Education
Idiographic Personality Gaussian Process for Psychological Assessment
However, existing frameworks face several interrelated limitations.
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
Designing generalizable agents capable of adapting to diverse embodiments has achieved significant attention in Reinforcement Learning (RL), which is critical for deploying RL agents in various real-world applications. Previous Cross-Embodiment RL approaches have focused on transferring knowledge across embodiments within specific tasks.
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
Where the updated knowledge resides in memories is a fundamental question for model editing.
The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track The State of Data Curation at NeurIPS: Appendix A. Rubric 2
A Spoken Language Dataset of Descriptions for Speech - Based Gro unded Language Learning.
Autoformalizing Mathematical Statements by Symbolic Equivalence and Semantic Consistency Zenan Li1 Yifan Wu2 Zhaoyu Li3 Xinming Wei 2
This work was partially done during Zenan's and Yifan's internships at MSRA. 38th Conference on Neural Information Processing Systems (NeurIPS 2024).
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems Bin Lei
Recent advancements in large language models, such as GPT -4, have demonstrated remarkable capabilities in processing standard queries.
