Licheng Liu

Hierarchical Conditional Multi-Task Learning for Streamflow Modeling

2024 · arXiv (Cornell University)

Streamflow, vital for water resource management, is governed by complex hydrological systems involving intermediate processes driven by meteorological forces. While deep learning models have achieved state-of-the-art results of streamflow prediction, their end-to-end single-task learning approach …

A Simple "Try Again" Can Elicit Multi-Turn LLM Reasoning

2025 · arXiv (Cornell University)

Multi-turn problem solving is critical yet challenging for Large Reasoning Models (LRMs) to reflect on their reasoning and revise from feedback. Existing Reinforcement Learning (RL) methods train large reasoning models on a single-turn paradigm with …