papers

Publications (9)

cs.LG2026

SemRep: Generative Code Representation Learning with Code Transformations

Weichen Li, Jiamin Song, Bogdan Alexandru Stoica +4

Code transformation is a foundational capability in the software development process, where its effectiveness relies on constructing a high-quality code representation to character…

cs.SE2022

TOGA: A Neural Method for Test Oracle Generation

Elizabeth Dinella, Gabriel Ryan, Todd Mytkowicz +1

Testing is widely recognized as an important stage of the software development lifecycle. Effective software testing can provide benefits such as bug finding, preventing regression…

cs.LG2019

CLN2INV: Learning Loop Invariants with Continuous Logic Networks

Gabriel Ryan, Justin Wong, Jianan Yao +2

Program verification offers a framework for ensuring program correctness and therefore systematically eliminating different classes of bugs. Inferring loop invariants is one of the…

cs.SE2026

FastContext: Training Efficient Repository Explorer for Coding Agents

Shaoqiu Zhang, Maoquan Wang, Yuling Shi +12

Large Language Model (LLM) coding agents have achieved strong results on software engineering tasks, yet repository exploration remains a major bottleneck: locating relevant code c…

cs.HC2018

At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity

Gabriel Ryan, Abigail Mosca, Remco Chang +1

When inspecting information visualizations under time critical settings, such as emergency response or monitoring the heart rate in a surgery room, the user only has a small amount…

cs.LG2026

DevBench: A Realistic, Developer-Informed Benchmark for Code Generation Models

Adarsh Kumarappan, Pareesa Ameneh Golnari, Wen Wen +5

DevBench is a telemetry-driven benchmark designed to evaluate Large Language Models (LLMs) on realistic code completion tasks. It includes 1,800 evaluation instances across six pro…