9 citations · 16 across the 5 of their papers we have counts for
5 papers
-GRPO: Unifying the GRPO Frameworks with Learnable Token Preferences
Yining Wang, Jinman Zhao, Chuangxin Zhao +3
Reinforcement Learning with Human Feedback (RLHF) has been the dominant approach for improving the reasoning capabilities of Large Language Models (LLMs). Recently, Reinforcement L…
UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models
Xueyan Zhang, Jinman Zhao, Zhifei Yang +4
This paper introduces Uniform Orthogonal Reinitialization Adaptation (UORA), a novel parameter-efficient fine-tuning (PEFT) approach for Large Language Models (LLMs). UORA achieves…
GPT-Signal: Generative AI for Semi-automated Feature Engineering in the Alpha Research Process
Yining Wang, Jinman Zhao, Yuri Lawryshyn
In the trading process, financial signals often imply the time to buy and sell assets to generate excess returns compared to a benchmark (e.g., an index). Alpha is the portion of a…
Role-Play Paradox in Large Language Models: Reasoning Performance Gains and Ethical Dilemmas
Jinman Zhao, Zifan Qian, Linbo Cao +5
Role-play in large language models (LLMs) enhances their ability to generate contextually relevant and high-quality responses by simulating diverse cognitive perspectives. However,…
Gender Bias in Large Language Models across Multiple Languages
Jinman Zhao, Yitian Ding, Chen Jia +2
With the growing deployment of large language models (LLMs) across various applications, assessing the influence of gender biases embedded in LLMs becomes crucial. The topic of gen…