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NeurIPS 2026Institute of automation, ChineseMeituanmeituanPekingAlignment & preference optimization

Beyond Outcome: Trajectory-Driven Prompt Optimization via Multi-Dimensional Rewards

Zhixiang Liang, Yixiang Huang, CHENJING CAI, Hao Wu and 6 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
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NeurIPS 2026PekingZhejiang LabmeituanLLM pretraining & scaling laws

Accelerating LLM Pre-Training through Flat-Direction Dynamics Enhancement

A Riemannian ODE framework shows adaptive optimizers dampen flat directions too conservatively, and LITE accelerates Muon and SOAP by boosting flat-direction updates, cutting LLM pre-training time.

Shuchen Zhu, Rizhen Hu, Mingze Wang, Mou Sun and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5