Translational Reprogramming

Translational Reprogramming is a computational method in the field of translation control that dynamically alters the decoding process of pre-trained language models to adapt their output behavior without modifying the model parameters, thereby enabling context-sensitive generation through external control signals.

55

Publications

3.2K

Citations

546

Authors

228

Institutions

Publications per year

2017–2026

39

Authors

546

  1. XD
    Xinnian Dong

    Duke University, United States

    4 publications · 493 citations

    4

    h-index

  2. MH
    Maria Hatzoglou

    Case Western Reserve University, United States

    3 publications · 418 citations

    3

    h-index

  3. LL
    Lijing Liu

    Institute of Genetics and Developmental Biology, China

    3 publications · 417 citations

    3

    h-index

  4. GX
    Guoyong Xu

    Wuhan University, China

    3 publications · 417 citations

    3

    h-index

  5. GH
    George H. Greene

    Duke University, United States

    3 publications · 417 citations

    3

    h-index

1–5 of 546

Venues

  1. Nature Communications

    6 publications · 367 citations

    6

    h-index

  2. Cell Reports

    3 publications · 184 citations

    3

    h-index

  3. Nature

    2 publications · 330 citations

    2

    h-index

  4. NAR Cancer

    2 publications · 100 citations

    2

    h-index

  5. eLife

    2 publications · 227 citations

    2

    h-index

1–5