Function Vectors for Summarization

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The original function vector paper only worked on very simple tasks. Can we generalize to more complicated functions such as summarization? If so, can we decode from such function vectors what constraints LLMs by default use in summarization?

Implemented:https://github.com/Hypogenic-AI/function-vectors-nlp-d7c3-claude Implemented:https://github.com/Hypogenic-AI/function-vectors-nlp-2537-codex Implemented:https://github.com/Hypogenic-AI/function-vectors-nlp-299e-gemini

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If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:

@misc{tan-function-vectors-for-2026,
  author = {Tan, Chenhao},
  title = {Function Vectors for Summarization},
  year = {2026},
  url = {https://hypogenic.ai/ideahub/idea/KkfkXSWNflynOWB2ijTl}
}

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