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Tianshuo Chen

2 accepted papers

2026

Distribution-Aware Multi-Granularity Phase Coding: Towards Lower Conversion Error for Spike-Driven Large Language Models

Hanyuan Zheng, Haozhen Zhang, Tianshuo Chen, Zhaogeng Liu, Yi Chang, Bin Gu
ICLR 2026poster

Spiking large language models (LLMs) offer significant advantages on neuromorphic hardware, yet training them from scratch remains prohibitively expensive. A promising alternative is ANN-to-SNN conversion, which reuses pretrained ANN weights while minimizing conversion error. However, existing conv…

Cited by 0Source ↗code ↗Scholar ↗
2026

Three Forward, One Backward: Memory-Efficient Full-Rank Fine-Tuning of Large Models via Extra Forward Passes

Jia Zhang, Tianshuo Chen, Hualin Zhang, Yu Bai, Zhaogeng Liu, zhiqiang xu +2
ICLR 2026poster

Fine-tuning large language models (LLMs) has achieved significant success in downstream tasks. However, as the model size continues to grow, traditional fine-tuning methods have become increasingly impractical due to their high computational and memory costs. This has motivated researchers to explor…

Cited by 0Source ↗code ↗Scholar ↗