Zeyu Zhang

LLM3:Large Language Model-based Task and Motion Planning with Motion Failure Reasoning

2024 · arXiv (Cornell University)

Conventional Task and Motion Planning (TAMP) approaches rely on manually crafted interfaces connecting symbolic task planning with continuous motion generation. These domain-specific and labor-intensive modules are limited in addressing emerging tasks in real-world settings. Here, …

Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy

2024 · Proceedings of the AAAI Conference on Artificial Intelligence

Learnersourcing offers great potential for scalable education through student content creation. However, predicting student performance on learnersourced questions, which is essential for personalizing the learning experience, is challenging due to the inherent noise in student-generated …

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge

2025 · arXiv (Cornell University)

LLMs have emerged as powerful evaluators in the LLM-as-a-Judge paradigm, offering significant efficiency and flexibility compared to human judgments. However, previous methods primarily rely on single-point evaluations, overlooking the inherent diversity and uncertainty in human …