59 citations · 66 across the 6 of their papers we have counts for
6 papers
A Gradient Perspective on RLVR Stability and Winner Advantage Policy Optimization
Prasanth YSS, Zhichen Ren, Rasa Hosseinzadeh +6
Reinforcement learning with verifiable rewards (RLVR) improves language-model reasoning, but GRPO-style optimization remains prone to collapse. We analyse this instability through…
Protein Large Language Models: A Comprehensive Survey
Yijia Xiao, Wanjia Zhao, Junkai Zhang +12
Protein-specific large language models (Protein LLMs) are revolutionizing protein science by enabling more efficient protein structure prediction, function annotation, and design.…
Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations
Zhicheng Ren, Zhiping Xiao, Yizhou Sun
With the rapid development of social media, the importance of analyzing social network user data has also been put on the agenda. User representation learning in social media is a…
The Uncertainty-based Retrieval Framework for Ancient Chinese CWS and POS
Pengyu Wang, Zhichen Ren
Automatic analysis for modern Chinese has greatly improved the accuracy of text mining in related fields, but the study of ancient Chinese is still relatively rare. Ancient text di…
Dissimilar Nodes Improve Graph Active Learning
Zhicheng Ren, Yifu Yuan, Yuxin Wu +3
Training labels for graph embedding algorithms could be costly to obtain in many practical scenarios. Active learning (AL) algorithms are very helpful to obtain the most useful lab…
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding
Zhiping Xiao, Weiping Song, Haoyan Xu +2
We aim at solving the problem of predicting people's ideology, or political tendency. We estimate it by using Twitter data, and formalize it as a classification problem. Ideology-d…