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Pao Siangliulue

2 accepted papers

2025

CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation

ACL 2025finding

Despite the surge of interest in autonomous scientific discovery (ASD) of software artifacts (e.g., improved ML algorithms), current ASD systems face two key limitations: (1) they largely explore variants of existing codebases or similarly constrained design spaces, and (2) they produce large volume…

2024

ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models

EMNLP 2024main

When conducting literature reviews, scientists often create literature review tables—tables whose rows are publications and whose columns constitute a schema, a set of aspects used to compare and contrast the papers. Can we automatically generate these tables using language models (LMs)? In this wor…

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