Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Cambronero, Jose P."'
Autor:
Seshagiri, Vishwanath, Balyan, Siddharth, Anand, Vaastav, Dhole, Kaustubh, Sharma, Ishan, Wildani, Avani, Cambronero, José, Züfle, Andreas
Logging is a critical function in modern distributed applications, but the lack of standardization in log query languages and formats creates significant challenges. Developers currently must write ad hoc queries in platform-specific languages, requi
Externí odkaz:
http://arxiv.org/abs/2412.03612
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:
Tian, Yuzhang, Zhao, Jianbo, Dong, Haoyu, Xiong, Junyu, Xia, Shiyu, Zhou, Mengyu, Lin, Yun, Cambronero, José, He, Yeye, Han, Shi, Zhang, Dongmei
Spreadsheets, with their extensive two-dimensional grids, various layouts, and diverse formatting options, present notable challenges for large language models (LLMs). In response, we introduce SpreadsheetLLM, pioneering an efficient encoding method
Externí odkaz:
http://arxiv.org/abs/2407.09025
Autor:
Barke, Shraddha, Poelitz, Christian, Negreanu, Carina Suzana, Zorn, Benjamin, Cambronero, José, Gordon, Andrew D., Le, Vu, Nouri, Elnaz, Polikarpova, Nadia, Sarkar, Advait, Slininger, Brian, Toronto, Neil, Williams, Jack
Large language models (LLMs) are rapidly replacing help forums like StackOverflow, and are especially helpful for non-professional programmers and end users. These users are often interested in data-centric tasks, such as spreadsheet manipulation and
Externí odkaz:
http://arxiv.org/abs/2402.11734
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
Large language models (LLMs) are increasingly applied for tabular tasks using in-context learning. The prompt representation for a table may play a role in the LLMs ability to process the table. Inspired by prior work, we generate a collection of sel
Externí odkaz:
http://arxiv.org/abs/2310.10358
Autor:
Phung, Tung, Pădurean, Victor-Alexandru, Singh, Anjali, Brooks, Christopher, Cambronero, José, Gulwani, Sumit, Singla, Adish, Soares, Gustavo
Generative AI and large language models hold great promise in enhancing programming education by automatically generating individualized feedback for students. We investigate the role of generative AI models in providing human tutor-style programming
Externí odkaz:
http://arxiv.org/abs/2310.03780
Autor:
Gordon, Andrew D., Negreanu, Carina, Cambronero, José, Chakravarthy, Rasika, Drosos, Ian, Fang, Hao, Mitra, Bhaskar, Richardson, Hannah, Sarkar, Advait, Simmons, Stephanie, Williams, Jack, Zorn, Ben
Users are increasingly being warned to check AI-generated content for correctness. Still, as LLMs (and other generative models) generate more complex output, such as summaries, tables, or code, it becomes harder for the user to audit or evaluate the
Externí odkaz:
http://arxiv.org/abs/2310.01297