Warkentin, Tris
8 papers on CoChat
Most cited papers
- Verified
Gemma 3 Technical Report
Gemma Team, Kamath, A., Ferret, J., Pathak, S., Vieillard, N., Merhej, R., Perrin, S., Matejovicova, T., Ramé, A., Rivière, M., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 1,156
- Verified
Gemma: Open Models Based on Gemini Research and Technology
Gemma Team, Mesnard, T., Hardin, C., Dadashi, R., Bhupatiraju, S., Pathak, S., Sifre, L., Rivière, M., Kale, M. S., Love, J., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 284
- Verified
Levels of AGI for Operationalizing Progress on the Path to AGI
Morris, M. R., Sohl-Dickstein, J., Fiedel, N., Warkentin, T., Dafoe, A., Faust, A., Farabet, C., & Legg, S. (2023) · arXiv
Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications
Cited by 274
- Verified
Gemma 2: Improving Open Language Models at a Practical Size
Gemma Team, Riviere, M., Pathak, S., Sessa, P. G., Hardin, C., Bhupatiraju, S., Hussenot, L., Mesnard, T., Shahriari, B., Ramé, A., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 149
- Verified
Gemma 4 Technical Report
Gemma Team, Abd, S. E., Aggarwal, V., Algayres, R., Andreev, A., Bachem, O., Ballantyne, I., Brick, C., Cărbune, V., Casbon, M., et al. (2026) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 112
- Verified
MedGemma Technical Report
Sellergren, A., Kazemzadeh, S., Jaroensri, T., Kiraly, A., Traverse, M., Kohlberger, T., Xu, S., Jamil, F., Hughes, C., Lau, C., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 49
- Verified
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Singh, A., Co-Reyes, J. D., Agarwal, R., Anand, A., Patil, P., Garcia, X., Liu, P. J., Harrison, J., Lee, J., Xu, K., et al. (2023) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 10
- Verified
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models
Botev, A., De, S., Smith, S. L., Fernando, A., Muraru, G.-C., Haroun, R., Berrada, L., Pascanu, R., Sessa, P. G., Dadashi, R., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 5
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