Who cites «Future Lens: Anticipating Subsequent Tokens from a Single Hidden State»
- Mechanistic Interpretability for AI Safety — A ReviewarXiv:2404.14082Leonard Bereska, Efstratios Gavves2024 · 108 citations
- Better & Faster Large Language Models via Multi-token PredictionarXiv:2404.19737Fabian Gloeckle, Badr Youbi Idrissi, Baptiste Roziere, et al.2024 · 90 citations
- Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language ModelsarXiv:2401.06102Asma Ghandeharioun, Avi Caciularu, Adam Pearce, et al.2024 · 84 citations
- A Primer on the Inner Workings of Transformer-based Language ModelsarXiv:2405.00208Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.2024 · 72 citations
- Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?International Conference on Computational Linguistics (COLING)Mingyu Jin, Qinkai Yu, Jingyuan Huang, et al.2025 · 36 citations
- 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
- Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual CounterfactsConference on Empirical Methods in Natural Language Processing (EMNLP)Michal Golovanevsky, William Rudman, Michael A. Lepori, et al.2025 · 8 citations
- Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language ModelsFindings of the Association for Computational LinguisticsWei Zhao, Zhe Li, Yige Li, et al.2026 · 1 citation
- Babies Learn to Look Ahead: Multi-Token Prediction in Small LMsBabyLM WorkshopAnsar Aynetdinov, Alan Akbik2025 · 1 citation
This page in Markdown → https://md.research.elamur.ai/free/en/papers/pal-2023-future-lens-anticipating-subsequent-tokens/cited-by/