collaborators

5 papers

cs.SD2026

SymphonyGen: 3D Hierarchical Orchestral Generation with Controllable Harmony Skeleton

Xuzheng He, Nan Nan, Zhilin Wang +7

Generating symphonic music requires simultaneously managing high-level structural form and dense, multi-track orchestration, yet existing symbolic models often struggle with a "com…

cs.CL2024

Interpretable Contrastive Monte Carlo Tree Search Reasoning

Zitian Gao, Boye Niu, Xuzheng He +5

We propose SC-MCTS*: a novel Monte Carlo Tree Search (MCTS) reasoning algorithm for Large Language Models (LLMs), significantly improves both reasoning accuracy and speed. Our moti…

cs.AI2024

How Do Humans Write Code? Large Models Do It the Same Way Too

Long Li, Xuzheng He, Haozhe Wang +2

Program-of-Thought (PoT) replaces natural language-based Chain-of-Thought (CoT) as the most popular method in Large Language Models (LLMs) mathematical reasoning tasks by utilizing…

cs.LG2024

Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning

Qingyu Yin, Xuzheng He, Luoao Deng +5

Fine-tuning and in-context learning (ICL) are two prevalent methods in imbuing large language models with task-specific knowledge. It is commonly believed that fine-tuning can surp…

cs.CL2024

Demonstrating Mutual Reinforcement Effect through Information Flow

Chengguang Gan, Xuzheng He, Qinghao Zhang +1

The Mutual Reinforcement Effect (MRE) investigates the synergistic relationship between word-level and text-level classifications in text classification tasks. It posits that the p…