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From the 1 of 5 linked papers with an AI index.

collaborators

5 papers

cs.AR2026

From Tool Invocation to Source-Mechanism Exploration: Protected White-Box DSE for Open-Source EDA

Zhiyu Zheng, Yiming Du, Ziyi Wang +1

The paper introduces ReviewDSE, a protected white-box design-space exploration framework that leverages source-level mechanisms in open-source EDA tools to improve placement qualit…

cs.AI2026

What Makes Interaction Trajectories Effective for Training Terminal Agents?

Sidi Yang, Chaofan Tao, Jierun Chen +11

Stronger code agents are commonly assumed to be superior teachers for post-training, yet this assumption remains poorly disentangled from task difficulty, harness design, and stude…

cs.DC2026

Breaking the Training Barrier of Billion-Parameter Universal Machine Learning Interatomic Potentials

Yuanchang Zhou, Hongyu Wang, Yiming Du +12

Universal Machine Learning Interatomic Potentials (uMLIPs), pre-trained on massively diverse datasets encompassing inorganic materials and organic molecules across the entire perio…

cs.CL2026

VEPO: Variable Entropy Policy Optimization for Low-Resource Language Foundation Models

Chonghan Liu, Yimin Du, Qi An +8

Large language models frequently exhibit suboptimal performance on low resource languages, primarily due to inefficient subword segmentation and systemic training data imbalances.…

physics.chem-ph2025

DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials

Jinzhe Zeng, Duo Zhang, Anyang Peng +44

In recent years, machine learning potentials (MLPs) have become indispensable tools in physics, chemistry, and materials science, driving the development of software packages for m…