4 papers
Revision-Aware Success Prediction from Multi-Attempt Programming Trajectories
Md Faizul Ibne Amin, Yutaka Watanobe, Daniel M. Muepu +4
Programming outcome prediction plays a central role in data-driven programming education, supporting learner modeling, timely intervention, and adaptive assistance. Yet predicting…
Large Language Models as Modal Models in Linguistics
Haruto Suzuki, Saku Sugawara
The rapid advancement of large language models (LLMs) has intensified debates about their significance for linguistic theory. These debates are commonly divided into three position…
LLM-as-a-Judge for Contest-Style Human-AI Co-Creation: A Reliability-Aware Evaluation Framework for Coding
Md Faizul Ibne Amin, Yutaka Watanobe, Daniel M. Muepu +3
Large language models now judge open-ended outputs and co-create code with programmers, yet judgments of human-AI co-creation must be reliable, comparable across models, and interp…
AIRoA MoMa Dataset: A Large-Scale Hierarchical Dataset for Mobile Manipulation
Ryosuke Takanami, Petr Khrapchenkov, Shu Morikuni +32
As robots transition from controlled settings to unstructured human environments, building generalist agents that can reliably follow natural language instructions remains a centra…