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Kathleen Kenealy
Kathleen Kenealy
Software Engineer, Google Brain
Verified email at google.com
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Cited by
Year
PaLM 2 Technical Report
R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ...
arXiv preprint arXiv:2305.10403, 2023
14112023
Gemma: Open models based on gemini research and technology
G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ...
arXiv preprint arXiv:2403.08295, 2024
7072024
Gemma 2: Improving open language models at a practical size
G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ...
arXiv preprint arXiv:2408.00118, 2024
1862024
Scaling up models and data with t5x and seqio
A Roberts, HW Chung, G Mishra, A Levskaya, J Bradbury, D Andor, ...
Journal of Machine Learning Research 24 (377), 1-8, 2023
1542023
Beyond human data: Scaling self-training for problem-solving with language models
A Singh, JD Co-Reyes, R Agarwal, A Anand, P Patil, X Garcia, PJ Liu, ...
arXiv preprint arXiv:2312.06585, 2023
632023
PaLM 2 Technical Report.(2023)
R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ...
arXiv preprint arXiv:2305.10403, 2023
512023
Neural generation meets real people: Towards emotionally engaging mixed-initiative conversations
A Paranjape, A See, K Kenealy, H Li, A Hardy, P Qi, KR Sadagopan, ...
arXiv preprint arXiv:2008.12348, 2020
482020
Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent
EA Chi, A Paranjape, A See, C Chiam, K Kenealy, SK Lim, A Hardy, ...
arXiv preprint arXiv:2207.12021, 2022
112022
Transformers and pointer-generator networks for abstractive summarization
J Deaton, A Jacobs, K Kenealy, A See
92019
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models
A Botev, S De, SL Smith, A Fernando, GC Muraru, R Haroun, L Berrada, ...
arXiv preprint arXiv:2404.07839, 2024
52024
Transfer Learning for Text Diffusion Models
K Han, K Kenealy, A Barua, N Fiedel, N Constant
arXiv preprint arXiv:2401.17181, 2024
22024
Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability
J Hron, L Culp, G Elsayed, R Liu, B Adlam, M Bileschi, B Bohnet, ...
arXiv preprint arXiv:2408.07852, 2024
12024
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