Skip to content
DraconiticResearch
Search Sources API
201,818 studies31 sourcesUpdated 39 min ago
PreprintAll rights reservedbioRxiv

From Problems to Solutions: How Self-Questions Drive Strong Scientific Reasoning

  1. 1University of Georgia

Related

  1. BioPhys-Bridge: A Benchmark for Interdisciplinary Scientific Reasoning in Physics-Grounded Biological Research
    Qingyang Xu
    arXivPreprintCC BY 4.0Full textBioinformatics & computational biologyarXiv
  2. The Reasoning Paradox in Scientific Sandboxes: Why Extended Reasoning Fails in Autonomous Bioinformatics and How to Fix It.
    R. O. Salami, D. Amuna, R. A. Akorful +7
    bioRxivPreprintCC BY-NCFull textBioinformatics & computational biologybioRxiv
  3. Context in memory is reconstructed based on retrieval questions
    Jeremy Gardette, Christine Bastin
    Communications PsychologyPeer-reviewedCC BY-NC-ND 4.0Full textNeurosciencePMC
  4. Answering clinicians' questions over trial evidence tables with verifiable, feedback-driven language models
    M. Roy Choudhury, S. Roy Chowdhury, S. Sahoo +5
    bioRxivPreprintCC BYFull textSystems & synthetic biologybioRxiv
  5. Cell-Lens: Advancing LLM Reasoning at Single-Cell Resolution
    y. li, B. Gao, W. Liu +6
    bioRxivPreprintAll rights reservedFull textBioinformatics & computational biologybioRxiv
BibTeX
@misc{clark2026from,
  title = {{From Problems to Solutions: How Self-Questions Drive Strong Scientific Reasoning}},
  author = {N. Clark and T. Montgomery and G. Nafea and T. Aina and J. D. Stanton},
  howpublished = {bioRxiv},
  year = {2026},
  month = oct,
  doi = {10.64898/2026.10.30.762163},
  url = {https://www.biorxiv.org/content/10.64898/2026.10.30.762163v1},
}
RIS
TY  - UNPB
TI  - From Problems to Solutions: How Self-Questions Drive Strong Scientific Reasoning
AU  - N. Clark
AU  - T. Montgomery
AU  - G. Nafea
AU  - T. Aina
AU  - J. D. Stanton
PY  - 2026
DA  - 2026/10/30
PB  - bioRxiv
DO  - 10.64898/2026.10.30.762163
UR  - https://www.biorxiv.org/content/10.64898/2026.10.30.762163v1
ER  -