Zobrazeno 1 - 10
of 12 634
pro vyhledávání: '"Pereira J."'
Chatbot interfaces for LLMs enable students to get immediate, interactive help on homework assignments, but even a thoughtfully-designed bot may not serve all pedagogical goals. In this paper, we report on the development and deployment of a GPT-4-ba
Externí odkaz:
http://arxiv.org/abs/2406.05600
Autor:
Qi, Laryn, Zamfirescu-Pereira, J. D., Kim, Taehan, Hartmann, Björn, DeNero, John, Norouzi, Narges
We evaluate an automatic hint generator for CS1 programming assignments powered by GPT-4, a large language model. This system provides natural language guidance about how students can improve their incorrect solutions to short programming exercises.
Externí odkaz:
http://arxiv.org/abs/2406.05603
Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences
Autor:
Shankar, Shreya, Zamfirescu-Pereira, J. D., Hartmann, Björn, Parameswaran, Aditya G., Arawjo, Ian
Due to the cumbersome nature of human evaluation and limitations of code-based evaluation, Large Language Models (LLMs) are increasingly being used to assist humans in evaluating LLM outputs. Yet LLM-generated evaluators simply inherit all the proble
Externí odkaz:
http://arxiv.org/abs/2404.12272
Autor:
Fougères, C., Avila, M. L., Jayatissa, H., Santiago-Gonzalez, D., Brandenburg, K., Meisel, Z., Mohr, P., Montes, F., Műller-Gatermann, C., Neto, D., Ong, W. -J., Pereira, J., Rehm, K. E., Tang, T. L., Tolstukhin, I. A., Varriano, L., Wilson, G., Wu, J.
About half of the heavy elements beyond iron are known to be produced by the rapid neutron capture process, known as r-process. However, the astrophysical site producing the r-process is still uncertain. Chemical abundances observed in several cosmic
Externí odkaz:
http://arxiv.org/abs/2402.01534
Autor:
Lin, Susan, Warner, Jeremy, Zamfirescu-Pereira, J. D., Lee, Matthew G., Jain, Sauhard, Huang, Michael Xuelin, Lertvittayakumjorn, Piyawat, Cai, Shanqing, Zhai, Shumin, Hartmann, Björn, Liu, Can
Dictation enables efficient text input on mobile devices. However, writing with speech can produce disfluent, wordy, and incoherent text and thus requires heavy post-processing. This paper presents Rambler, an LLM-powered graphical user interface tha
Externí odkaz:
http://arxiv.org/abs/2401.10838
Autor:
Shankar, Shreya, Li, Haotian, Asawa, Parth, Hulsebos, Madelon, Lin, Yiming, Zamfirescu-Pereira, J. D., Chase, Harrison, Fu-Hinthorn, Will, Parameswaran, Aditya G., Wu, Eugene
Large language models (LLMs) are being increasingly deployed as part of pipelines that repeatedly process or generate data of some sort. However, a common barrier to deployment are the frequent and often unpredictable errors that plague LLMs. Acknowl
Externí odkaz:
http://arxiv.org/abs/2401.03038
Autor:
Matias, F., Silva, T. F., Koval, N. E., Pereira, J. J. N., Antunes, P. C. G., Siqueira, P. T. D., Tabacniks, M. H., Yoriyaz, H., Shorto, J. M. B., Grande, P. L.
This comprehensive study delves into the intricate interplay between protons and organic polymers, offering insights into proton therapy in cancer treatment. Focusing on the influence of the spatial electron density distribution on stopping power est
Externí odkaz:
http://arxiv.org/abs/2401.02853
Autor:
Almeda, Shm Garanganao, Zamfirescu-Pereira, J. D., Kim, Kyu Won, Rathnam, Pradeep Mani, Hartmann, Bjoern
Design space exploration (DSE) for Text-to-Image (TTI) models entails navigating a vast, opaque space of possible image outputs, through a commensurately vast input space of hyperparameters and prompt text. Minor adjustments to prompt input can surfa
Externí odkaz:
http://arxiv.org/abs/2310.09985
Autor:
Dias-Pereira, J, Andrade, GC, de Araújo, HH, Sant'Anna-Santos, BF, Francino, DMT, Azevedo, AA
Publikováno v:
Journal of Tropical Forest Science, 2024 Jan 01. 36(1), 68-79.
Externí odkaz:
https://www.jstor.org/stable/48758629
Large-scale policing data is vital for detecting inequity in police behavior and policing algorithms. However, one important type of policing data remains largely unavailable within the United States: aggregated police deployment data capturing which
Externí odkaz:
http://arxiv.org/abs/2305.15210