Results 61 to 70 of about 2,779 (194)

Assessment of the three representative empirical models for zenith tropospheric delay (ZTD) using the CMONOC data

Geodesy and Geodynamics
The precise correction of atmospheric zenith tropospheric delay (ZTD) is significant for the Global Navigation Satellite System (GNSS) performance regarding positioning accuracy and convergence time.
Debao Yuan, Jian Li, Yifan Yao, Fei Yang, Yingying Wang, Ran Chen, Tairan Xu   +6 more
doaj   +1 more source

Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions

, 2023
Prompting-based large language models (LLMs) are surprisingly powerful at generating natural language reasoning steps or Chains-of-Thoughts (CoT) for multi-step question answering (QA).
Balasubramanian, Niranjan, Khot, Tushar, Sabharwal, Ashish, Trivedi, Harsh   +3 more
core  

ChatGPT's Performance Evaluation in Spreadsheets Modelling to Inform Assessments Redesign

Journal of Computer Assisted Learning, Volume 41, Issue 3, June 2025.
ABSTRACT Background Increasingly, students are using ChatGPT to assist them in learning and even completing their assessments, raising concerns of academic integrity and loss of critical thinking skills. Many articles suggested educators redesign assessments that are more ‘Generative‐AI‐resistant’ and to focus on assessing students on higher order ...
Michelle Cheong
wiley   +1 more source

Regional Tropospheric Delay Prediction Model Based on LSTM-Enhanced Encoder Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Precise modeling of zenith tropospheric delay (ZTD) is essential for real-time high-precision positioning in global navigation satellite systems. Due to the stochastic variability of atmospheric water vapor across different regions, tropospheric delay ...
Yuanfang Peng, Chenglin Cai, Zexian Li, Kaihui Lv, Xue Zhang, Yihao Cai   +5 more
doaj   +1 more source

La summarization di testi giuridici: una sperimentazione con GPT-3

Rivista Italiana di Informatica e Diritto, 2023
Nel presente saggio, dopo una breve presentazione dei modelli linguistici BERT e GPT-3, viene discussa la possibilità di usare l’intelligenza artificiale per aumentare le capacità di comunicare l’informazione giuridica e in particolare le informazioni ...
Manola Cherubini, Francesco Romano, Andrea Bolioli, Nazareno De Francesco, Irene Benedetto   +4 more
doaj   +1 more source

Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence?

Applied Stochastic Models in Business and Industry, Volume 41, Issue 2, March/April 2025.
ABSTRACT The paper arises from the experience of Applied Stochastic Models in Business and Industry which has seen, over the years, more and more contributions related to Machine Learning rather than to what was intended as a stochastic model. The very notion of a stochastic model (e.g., a Gaussian process or a Dynamic Linear Model) can be subject to ...
Fabrizio Ruggeri, David Banks, William S. Cleveland, Nicholas I. Fisher, Marcos Escobar‐Anel, Paolo Giudici, Emanuela Raffinetti, Roger W. Hoerl, Dennis K. J. Lin, Ron S. Kenett, Wai Keung Li, Philip L. H. Yu, Jean‐Michel Poggi, Marco S. Reis, Gilbert Saporta, Piercesare Secchi, Rituparna Sen, Ansgar Steland, Zhanpan Zhang   +18 more
wiley   +1 more source

Italian Crossword Generator: Enhancing Education through Interactive Word Puzzles

, 2023
Educational crosswords offer numerous benefits for students, including increased engagement, improved understanding, critical thinking, and memory retention.
Angelini, Giovanni, Gori, Marco, laquinta, Tommaso, Maggini, Marco, Rigutini, Leonardo, Zanollo, Asya, Zeinalipour, Kamyar   +6 more
core  

Scaling Laws for Discriminative Classification in Large Language Models

Applied AI Letters, Volume 6, Issue 1, February 2025.
ABSTRACT Modern large language models (LLMs) represent a paradigm shift in what can plausibly be expected of machine learning models. The fact that LLMs can effectively generate sensible answers to a diverse range of queries suggests that they would be useful in customer support applications.
Dean Wyatte, Fatemeh Tahmasbi, Ming Li, Thomas Markovich   +3 more
wiley   +1 more source

You're (Not) My Type‐ Can LLMs Generate Feedback of Specific Types for Introductory Programming Tasks?

Journal of Computer Assisted Learning, Volume 41, Issue 1, February 2025.
ABSTRACT Background Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technology systems and is traditionally rooted in deterministic feedback defined by experts and their experience.
Dominic Lohr, Hieke Keuning, Natalie Kiesler   +2 more
wiley   +1 more source

Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning

, 2023
Language model probing is often used to test specific capabilities of these models. However, conclusions from such studies may be limited when the probing benchmarks are small and lack statistical power.
Lialin, Vladislav, Rumshisky, Anna, Shivagunde, Namrata   +2 more
core