ACROS induces explicit sense representations in frozen decoder LMs via gated residual addition, enabling competitive zero-shot WSD, lexical steering, and cross-lingual adaptation on SmolLM2-360M while preserving base quality.
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4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 4verdicts
UNVERDICTED 4representative citing papers
LOKI enables memory-free lifelong knowledge editing via HSIC-based dynamic layer selection and null-space constrained updates, reporting up to 14% higher average accuracy than prior methods.
Proposes AI-driven simulations for literary-historical experiments and reports preliminary text-generation results claiming the first limited in-distribution outputs matching human novels.
This survey organizes intrinsic interpretability approaches for LLMs into five categories—functional transparency, concept alignment, representational decomposability, explicit modularization, and latent sparsity induction—while discussing challenges and future directions.
citing papers explorer
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Sense Representations Are Inducible Interfaces
ACROS induces explicit sense representations in frozen decoder LMs via gated residual addition, enabling competitive zero-shot WSD, lexical steering, and cross-lingual adaptation on SmolLM2-360M while preserving base quality.
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LOKI: Memory-Free Null-Space Constrained Lifelong Knowledge Editing
LOKI enables memory-free lifelong knowledge editing via HSIC-based dynamic layer selection and null-space constrained updates, reporting up to 14% higher average accuracy than prior methods.
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AI as a Tool for Simulation-Based Experiments in Literary Studies
Proposes AI-driven simulations for literary-historical experiments and reports preliminary text-generation results claiming the first limited in-distribution outputs matching human novels.
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Towards Intrinsic Interpretability of Large Language Models:A Survey of Design Principles and Architectures
This survey organizes intrinsic interpretability approaches for LLMs into five categories—functional transparency, concept alignment, representational decomposability, explicit modularization, and latent sparsity induction—while discussing challenges and future directions.