for Computational LinguisticsHengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.2026 · 9 citations
5. 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
6. BILLY: Steering Large Language Models via Merging Persona Vectors for Creative GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL)Tsung-Min Pai, Jui-I Wang, Li-Chun Lu, et al.2026 · 4 citations
7. Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model SteeringFindings of the Association for Computational LinguisticsHaiyan Zhao, Xuansheng Wu, Fan Yang, et al.2026 · 3 citations
8. Steering Large Language Models for Machine Translation PersonalizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Daniel Scalena, Gabriele Sarti, Arianna Bisazza, et al.2026 · 3 citations
9. Latent Agents: A Post-Training Procedure for Internalized Multi-Agent DebateAnnual Meeting of the Association for Computational Linguistics (ACL)John Seon Keun Yi, Aaron Mueller, Dokyun Lee2026 · 2 citations
10. Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyuan Yang, Wenxuan Ding, Shangbin Feng, et al.2026 · 1 citation
11. Constructing Interpretable Features from Compositional Neuron GroupsAnnual Meeting of the Association for Computational Linguistics (ACL)Or David Shafran, Atticus Geiger, Mor Geva2026 · 1 citation
12. From Weights to Activations: Is Steering the Next Frontier of Adaptation?Annual Meeting of the Association for Computational Linguistics (ACL)Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.2026 · 1 citation
13. 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
14. AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content AnalysisFindings of the Association for Computational LinguisticsDong She, Xianrong Yao, Liqun Chen, et al.2026
15. From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts?Annual Meeting of the Association for Computational Linguistics (ACL)Aaron Mueller, Andrew Lee, Shruti Joshi, et al.2026
16. From Narrow Unlearning to Emergent Misalignment in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Erum Mushtaq, Anil Ramakrishna, Satyapriya Krishna, et al.2026
17. From Semantics to Style: A Cross-Dataset Comparative Framework for Sentence Similarity PredictionsFindings of the Association for Computational LinguisticsYusuke Yamauchi, Akiko Aizawa2026
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
19. Model Directions, Not Words: Mechanistic Topic Models Using Sparse AutoencodersTransactions of the Association for Computational Linguistics (TACL)Carolina Zheng, Nicolas Beltran-Velez, Sweta Karlekar, et al.2026
20. Output-Space Search: Targeting LLM Generations in a Frozen Encoder-Defined Output SpaceWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraTobias Materzok2026

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