False-positive bug reports in the Linux kernel consume effort comparable to real bugs and can be filtered by LLMs using retrieval-augmented generation at 88% F1.
Title resolution pending
5 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
years
2026 5representative citing papers
MAEPose is a masked autoencoder that learns spatiotemporal representations from unlabeled mmWave radar videos to estimate human poses, outperforming baselines by up to 22.1% in MPJPE.
CoNewsReader integrates user comments with an LLM to improve critical news reading on social media, with a 24-participant study showing gains in comprehension and critical thinking over baseline interfaces.
Rule-based and learning-based algorithms simplify dance motions to help novices learn more effectively while maintaining naturalness and style.
RoboBlockly Studio integrates block programming, AI conversation, and robot execution to create a feedback loop that supports student agency, transparency, and reflection in computational thinking education, as tested with 32 high school students.
citing papers explorer
-
Characterizing and Mitigating False-Positive Bug Reports in the Linux Kernel
False-positive bug reports in the Linux kernel consume effort comparable to real bugs and can be filtered by LLMs using retrieval-augmented generation at 88% F1.
-
MAEPose: Self-Supervised Spatiotemporal Learning for Human Pose Estimation on mmWave Video
MAEPose is a masked autoencoder that learns spatiotemporal representations from unlabeled mmWave radar videos to estimate human poses, outperforming baselines by up to 22.1% in MPJPE.
-
CoNewsReader: Supporting Comprehensive Understanding and Raising Critical Thoughts on Social Media News Through Comments
CoNewsReader integrates user comments with an LLM to improve critical news reading on social media, with a 24-participant study showing gains in comprehension and critical thinking over baseline interfaces.
-
Make it Simple, Make it Dance: Dance Motion Simplification to Support Novices' Dance Learning
Rule-based and learning-based algorithms simplify dance motions to help novices learn more effectively while maintaining naturalness and style.
-
RoboBlockly Studio: Conversational Block Programming with Embodied Robot Feedback for Computational Thinking
RoboBlockly Studio integrates block programming, AI conversation, and robot execution to create a feedback loop that supports student agency, transparency, and reflection in computational thinking education, as tested with 32 high school students.