Runpeng Dai

According to our database, Runpeng Dai authored at least 15 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

G-Zero: Self-Play for Open-Ended Generation from Zero Data.

Chengsong Huang, Haolin Liu, Tong Zheng, Runpeng Dai, Langlin Huang, Jinyuan Li, Zongxia Li, Zhepei Wei, Yu Meng, Jiaxin Huang

CoRR, May, 2026

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification.

Rui Liu, Dian Yu, Zhenwen Liang, Yucheng Shi, Tong Zheng, Runpeng Dai, Haitao Mi, Pratap Tokekar, Leoweiliang

CoRR, May, 2026

Reinforcing Multimodal Reasoning Against Visual Degradation.

Rui Liu, Dian Yu, Haolin Liu, Yucheng Shi, Tong Zheng, Runpeng Dai, Haitao Mi, Pratap Tokekar, Leoweiliang

CoRR, May, 2026

LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling.

Tong Zheng, Haolin Liu, Chengsong Huang, Huiwen Bao, Sheng Zhang, Rui Liu, Runpeng Dai, Ruibo Chen, Chenxi Liu, Tianyi Xiong, Xidong Wu, Hongming Zhang, Heng Huang

CoRR, May, 2026

Parallel-Probe: Towards Efficient Parallel Thinking via 2D Probing.

Tong Zheng, Chengsong Huang, Runpeng Dai, Yun He, Rui Liu, Xin Ni, Huiwen Bao, Kaishen Wang, Hongtu Zhu, Jiaxin Huang, Furong Huang, Heng Huang

CoRR, February, 2026

Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models.

Runpeng Dai, Run Yang, Fan Zhou, Hongtu Zhu

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

StatEval: A Comprehensive Benchmark for Large Language Models in Statistics.

Yuchen Lu, Run Yang, Yichen Zhang, Shuguang Yu, Runpeng Dai, Ziwei Wang, Jiayi Xiang, Wenxin E, Siran Gao, Xinyao Ruan, Yirui Huang, Chenjing Xi, Haibo Hu, Yueming Fu, Qinglan Yu, Xiaobing Wei, Jiani Gu, Rui Sun, Jiaxuan Jia, Fan Zhou

CoRR, October, 2025

VOGUE: Guiding Exploration with Visual Uncertainty Improves Multimodal Reasoning.

Rui Liu, Dian Yu, Tong Zheng, Runpeng Dai, Zongxia Li, Wenhao Yu, Zhenwen Liang, Linfeng Song, Haitao Mi, Pratap Tokekar, Dong Yu

CoRR, October, 2025

CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models.

Runpeng Dai, Linfeng Song, Haolin Liu, Zhenwen Liang, Dian Yu, Haitao Mi, Zhaopeng Tu, Rui Liu, Tong Zheng, Hongtu Zhu, Dong Yu

CoRR, September, 2025

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning.

Tong Zheng, Hongming Zhang, Wenhao Yu, Xiaoyang Wang, Runpeng Dai, Rui Liu, Huiwen Bao, Chengsong Huang, Heng Huang, Dong Yu

CoRR, September, 2025

R1-RE: Cross-Domain Relationship Extraction with RLVR.

Runpeng Dai, Tong Zheng, Run Yang, Hongtu Zhu

CoRR, July, 2025

Deep Distributional Learning with Non-crossing Quantile Network.

Guohao Shen, Runpeng Dai, Guojun Wu, Shikai Luo, Chengchun Shi, Hongtu Zhu

CoRR, April, 2025

Spatio-temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing.

Run Yang, Runpeng Dai, Siran Gao, Xiaocheng Tang, Fan Zhou, Hongtu Zhu

CoRR, March, 2025

AI-Driven Multimodal TMJ Patient Modeling: From Unstructured Notes to Precision Treatment.

Alban Gaydamour, Enzo Tulissi, Claudia Mattos, Rodrigo Teixeira, Maxwell Shin, Adam Hershey, Anabelle Kwon, Felicia Miranda, Marcela Gurgel, Selene Barone, Aron Aliaga, Marilia Yatabe, Paulo Zupelari, Marina Zupelari, David Hanauer, Nina Hsu, Steve Pieper, Eduardo Caleme, Jonas Bianchi, Joao Goncalves, Daniela Goncalves, Lawrence Wolford, Antonio C. Ruellas, Juan Prieto, Tengfei Li, Hongtu Zhu, Runpeng Dai, Martin Styner, Najla Al Turkestani, Alexandre F. DaSilva, Lucia H. S. Cevidanes

Proceedings of the Clinical Image-Based Procedures - 14th International Workshop, 2025

2024

Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences.

Runpeng Dai, Jianing Wang, Fan Zhou, Shikai Luo, Zhiwei Qin, Chengchun Shi, Hongtu Zhu

CoRR, 2024