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Showing papers from University of Chinese Academy of Science Show all papers

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Flux: Online, Fine-Grained Data Scheduling for Training Machine Learning Interatomic Potentials

Yuanchang Zhou, Chen Wang, Hongtao Xu, Mingzhen Li and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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Verigrad: Verification-Driven Multi-Agent GPU Kernel Generation for High-Order MLIP Derivatives

yao liu, Yuanchang Zhou, Hongtao Xu, Mingzhen Li

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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medium 0/10
strict 0/5
83%Must read
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TGRL: Temperature-Grouped Reinforcement Learning for Efficient Exploration in LLMs

TGRL turns temperature-induced rollout diversity into an explicit RLVR training signal via reward contrast and Jensen-Shannon divergence, accelerating convergence up to 36% while improving math, code, and agent benchmarks.

Zihan Lin, Xiaohan Wang, Jie Cao, Jiajun Chai and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 8 on Hugging Face · Code ★ 3

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 3/5
medium 8/10
strict 2/5