Zobrazeno 1 - 10
of 11 463
pro vyhledávání: '"A. Gust"'
Autor:
Singh, Usneek, Cambronero, José, Gulwani, Sumit, Kanade, Aditya, Khatry, Anirudh, Le, Vu, Singh, Mukul, Verbruggen, Gust
Large language models (LLMs) can be leveraged to help with writing formulas in spreadsheets, but resources on these formulas are scarce, impacting both the base performance of pre-trained models and limiting the ability to fine-tune them. Given a cor
Externí odkaz:
http://arxiv.org/abs/2407.10657
Autor:
Singha, Ananya, Chopra, Bhavya, Khatry, Anirudh, Gulwani, Sumit, Henley, Austin Z., Le, Vu, Parnin, Chris, Singh, Mukul, Verbruggen, Gust
Automated insight generation is a common tactic for helping knowledge workers, such as data scientists, to quickly understand the potential value of new and unfamiliar data. Unfortunately, automated insights produced by large-language models can gene
Externí odkaz:
http://arxiv.org/abs/2405.01556
Autor:
Gust, Gunther, Schlüter, Alexander, Feuerriegel, Stefan, Úbeda, Ignacio, Lee, Jonathan T, Neumann, Dirk
With the global effort to reduce carbon emissions, clean technologies such as electric vehicles and heat pumps are increasingly introduced into electricity distribution networks. These technologies considerably increase electricity flows and can lead
Externí odkaz:
http://arxiv.org/abs/2312.14971
Multi-modality promises to unlock further uses for large language models. Recently, the state-of-the-art language model GPT-4 was enhanced with vision capabilities. We carry out a prompting evaluation of GPT-4V and five other baselines on structured
Externí odkaz:
http://arxiv.org/abs/2312.11524
Imagine a developer who can only change their last line of code, how often would they have to start writing a function from scratch before it is correct? Auto-regressive models for code generation from natural language have a similar limitation: they
Externí odkaz:
http://arxiv.org/abs/2310.17680
Autor:
Singh, Mukul, Cambronero, José, Gulwani, Sumit, Le, Vu, Negreanu, Carina, Nouri, Elnaz, Raza, Mohammad, Verbruggen, Gust
Formatting is an important property in tables for visualization, presentation, and analysis. Spreadsheet software allows users to automatically format their tables by writing data-dependent conditional formatting (CF) rules. Writing such rules is oft
Externí odkaz:
http://arxiv.org/abs/2310.17306
Autor:
Khatry, Anirudh, Gulwani, Sumit, Gupta, Priyanshu, Le, Vu, Singha, Ananya, Singh, Mukul, Verbruggen, Gust
Target similarity tuning (TST) is a method of selecting relevant examples in natural language (NL) to code generation through large language models (LLMs) to improve performance. Its goal is to adapt a sentence embedding model to have the similarity
Externí odkaz:
http://arxiv.org/abs/2310.17228
String data is common in real-world datasets: 67.6% of values in a sample of 1.8 million real Excel spreadsheets from the web were represented as text. Systems that successfully clean such string data can have a significant impact on real users. Whil
Externí odkaz:
http://arxiv.org/abs/2308.10922
Progress in sensor technologies has made three-dimensional (3D) representations of the physical world available at a large scale. Leveraging such 3D representations with analytics has the potential to advance Information Systems (IS) research in seve
Externí odkaz:
http://arxiv.org/abs/2308.08560
Data management and analysis tasks are often carried out using spreadsheet software. A popular feature in most spreadsheet platforms is the ability to define data-dependent formatting rules. These rules can express actions such as "color red all entr
Externí odkaz:
http://arxiv.org/abs/2308.07357