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Stephen Sheng

2 accepted papers

2026

Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning

ICLR 2026poster

Reasoning about failures is crucial for building reliable and trustworthy robotic systems. Prior approaches either treat failure reasoning as a closed-set classification problem or assume access to ample human annotations. Failures in the real world are typically subtle, combinatorial, and difficult…

Cited by 0SourceScholar
2022

An Unsupervised Hunt for Gravitational Lenses

AISTATS 2022poster

Strong gravitational lenses allow us to peer into the farthest reaches of space by bending the light from a background object around a massive object in the foreground. Unfortunately, these lenses are extremely rare, and manually finding them in astronomy surveys is difficult and time-consuming. We…

Cited by 2SourcePDFScholar