Peijia Qin

According to our database, Peijia Qin authored at least 13 papers between 2024 and 2026.

Collaborative distances:

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

2026

AIBuildAI-2: A Knowledge-Enhanced Agent for Automatically Building AI Models.

Ruiyi Zhang, Peijia Qin, Qi Cao, Li Zhang, Pengtao Xie

CoRR, May, 2026

LLMs Know When They Know, but Do Not Act on It: A Metacognitive Harness for Test-time Scaling.

Qi Cao, Yufan Wang, Peijia Qin, Shuhao Zhang, Pengtao Xie

CoRR, May, 2026

AIBuildAI: An AI Agent for Automatically Building AI Models.

Ruiyi Zhang, Peijia Qin, Qi Cao, Li Zhang, Pengtao Xie

CoRR, April, 2026

Models Under SCOPE: Scalable and Controllable Routing via Pre-hoc Reasoning.

Qi Cao, Shuhao Zhang, Ruizhe Zhou, Ruiyi Zhang, Peijia Qin, Pengtao Xie

CoRR, January, 2026

FunPRM: Function-as-Step Process Reward Model with Meta Reward Correction for Code Generation.

Ruiyi Zhang, Peijia Qin, Qi Cao, Eric Xue, Pengtao Xie

CoRR, January, 2026

DAJ: Data-Reweighted LLM Judge for Test-Time Scaling in Code Generation.

Peijia Qin, Ruiyi Zhang, Qi Cao, Pengtao Xie

CoRR, January, 2026

BioTool: A Comprehensive Tool-Calling Dataset for Enhancing Biomedical Capabilities of Large Language Models.

Xin Gao, Ruiyi Zhang, Meixi Du, Peijia Qin, Pengtao Xie

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

DreamPRM-Code: Function-as-Step Process Reward Model with Label Correction for LLM Coding.

Ruiyi Zhang, Peijia Qin, Qi Cao, Pengtao Xie

CoRR, December, 2025

BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation.

Peijia Qin, Ruiyi Zhang, Pengtao Xie

Trans. Mach. Learn. Res., 2025

Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems.

Luke Bhan, Peijia Qin, Miroslav Krstic, Yuanyuan Shi

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

Learning to Quantize for Training Vector-Quantized Networks.

Peijia Qin, Jianguo Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Threshold Moving for Online Class Imbalance Learning with Dynamic Evolutionary Cost Vector.

Peijia Qin, Shuxian Li, Xiaoqun Liu, Zubin Zheng, Siang Yew Chong

Trans. Mach. Learn. Res., 2024

Online Learning in Varying Feature Spaces with Informative Variation.

Peijia Qin, Liyan Song

Proceedings of the Intelligent Information Processing XII, 2024