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Ruoqing Zhao

2 accepted papers

2026

Think Fast and Slow: Step-Level Cognitive Depth Adaptation for LLM Agents

ICML 2026poster

Large language models (LLMs) are increasingly deployed as autonomous agents for multi-turn decision-making tasks. However, current agents typically rely on fixed cognitive patterns: non-thinking models generate immediate responses, while thinking models engage in deep reasoning uniformly. This rigid…

Cited by 0SourceScholar
2024

An Empirical Investigation of Domain Adaptation Ability for Chinese Spelling Check Models

ICASSP 2024accepted

Chinese Spelling Check (CSC) is a meaningful task in the area of Natural Language Processing (NLP) which aims at detecting spelling errors in Chinese texts and then correcting these errors. However, CSC models are based on pretrained language models, which are trained on a general corpus. Consequent…

Cited by 0SourceScholar