Zobrazeno 1 - 10
of 30
pro vyhledávání: '"DeNero, John"'
Small-group tutoring in Computer Science (CS) is effective, but presents the challenge of providing a dedicated tutor for each group and encouraging collaboration among group members at scale. We present Pensieve Discuss, a software platform that int
Externí odkaz:
http://arxiv.org/abs/2407.17007
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
Publikováno v:
JMIR Research Protocols, Vol 9, Iss 7, p e16543 (2020)
BackgroundIndividuals are increasingly turning to search engines like Google to obtain health information and access resources. Analysis of Google search queries offers a novel approach, which is part of the methodological toolkit for infodemiology o
Externí odkaz:
https://doaj.org/article/c3ef0d9cfa754deebd22f0be075375fc
While neural networks demonstrate a remarkable ability to model linguistic content, capturing contextual information related to a speaker's conversational role is an open area of research. In this work, we analyze the effect of speaker role on langua
Externí odkaz:
http://arxiv.org/abs/2207.02253
We introduce translation error correction (TEC), the task of automatically correcting human-generated translations. Imperfections in machine translations (MT) have long motivated systems for improving translations post-hoc with automatic post-editing
Externí odkaz:
http://arxiv.org/abs/2206.08593
The undergraduate data science curriculum at the University of California, Berkeley is anchored in five new courses that emphasize computational thinking, inferential thinking, and working on real-world problems. We believe that interleaving these el
Externí odkaz:
http://arxiv.org/abs/2102.09391
Precision medicine has the potential to revolutionize healthcare, but much of the data for patients is locked away in unstructured free-text, limiting research and delivery of effective personalized treatments. Generating large annotated datasets for
Externí odkaz:
http://arxiv.org/abs/2012.08113
We propose an efficient batching strategy for variable-length decoding on GPU architectures. During decoding, when candidates terminate or are pruned according to heuristics, our streaming approach periodically "refills" the batch before proceeding w
Externí odkaz:
http://arxiv.org/abs/2010.02164
Word alignment was once a core unsupervised learning task in natural language processing because of its essential role in training statistical machine translation (MT) models. Although unnecessary for training neural MT models, word alignment still p
Externí odkaz:
http://arxiv.org/abs/2004.14675