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NeurIPS 2026TsinghuaSapient IntelligenceInstruction tuning

When the Merge Coefficient Stops Mattering: Proximity Regularized Merging for Continual LoRA Adaptation

Proximity Regularized Merging improves continual LoRA by training mergeable task vectors via proximal penalties, reducing interference and broadening coefficient stability.

Yixuan Liu, Yuhao Sun, Sen Song, Li Jin

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

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lenient 3/5
medium 6/10
strict 2/5
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NeurIPS 2026TsinghuaSapient IntelligenceTsinghua University, TsinghuaRagentile IntelligenceDeep RL

Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks

SATR constrains gradient-free RSNN updates via signal-adaptive KL trust regions, improving stability and matching PPO-LSTM returns on continuous control benchmarks.

Jinhao Li, Yuhao Sun, Zhiyuan Ma, Hao He and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5