← Search

Haosheng Zou

2 accepted papers

2025

Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision

EMNLP 2025

Recent advances in Large Language Models (LLMs) have highlighted the challenge of handling long-context tasks, where models need to reason over extensive input contexts to aggregate target information. While Chain-of-Thought (CoT) prompting has shown promise for multi-step reasoning, its effectivene

Cited by 0SourcePDFScholar
2021

Learning Task-Distribution Reward Shaping with Meta-Learning

AAAI 2021technical

Reward shaping is one of the most effective methods to tackle the crucial yet challenging problem of credit assignment and accelerate Reinforcement Learning. However, designing shaping functions usually requires rich expert knowledge and hand-engineering, and the difficulties are further exacerbated…

Cited by 21SourcePDFScholar