Vu Le
5 papers in the PaperMetrix corpus
Papers by this author
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On the fly synthesis of edit suggestions
2019 · Conference on Object-Oriented Programming Systems, Languages, and Applications
When working with a document, users often perform context-specific repetitive edits – changes to the document that are similar but specific to the contexts at their locations. Programming by demonstration/examples (PBD/PBE) systems automate these tasks …
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Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs
2023 · arXiv (Cornell University)
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, …
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Solving Data-centric Tasks using Large Language Models
2024
Shraddha Barke, Christian Poelitz, Carina Negreanu, Benjamin Zorn, José Cambronero, Andrew Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams. Findings of the Association for Computational Linguistics: NAACL 2024. …
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An empirical study of validating synthetic data for formula generation
2025
Large language models (LLMs) can be leveraged to help write formulas in spreadsheets, but formula data resources are scarce, impacting both the base performance of pre-trained models and limiting the ability to fine-tune them.Given a …
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LLM-Guided Compositional Program Synthesis
2025 · arXiv (Cornell University)
Program synthesis from input-output examples, also called programming by example (PBE), has had tremendous impact on automating end-user tasks. Large language models (LLMs) have the ability to solve PBE tasks by generating code in different …