most citedReward Guidance for Reinforcement Learning Tasks Based on Large Language Models: The LMGT Framework

11 citations · 26 across the 8 of their papers we have counts for

collaborators
Showing cs.AIShow all

2 papers · 1 filter

cs.AI2026

Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection

Yongxin Deng, Zhen Fang, Sharon Li +1

Hallucination detection is critical for deploying large language models (LLMs) in real-world applications. Existing hallucination detection methods achieve strong performance when…

cs.AI2024★ 4 cited

Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Bootstrapped Prolog-based Chain-of-Thought

Xiaoyu Tan, Yongxin Deng, Xihe Qiu +7

Large language models have demonstrated remarkable capabilities as general-purpose assistants, excelling in a wide range of reasoning tasks and supporting various aspects of daily…