🔗 Who cites «ReFT: Representation Finetuning for Language Models»

60 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · ← back to «ReFT: Representation Finetuning for Language Models»

1. Mechanistic Interpretability for AI Safety — A ReviewarXiv:2404.14082Leonard Bereska, Efstratios Gavves2024 · 108 citations
2. A Primer on the Inner Workings of Transformer-based Language ModelsarXiv:2405.00208Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.2024 · 72 citations
3. LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Jinhe Bi, Yujun Wang, Haokun Chen, et al.2025 · 24 citations
4. 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
5. 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
6. Localized Cultural Knowledge is Conserved and Controllable in Large Language ModelsFindings of the Association for Computational LinguisticsVeniamin Veselovsky, Berke Argın, Benedikt Stroebl, et al.2026 · 7 citations
7. 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
8. Towards Context-Robust LLMs: A Gated Representation Fine-tuning ApproachAnnual Meeting of the Association for Computational Linguistics (ACL)Shenglai Zeng, Pengfei He, Kai Guo, et al.2025 · 5 citations
9. 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
10. Polynomial Expansion Rank Adaptation: Enhancing Low-Rank Fine-Tuning with High-Order InteractionsFindings of the Association for Computational LinguisticsWenhao Zhang, Lin Mu, Li Ni, et al.2026 · 1 citation
11. FedReFT: Federated Representation Fine-Tuning with All-But-Me AggregationFindings of the Association for Computational LinguisticsFatema Siddika, Md Anwar Hossen, Juan Pablo Munoz, et al.2026
12. PILOT: Planning via Internalized Latent Optimization Trajectories for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoyu Zheng, Yun Zhu, Yuqian Yuan, et al.2026
13. TARE: Lightweight Token-Aware Representation Editing for Fine-tuning Transformer-like ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yulong Wang, Siyu Zhao2026
14. Where Paths Split: Localized, Calibrated Control of Moral Reasoning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chenchen Yuan, Zheyu Zhang, Gjergji Kasneci2026

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

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