A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance | Paper Citation Record

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

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This paper cites NIST AI 100-1 – Artificial Intelligence Risk Management Framework (AI RMF 1.0).National Institute of Standards and Technology, U.S.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance NIST AI 100-1 – Artificial Intelligence Risk Management Framework (AI RMF 1.0).National Institute of Standards and Technology, U.S

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Context Engineering - LLM Memory and Retrieval for AI Agents | Weaviate

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Context Engineering Guide: Techniques for AI Agents | LlamaIndex

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This paper cites Context engineering: Why it’s Replacing Prompt Engineering for Enterprise AI Success.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Context engineering: Why it’s Replacing Prompt Engineering for Enterprise AI Success

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Effective context engineering for AI agents

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Lead the Shift to Context Engineering as Prompt Engineering Fades

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance arcee-ai/mergekit

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance modelscope/ms-swift

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance PEFT·Hugging Face

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance TRL - Transformers Reinforcement Learning·Hugging Face

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance zjunlp/EasyEdit

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Understanding intermediate layers using linear classifier probes

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance context engineering

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Detecting Concept Drift in Neural Networks Using Chi-squared Goodness of Fit Testing

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Constitutional AI: Harmlessness from AI Feedback

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance On the Opportunities and Risks of Foundation Models

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Buehler and Markus J

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Extending Context Window of Large Language Models via Positional Interpolation

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Sparse Autoencoders Find Highly Interpretable Features in Language Models

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance From Local to Global: A Graph RAG Approach to Query-Focused Summarization

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, and Eduard Hovy

Reference 62

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Observation 89ffdb44-95e1-4e4f-b9a7-6e3a98916fd7 · outbound

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Reference 63

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 64

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Reference 66

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 67

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Maybank, and Dacheng Tao

Reference 72

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance 2021), e30545

Reference 73

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Weinberger

Reference 76

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Reference 78

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Reference 79

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Dual Decomposition of Weights and Singular Value Low Rank Adaptation

Reference 80

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 81

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Towards Data Governance of Frontier AI Models

Reference 82

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Reference 83

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Distilling the Knowledge in a Neural Network

Reference 84

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Reference 85

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Reference 86

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Reference 87

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Reference 88

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Reference 89

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 90

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Reference 91

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 92

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 93

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 94

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Reference 95

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Observation b7fe435f-f523-47f4-8f3d-cb709e1f34ac · outbound

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective

Reference 96

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Observation c3d12794-970c-48d4-a1a6-74ce17b38e91 · outbound

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 97

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Observation 96dd7902-55a9-4f11-bc4d-6185805dc829 · outbound

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 98

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Observation 7ce8ee4c-6421-4ed3-a2e2-32be1a504afe · outbound

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 99

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Editing Models with Task Arithmetic

Reference 100

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Pith citing papers