Yuanzhe Zhang

Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks

2025 · Proceedings of the AAAI Conference on Artificial Intelligence

In this paper, we propose Neural-Symbolic Collaborative Distillation (NesyCD), a novel knowledge distillation method for learning the complex reasoning abilities of Large Language Models (LLMs, e.g., \textgreater 13B). We argue that complex reasoning tasks are …

An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge

2017

With the rapid growth of knowledge bases (KBs) on the web, how to take full advantage of them becomes increasingly important. Question answering over knowledge base (KB-QA) is one of the promising approaches to access …